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Recruiter Agent\ndescription: An intelligent recruiting copilot. Sign in, connect your Greenhouse (and optionally PDL / Gem), and the agent ranks your pipeline against any open req with multi-feature scoring, second-pass critic review, and network-aware reasoning. Comments on each candidate card feed back into the next ranking; rejection reasons from Greenhouse tune the rubric automatically.\ntags:\n - recruiting\n - hr\n - ranking\n - postman\nintegrations:\n - Greenhouse Harvest (user-supplied API key)\n - People Data Labs (optional, user-supplied)\n - Gem (optional, user-supplied)\n - GNews (optional, user-supplied)\n - Google Gmail + Calendar (optional, user-supplied OAuth)\n - Anthropic Claude (provided by the agent owner)\nvisibility: private\n---\n\n# Recruiter Agent\n\n## What it does\n\nGiven an open requisition, the agent pulls candidates from every source the user has connected, scores them on a thirteen-feature rubric, runs AI reasoning per candidate, applies a second-pass critic review, and returns the top thirty with concrete reasoning and \"network context\" observations the way a senior recruiter would frame them.\n\nThe agent learns continuously from three signals:\n\n- Thumbs feedback per card (numeric rubric weight updates)\n- Free-text comments per card (injected verbatim into the next ranking's reasoning prompt)\n- Greenhouse rejection reasons (mapped to feature impact via `intelligence/rejection_signal.py`)\n\n## Architecture\n\n- Frontend agent on Astro AI, port 80\n- Managed Postgres for canonical state\n- In-process NetworkX context graph (swappable to Astro managed Neo4j post-launch)\n- Anthropic Claude (Sonnet for reasoning, Haiku for cheaper passes)\n- Postman API Catalog publish + Postman mocks/monitors for the integration plane\n\n## User model\n\nSign in with email and password. Paste your Greenhouse Harvest API key on the settings page. Per-user credentials encrypted at rest with Fernet. The agent owner pays for Claude; users bring everything else.\n",{"_158":159,"_160":833,"_162":834,"_164":835},"2026-06-08T20:59:31Z",[186,187,188,189],"\n# Recruiter Agent\n\n## What it does\n\nGiven an open requisition, the agent pulls candidates from every source the user has connected, scores them on a thirteen-feature rubric, runs AI reasoning per candidate, applies a second-pass critic review, and returns the top thirty with concrete reasoning and \"network context\" observations the way a senior recruiter would frame them.\n\nThe agent learns continuously from three signals:\n\n- Thumbs feedback per card (numeric rubric weight updates)\n- Free-text comments per card (injected verbatim into the next ranking's reasoning prompt)\n- Greenhouse rejection reasons (mapped to feature impact via `intelligence/rejection_signal.py`)\n\n## Architecture\n\n- Frontend agent on Astro AI, port 80\n- Managed Postgres for canonical state\n- In-process NetworkX context graph (swappable to Astro managed Neo4j post-launch)\n- Anthropic Claude (Sonnet for reasoning, Haiku for cheaper passes)\n- Postman API Catalog publish + Postman mocks/monitors for the integration plane\n\n## User model\n\nSign in with email and password. Paste your Greenhouse Harvest API key on the settings page. Per-user credentials encrypted at rest with Fernet. 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Recruiter Agent\ndescription: An intelligent recruiting copilot. Sign in, connect your Greenhouse (and optionally PDL / Gem), and the agent ranks your pipeline against any open req with multi-feature scoring, second-pass critic review, and network-aware reasoning. Comments on each candidate card feed back into the next ranking; rejection reasons from Greenhouse tune the rubric automatically.\ntags:\n - recruiting\n - hr\n - ranking\n - postman\nintegrations:\n - Greenhouse Harvest (user-supplied API key)\n - People Data Labs (optional, user-supplied)\n - Gem (optional, user-supplied)\n - GNews (optional, user-supplied)\n - Google Gmail + Calendar (optional, user-supplied OAuth)\n - Anthropic Claude (user-supplied, BYOK)\n - Slack (optional, deployer-supplied app tokens)\nvisibility: public\n---\n\n# Recruiter Agent\n\n## What it does\n\nGiven an open requisition, the agent pulls candidates from every source the user has connected, scores them on a thirteen-feature rubric, runs AI reasoning per candidate, applies a second-pass critic review, and returns the top thirty with concrete reasoning and \"network context\" observations the way a senior recruiter would frame them.\n\nThe agent learns continuously from three signals:\n\n- Thumbs feedback per card (numeric rubric weight updates), from the web UI or the Slack `feedback` command\n- Free-text comments per card (injected verbatim into the next ranking's reasoning prompt)\n- Greenhouse rejection reasons (mapped to feature impact via `intelligence/rejection_signal.py`)\n\n## Deploy your own copy\n\nEvery deployment is fully isolated: its own managed Postgres, its own auto-generated encryption secrets, its own users. You do not share data with any other deployment of this blueprint. Nothing needs to be pasted at deploy time; the agent generates and persists its platform secrets on first boot.\n\n```bash\n# 1. Install the CLI and sign in\ncurl -fsSL https://astropods.com/install | sh\nast login\n\n# 2. Deploy straight from the public catalog\nast deploy recruiter-agent --adapter slack --adapter web --wait\n```\n\nFor Slack, create your own Slack app in your workspace first: import `doc/slack-app-manifest.json` at https://api.slack.com/apps (Create New App, then \"From an app manifest\"), install it to the workspace, and paste the two tokens (`xapp-...` app token, `xoxb-...` bot token) when the deploy form asks for them.\n\n### Heads up: your web URL may not provision\n\nThe platform's shared load balancer has a limited number of URL slots. Your deployment can come up healthy but never receive a public web URL (the link returns NXDOMAIN). This is a platform capacity issue, not a broken deploy. The Slack path does not use a URL slot and works on every deployment, so treat Slack as the primary surface and the web UI as a bonus if your URL provisions.\n\n### First-run data\n\nPick one of three on the deploy form:\n\n1. Nothing (default): users paste their own Greenhouse Harvest key (`setkey greenhouse ` in a Slack DM, or the web Settings page) and rank their real pipeline.\n2. `GREENHOUSE_MOCK_URL`: point Greenhouse calls at a Postman mock for demos.\n3. `USE_SAMPLE_DATA=true`: zero-Greenhouse demo mode; ranking runs against 15 bundled sample candidates.\n\nIn every case each user sets their own Anthropic key: `setkey anthropic sk-ant-...` in a Slack DM, or the web Settings page.\n\n## Using it from Slack (no web UI needed)\n\nDM the bot after install. Your account is created automatically from your Slack email.\n\n| Command | What it does |\n|---|---|\n| `help` | Command list |\n| `whoami` | Your account + which keys are set |\n| `setkey ` | DM only. Store your BYOK key: anthropic, greenhouse, pdl, gem, gnews |\n| `list jobs` | Open requisitions |\n| `rank ` | Ranked shortlist with reasoning, streamed progress |\n| `feedback [comment]` | Thumbs on your latest shortlist; trains your rubric |\n| `draft [hook]` | Claude-drafted outreach email for a shortlisted candidate |\n\n## Architecture\n\n- FastAPI agent on Astro AI: web UI on port 80, plus the messaging sidecar for Slack\n- Managed Postgres for canonical state, auto-provisioned per deployment\n- In-process NetworkX context graph (swappable to a managed graph store post-launch)\n- Anthropic Claude (Sonnet for reasoning, Haiku for cheaper passes)\n- Postman API Catalog publish + Postman mocks/monitors for the integration plane\n\n## User model\n\nSign in with email and password on the web, or just DM the bot on Slack; identity unifies by email across both surfaces. Per-user credentials are Fernet-encrypted at rest. Every user brings their own Anthropic and Greenhouse keys, so costs land on the right account.\n",{"_158":159,"_160":1397,"_162":1398,"_164":1399},"2026-06-10T17:44:36Z",[186,187,188,189],"\n# Recruiter Agent\n\n## What it does\n\nGiven an open requisition, the agent pulls candidates from every source the user has connected, scores them on a thirteen-feature rubric, runs AI reasoning per candidate, applies a second-pass critic review, and returns the top thirty with concrete reasoning and \"network context\" observations the way a senior recruiter would frame them.\n\nThe agent learns continuously from three signals:\n\n- Thumbs feedback per card (numeric rubric weight updates), from the web UI or the Slack `feedback` command\n- Free-text comments per card (injected verbatim into the next ranking's reasoning prompt)\n- Greenhouse rejection reasons (mapped to feature impact via `intelligence/rejection_signal.py`)\n\n## Deploy your own copy\n\nEvery deployment is fully isolated: its own managed Postgres, its own auto-generated encryption secrets, its own users. You do not share data with any other deployment of this blueprint. Nothing needs to be pasted at deploy time; the agent generates and persists its platform secrets on first boot.\n\n```bash\n# 1. Install the CLI and sign in\ncurl -fsSL https://astropods.com/install | sh\nast login\n\n# 2. Deploy straight from the public catalog\nast deploy recruiter-agent --adapter slack --adapter web --wait\n```\n\nFor Slack, create your own Slack app in your workspace first: import `doc/slack-app-manifest.json` at https://api.slack.com/apps (Create New App, then \"From an app manifest\"), install it to the workspace, and paste the two tokens (`xapp-...` app token, `xoxb-...` bot token) when the deploy form asks for them.\n\n### Heads up: your web URL may not provision\n\nThe platform's shared load balancer has a limited number of URL slots. Your deployment can come up healthy but never receive a public web URL (the link returns NXDOMAIN). This is a platform capacity issue, not a broken deploy. The Slack path does not use a URL slot and works on every deployment, so treat Slack as the primary surface and the web UI as a bonus if your URL provisions.\n\n### First-run data\n\nPick one of three on the deploy form:\n\n1. Nothing (default): users paste their own Greenhouse Harvest key (`setkey greenhouse ` in a Slack DM, or the web Settings page) and rank their real pipeline.\n2. `GREENHOUSE_MOCK_URL`: point Greenhouse calls at a Postman mock for demos.\n3. `USE_SAMPLE_DATA=true`: zero-Greenhouse demo mode; ranking runs against 15 bundled sample candidates.\n\nIn every case each user sets their own Anthropic key: `setkey anthropic sk-ant-...` in a Slack DM, or the web Settings page.\n\n## Using it from Slack (no web UI needed)\n\nDM the bot after install. Your account is created automatically from your Slack email.\n\n| Command | What it does |\n|---|---|\n| `help` | Command list |\n| `whoami` | Your account + which keys are set |\n| `setkey ` | DM only. Store your BYOK key: anthropic, greenhouse, pdl, gem, gnews |\n| `list jobs` | Open requisitions |\n| `rank ` | Ranked shortlist with reasoning, streamed progress |\n| `feedback [comment]` | Thumbs on your latest shortlist; trains your rubric |\n| `draft [hook]` | Claude-drafted outreach email for a shortlisted candidate |\n\n## Architecture\n\n- FastAPI agent on Astro AI: web UI on port 80, plus the messaging sidecar for Slack\n- Managed Postgres for canonical state, auto-provisioned per deployment\n- In-process NetworkX context graph (swappable to a managed graph store post-launch)\n- Anthropic Claude (Sonnet for reasoning, Haiku for cheaper passes)\n- Postman API Catalog publish + Postman mocks/monitors for the integration plane\n\n## User model\n\nSign in with email and password on the web, or just DM the bot on Slack; identity unifies by email across both surfaces. Per-user credentials are Fernet-encrypted at rest. Every user brings their own Anthropic and Greenhouse keys, so costs land on the right account.\n",[1400,1401,1402,1403,1404,1405,1406],{"_172":184,"_16":185,"_175":33},{"_172":182,"_16":183,"_175":33},{"_172":180,"_16":181,"_175":33},{"_172":178,"_16":179,"_175":33},{"_172":176,"_16":177,"_175":33},{"_172":1409,"_16":1410,"_175":33},{"_172":1407,"_16":1408,"_175":33},"slack (optional, deployer-supplied app tokens)","Slack (optional, deployer-supplied app tokens)","anthropic claude (user-supplied, byok)","Anthropic Claude (user-supplied, BYOK)",{"_214":1419,"_216":1420,"_218":1421,"_208":1422},{"_208":1415},{"_205":1414},{"_201":207},{"_210":1416,"_221":1417},{"_212":213},{"_1289":1418},[1291],{"_233":234,"_235":236,"_237":238,"_239":240},"registry.astropods.ai/nitinlodha/recruiter-agent:3166b8e9",[1423,1424,1425,1426,1427,1428,1429],{"_210":27,"_221":27},{"_225":226,"_880":881,"_158":959,"_16":230,"_907":27},{"_225":226,"_880":881,"_158":958,"_16":228,"_907":27},{"_225":226,"_880":881,"_158":626,"_16":627,"_907":27},{"_225":226,"_880":881,"_158":1014,"_16":232,"_907":27},{"_225":226,"_880":881,"_158":1012,"_16":1013,"_907":27},{"_225":226,"_880":881,"_158":1430,"_16":1431,"_907":27},{"_225":226,"_880":881,"_158":1184,"_16":1185,"_907":27},"(optional) Set to \"true\" to rank against bundled sample candidates with no Greenhouse account needed. Users still bring their own Anthropic key. Leave empty for real or mocked Greenhouse data.","USE_SAMPLE_DATA","c30aae69",{"_9":1445,"_191":1446,"_193":1447,"_150":197},{"_158":159,"_160":1436,"_162":1398,"_164":1437},"2026-06-10T18:15:14Z",[186,187,188,189],[1438,1439,1440,1441,1442,1443,1444],{"_172":184,"_16":185,"_175":33},{"_172":182,"_16":183,"_175":33},{"_172":180,"_16":181,"_175":33},{"_172":178,"_16":179,"_175":33},{"_172":176,"_16":177,"_175":33},{"_172":1409,"_16":1410,"_175":33},{"_172":1407,"_16":1408,"_175":33},{"_214":1453,"_216":1454,"_218":1455,"_208":1456},{"_208":1449},{"_205":1448},{"_201":207},{"_210":1450,"_221":1451},{"_212":213},{"_1289":1452},[1291],{"_233":234,"_235":236,"_237":238,"_239":240},"registry.astropods.ai/nitinlodha/recruiter-agent:c30aae69",[1457,1458,1459,1460,1461,1462,1463],{"_210":27,"_221":27},{"_225":226,"_880":881,"_158":959,"_16":230,"_907":27},{"_225":226,"_880":881,"_158":958,"_16":228,"_907":27},{"_225":226,"_880":881,"_158":626,"_16":627,"_907":27},{"_225":226,"_880":881,"_158":1014,"_16":232,"_907":27},{"_225":226,"_880":881,"_158":1012,"_16":1013,"_907":27},{"_225":226,"_880":881,"_158":1430,"_16":1431,"_907":27},{"_225":226,"_880":881,"_158":1184,"_16":1185,"_907":27},"a621012c",{"_9":1477,"_191":1478,"_193":1479,"_150":197},{"_158":159,"_160":1468,"_162":1398,"_164":1469},"2026-06-10T18:18:35Z",[186,187,188,189],[1470,1471,1472,1473,1474,1475,1476],{"_172":184,"_16":185,"_175":33},{"_172":182,"_16":183,"_175":33},{"_172":180,"_16":181,"_175":33},{"_172":178,"_16":179,"_175":33},{"_172":176,"_16":177,"_175":33},{"_172":1409,"_16":1410,"_175":33},{"_172":1407,"_16":1408,"_175":33},{"_214":1485,"_216":1486,"_218":1487,"_208":1488},{"_208":1481},{"_205":1480},{"_201":207},{"_210":1482,"_221":1483},{"_212":213},{"_1289":1484},[1291],{"_233":234,"_235":236,"_237":238,"_239":240},"registry.astropods.ai/nitinlodha/recruiter-agent:a621012c",[1489,1490,1491,1492,1493,1494,1495],{"_210":27,"_221":27},{"_225":226,"_880":881,"_158":959,"_16":230,"_907":27},{"_225":226,"_880":881,"_158":958,"_16":228,"_907":27},{"_225":226,"_880":881,"_158":626,"_16":627,"_907":27},{"_225":226,"_880":881,"_158":1014,"_16":232,"_907":27},{"_225":226,"_880":881,"_158":1012,"_16":1013,"_907":27},{"_225":226,"_880":881,"_158":1430,"_16":1431,"_907":27},{"_225":226,"_880":881,"_158":1184,"_16":1185,"_907":27},"15b9aa57",{"_9":1511,"_191":1512,"_193":1513,"_150":197},"---\nname: Recruiter Agent\ndescription: An intelligent recruiting copilot. Sign in, connect your Greenhouse (and optionally PDL / Gem), and the agent ranks your pipeline against any open req with multi-feature scoring, second-pass critic review, and network-aware reasoning. Comments on each candidate card feed back into the next ranking; rejection reasons from Greenhouse tune the rubric automatically.\ntags:\n - recruiting\n - hr\n - ranking\n - postman\nintegrations:\n - Greenhouse Harvest (user-supplied API key)\n - People Data Labs (optional, user-supplied)\n - Gem (optional, user-supplied)\n - GNews (optional, user-supplied)\n - Google Gmail + Calendar (optional, user-supplied OAuth)\n - Anthropic Claude (user-supplied, BYOK)\n - Slack (optional, deployer-supplied app tokens)\nvisibility: public\n---\n\n# Recruiter Agent\n\n## What it does\n\nGiven an open requisition, the agent pulls candidates from every source the user has connected, scores them on a thirteen-feature rubric, runs AI reasoning per candidate, applies a second-pass critic review, and returns the top thirty with concrete reasoning and \"network context\" observations the way a senior recruiter would frame them.\n\nThe agent learns continuously from three signals:\n\n- Thumbs feedback per card (numeric rubric weight updates), from the web UI or the Slack `feedback` command\n- Free-text comments per card (injected verbatim into the next ranking's reasoning prompt)\n- Greenhouse rejection reasons (mapped to feature impact via `intelligence/rejection_signal.py`)\n\n## Deploy your own copy\n\nEvery deployment is fully isolated: its own managed Postgres, its own auto-generated encryption secrets, its own users. You do not share data with any other deployment of this blueprint. Nothing needs to be pasted at deploy time; the agent generates and persists its platform secrets on first boot.\n\n```bash\n# 1. Install the CLI and sign in\ncurl -fsSL https://astropods.com/install | sh\nast login\n\n# 2. Deploy straight from the public catalog\nast deploy recruiter-agent --adapter slack --adapter web --wait\n```\n\nFor Slack, create your own Slack app in your workspace first: import `doc/slack-app-manifest.json` at https://api.slack.com/apps (Create New App, then \"From an app manifest\"), install it to the workspace, and paste the two tokens (`xapp-...` app token, `xoxb-...` bot token) when the deploy form asks for them.\n\n### Heads up: your web URL may not provision\n\nThe platform's shared load balancer has a limited number of URL slots. Your deployment can come up healthy but never receive a public web URL (the link returns NXDOMAIN). This is a platform capacity issue, not a broken deploy. The Slack path does not use a URL slot and works on every deployment, so treat Slack as the primary surface and the web UI as a bonus if your URL provisions.\n\n### First-run data\n\nPick one of three on the deploy form:\n\n1. Nothing (default): users paste their own Greenhouse Harvest key (`setkey greenhouse ` in a Slack DM, or the web Settings page) and rank their real pipeline.\n2. `GREENHOUSE_MOCK_URL`: point Greenhouse calls at a Postman mock for demos.\n3. `USE_SAMPLE_DATA=true`: zero-Greenhouse demo mode; ranking runs against 15 bundled sample candidates.\n\nIn every case each user sets their own Anthropic key: `setkey anthropic sk-ant-...` in a Slack DM, or the web Settings page.\n\n## Using it from Slack (no web UI needed)\n\nDM the bot after install. Your account is created automatically from your Slack email.\n\n| Command | What it does |\n|---|---|\n| `help` | Command list |\n| `whoami` | Your account + which keys are set |\n| `setkey ` | DM only. Store your BYOK key: anthropic, greenhouse, pdl, gem, gnews |\n| `list jobs` | Open requisitions |\n| `rank ` | Ranked shortlist with reasoning, streamed progress |\n| `similar [count]` | Candidates from your pool with a similar background (semantic search) |\n| `feedback [comment]` | Thumbs on your latest shortlist; trains your rubric |\n| `draft [hook]` | Claude-drafted outreach email for a shortlisted candidate |\n\n## Architecture\n\n- FastAPI agent on Astro AI: web UI on port 80, plus the messaging sidecar for Slack\n- Managed Postgres for canonical state, auto-provisioned per deployment\n- Managed Qdrant + gateway embeddings for semantic candidate search (\"more like X\"), embeddings-only gateway usage so chat costs stay BYOK\n- In-process NetworkX context graph (swappable to a managed graph store post-launch)\n- Anthropic Claude (Sonnet for reasoning, Haiku for cheaper passes)\n- Postman API Catalog publish + Postman mocks/monitors for the integration plane\n\n## User model\n\nSign in with email and password on the web, or just DM the bot on Slack; identity unifies by email across both surfaces. Per-user credentials are Fernet-encrypted at rest. Every user brings their own Anthropic and Greenhouse keys, so costs land on the right account.\n",{"_158":159,"_160":1501,"_162":1502,"_164":1503},"2026-06-10T19:27:28Z",[186,187,188,189],"\n# Recruiter Agent\n\n## What it does\n\nGiven an open requisition, the agent pulls candidates from every source the user has connected, scores them on a thirteen-feature rubric, runs AI reasoning per candidate, applies a second-pass critic review, and returns the top thirty with concrete reasoning and \"network context\" observations the way a senior recruiter would frame them.\n\nThe agent learns continuously from three signals:\n\n- Thumbs feedback per card (numeric rubric weight updates), from the web UI or the Slack `feedback` command\n- Free-text comments per card (injected verbatim into the next ranking's reasoning prompt)\n- Greenhouse rejection reasons (mapped to feature impact via `intelligence/rejection_signal.py`)\n\n## Deploy your own copy\n\nEvery deployment is fully isolated: its own managed Postgres, its own auto-generated encryption secrets, its own users. You do not share data with any other deployment of this blueprint. Nothing needs to be pasted at deploy time; the agent generates and persists its platform secrets on first boot.\n\n```bash\n# 1. Install the CLI and sign in\ncurl -fsSL https://astropods.com/install | sh\nast login\n\n# 2. Deploy straight from the public catalog\nast deploy recruiter-agent --adapter slack --adapter web --wait\n```\n\nFor Slack, create your own Slack app in your workspace first: import `doc/slack-app-manifest.json` at https://api.slack.com/apps (Create New App, then \"From an app manifest\"), install it to the workspace, and paste the two tokens (`xapp-...` app token, `xoxb-...` bot token) when the deploy form asks for them.\n\n### Heads up: your web URL may not provision\n\nThe platform's shared load balancer has a limited number of URL slots. Your deployment can come up healthy but never receive a public web URL (the link returns NXDOMAIN). This is a platform capacity issue, not a broken deploy. The Slack path does not use a URL slot and works on every deployment, so treat Slack as the primary surface and the web UI as a bonus if your URL provisions.\n\n### First-run data\n\nPick one of three on the deploy form:\n\n1. Nothing (default): users paste their own Greenhouse Harvest key (`setkey greenhouse ` in a Slack DM, or the web Settings page) and rank their real pipeline.\n2. `GREENHOUSE_MOCK_URL`: point Greenhouse calls at a Postman mock for demos.\n3. `USE_SAMPLE_DATA=true`: zero-Greenhouse demo mode; ranking runs against 15 bundled sample candidates.\n\nIn every case each user sets their own Anthropic key: `setkey anthropic sk-ant-...` in a Slack DM, or the web Settings page.\n\n## Using it from Slack (no web UI needed)\n\nDM the bot after install. Your account is created automatically from your Slack email.\n\n| Command | What it does |\n|---|---|\n| `help` | Command list |\n| `whoami` | Your account + which keys are set |\n| `setkey ` | DM only. Store your BYOK key: anthropic, greenhouse, pdl, gem, gnews |\n| `list jobs` | Open requisitions |\n| `rank ` | Ranked shortlist with reasoning, streamed progress |\n| `similar [count]` | Candidates from your pool with a similar background (semantic search) |\n| `feedback [comment]` | Thumbs on your latest shortlist; trains your rubric |\n| `draft [hook]` | Claude-drafted outreach email for a shortlisted candidate |\n\n## Architecture\n\n- FastAPI agent on Astro AI: web UI on port 80, plus the messaging sidecar for Slack\n- Managed Postgres for canonical state, auto-provisioned per deployment\n- Managed Qdrant + gateway embeddings for semantic candidate search (\"more like X\"), embeddings-only gateway usage so chat costs stay BYOK\n- In-process NetworkX context graph (swappable to a managed graph store post-launch)\n- Anthropic Claude (Sonnet for reasoning, Haiku for cheaper passes)\n- Postman API Catalog publish + Postman mocks/monitors for the integration plane\n\n## User model\n\nSign in with email and password on the web, or just DM the bot on Slack; identity unifies by email across both surfaces. Per-user credentials are Fernet-encrypted at rest. Every user brings their own Anthropic and Greenhouse keys, so costs land on the right account.\n",[1504,1505,1506,1507,1508,1509,1510],{"_172":184,"_16":185,"_175":33},{"_172":182,"_16":183,"_175":33},{"_172":180,"_16":181,"_175":33},{"_172":178,"_16":179,"_175":33},{"_172":176,"_16":177,"_175":33},{"_172":1409,"_16":1410,"_175":33},{"_172":1407,"_16":1408,"_175":33},{"_1522":27,"_214":1523,"_216":1524,"_218":1525,"_208":1526},{"_208":1518},{"_205":1514,"_1515":1516},{"_201":207},"vectors",{"_201":1517},"qdrant",{"_210":1519,"_221":1520},{"_212":213},{"_1289":1521},[1291],"astro_ai_gateway",{"_233":234,"_235":236,"_237":238,"_239":240},"registry.astropods.ai/nitinlodha/recruiter-agent:15b9aa57",[1527,1528,1529,1530,1531,1532,1533],{"_210":27,"_221":27},{"_225":226,"_880":881,"_158":959,"_16":230,"_907":27},{"_225":226,"_880":881,"_158":958,"_16":228,"_907":27},{"_225":226,"_880":881,"_158":626,"_16":627,"_907":27},{"_225":226,"_880":881,"_158":1014,"_16":232,"_907":27},{"_225":226,"_880":881,"_158":1012,"_16":1013,"_907":27},{"_225":226,"_880":881,"_158":1430,"_16":1431,"_907":27},{"_225":226,"_880":881,"_158":1184,"_16":1185,"_907":27},"917e2191",{"_9":1547,"_191":1548,"_193":1549,"_150":197},{"_158":159,"_160":1538,"_162":1502,"_164":1539},"2026-06-17T18:55:28Z",[186,187,188,189],[1540,1541,1542,1543,1544,1545,1546],{"_172":184,"_16":185,"_175":33},{"_172":182,"_16":183,"_175":33},{"_172":180,"_16":181,"_175":33},{"_172":178,"_16":179,"_175":33},{"_172":176,"_16":177,"_175":33},{"_172":1409,"_16":1410,"_175":33},{"_172":1407,"_16":1408,"_175":33},{"_1522":27,"_214":1556,"_216":1557,"_218":1558,"_208":1559},{"_208":1552},{"_205":1550,"_1515":1551},{"_201":207},{"_201":1517},{"_210":1553,"_221":1554},{"_212":213},{"_1289":1555},[1291],{"_233":234,"_235":236,"_237":238,"_239":240},"registry.astropods.ai/nitinlodha/recruiter-agent:917e2191",[1560,1561,1562,1563,1564,1565,1566],{"_210":27,"_221":27},{"_225":226,"_880":881,"_158":959,"_16":230,"_907":27},{"_225":226,"_880":881,"_158":958,"_16":228,"_907":27},{"_225":226,"_880":881,"_158":626,"_16":627,"_907":27},{"_225":226,"_880":881,"_158":1014,"_16":232,"_907":27},{"_225":226,"_880":881,"_158":1012,"_16":1013,"_907":27},{"_225":226,"_880":881,"_158":1430,"_16":1431,"_907":27},{"_225":226,"_880":881,"_158":1184,"_16":1185,"_907":27},"f20b797b",{"_9":1582,"_191":1583,"_193":1584,"_150":197},"---\nname: Recruiter Agent\ndescription: An intelligent recruiting copilot. Sign in, connect your Greenhouse (and optionally PDL / Gem), and the agent ranks your pipeline against any open req with multi-feature scoring, second-pass critic review, and network-aware reasoning. Comments on each candidate card feed back into the next ranking; rejection reasons from Greenhouse tune the rubric automatically.\ntags:\n - recruiting\n - hr\n - ranking\n - postman\nintegrations:\n - Greenhouse Harvest (user-supplied API key)\n - People Data Labs (optional, user-supplied)\n - Gem (optional, user-supplied)\n - GNews (optional, user-supplied)\n - Google Gmail + Calendar (optional, user-supplied OAuth)\n - Anthropic Claude (user-supplied, BYOK)\n - Slack (optional, deployer-supplied app tokens)\nvisibility: public\n---\n\n# Recruiter Agent\n\n## What it does\n\nGiven an open requisition, the agent pulls candidates from every source the user has connected, scores them on a thirteen-feature rubric, runs AI reasoning per candidate, applies a second-pass critic review, and returns the top thirty with concrete reasoning and \"network context\" observations the way a senior recruiter would frame them.\n\nThe agent learns continuously from three signals:\n\n- Thumbs feedback per card (numeric rubric weight updates), from the web UI or the Slack `feedback` command\n- Free-text comments per card (injected verbatim into the next ranking's reasoning prompt)\n- Greenhouse rejection reasons (mapped to feature impact via `intelligence/rejection_signal.py`)\n\n## Deploy your own copy\n\nEvery deployment is fully isolated: its own managed Postgres, its own auto-generated encryption secrets, its own users. You do not share data with any other deployment of this blueprint. Nothing needs to be pasted at deploy time; the agent generates and persists its platform secrets on first boot.\n\n```bash\n# 1. Install the CLI and sign in\ncurl -fsSL https://astropods.com/install | sh\nast login\n\n# 2. Deploy straight from the public catalog\nast deploy recruiter-agent --adapter slack --adapter web --wait\n```\n\nFor Slack, create your own Slack app in your workspace first: at https://api.slack.com/apps choose Create New App, then \"From an app manifest\", and paste the manifest below. Then install it to the workspace and paste the two tokens (`xapp-...` app token, `xoxb-...` bot token) when the deploy form asks for them.\n\nSlack app manifest (copy this; it is the same file as `doc/slack-app-manifest.json` in the source repo, reproduced here so you do not need repo access):\n\n```json\n{\n \"display_information\": {\n \"name\": \"Recruiter Agent\",\n \"description\": \"Candidate ranking copilot: shortlist any Greenhouse req, give feedback, draft outreach, all from Slack.\",\n \"background_color\": \"#10233F\"\n },\n \"features\": {\n \"app_home\": { \"messages_tab_enabled\": true, \"messages_tab_read_only_enabled\": false },\n \"bot_user\": { \"display_name\": \"recruiter-agent\", \"always_online\": true }\n },\n \"oauth_config\": {\n \"scopes\": {\n \"bot\": [\n \"app_mentions:read\", \"chat:write\", \"commands\",\n \"im:history\", \"im:read\", \"im:write\",\n \"users:read\", \"users:read.email\"\n ]\n }\n },\n \"settings\": {\n \"event_subscriptions\": { \"bot_events\": [\"app_mention\", \"message.im\"] },\n \"interactivity\": { \"is_enabled\": false },\n \"org_deploy_enabled\": false,\n \"socket_mode_enabled\": true,\n \"token_rotation_enabled\": false\n }\n}\n```\n\nOnce installed, the running agent also serves this manifest at `GET /slack-app-manifest.json` on its own URL, so you can download it directly from your deployment.\n\n### Heads up: your web URL may not provision\n\nThe platform's shared load balancer has a limited number of URL slots. Your deployment can come up healthy but never receive a public web URL (the link returns NXDOMAIN). This is a platform capacity issue, not a broken deploy. The Slack path does not use a URL slot and works on every deployment, so treat Slack as the primary surface and the web UI as a bonus if your URL provisions.\n\n### First-run data\n\nPick one of three on the deploy form:\n\n1. Nothing (default): users paste their own Greenhouse Harvest key (`setkey greenhouse ` in a Slack DM, or the web Settings page) and rank their real pipeline.\n2. `GREENHOUSE_MOCK_URL`: point Greenhouse calls at a Postman mock for demos.\n3. `USE_SAMPLE_DATA=true`: zero-Greenhouse demo mode; ranking runs against 15 bundled sample candidates.\n\nIn every case each user sets their own Anthropic key: `setkey anthropic sk-ant-...` in a Slack DM, or the web Settings page.\n\n## Using it from Slack (no web UI needed)\n\nDM the bot after install. Your account is created automatically from your Slack email.\n\n| Command | What it does |\n|---|---|\n| `help` | Command list |\n| `whoami` | Your account + which keys are set |\n| `setkey ` | DM only. Store your BYOK key: anthropic, greenhouse, pdl, gem, gnews |\n| `list jobs` | Open requisitions |\n| `rank ` | Ranked shortlist with reasoning, streamed progress |\n| `similar [count]` | Candidates from your pool with a similar background (semantic search) |\n| `feedback [comment]` | Thumbs on your latest shortlist; trains your rubric |\n| `draft [hook]` | Claude-drafted outreach email for a shortlisted candidate |\n\n## Architecture\n\n- FastAPI agent on Astro AI: web UI on port 80, plus the messaging sidecar for Slack\n- Managed Postgres for canonical state, auto-provisioned per deployment\n- Managed Qdrant + gateway embeddings for semantic candidate search (\"more like X\"), embeddings-only gateway usage so chat costs stay BYOK\n- In-process NetworkX context graph (swappable to a managed graph store post-launch)\n- Anthropic Claude (Sonnet for reasoning, Haiku for cheaper passes)\n- Postman API Catalog publish + Postman mocks/monitors for the integration plane\n\n## User model\n\nSign in with email and password on the web, or just DM the bot on Slack; identity unifies by email across both surfaces. Per-user credentials are Fernet-encrypted at rest. Every user brings their own Anthropic and Greenhouse keys, so costs land on the right account.\n",{"_158":159,"_160":1572,"_162":1573,"_164":1574},"2026-06-18T17:11:14Z",[186,187,188,189],"\n# Recruiter Agent\n\n## What it does\n\nGiven an open requisition, the agent pulls candidates from every source the user has connected, scores them on a thirteen-feature rubric, runs AI reasoning per candidate, applies a second-pass critic review, and returns the top thirty with concrete reasoning and \"network context\" observations the way a senior recruiter would frame them.\n\nThe agent learns continuously from three signals:\n\n- Thumbs feedback per card (numeric rubric weight updates), from the web UI or the Slack `feedback` command\n- Free-text comments per card (injected verbatim into the next ranking's reasoning prompt)\n- Greenhouse rejection reasons (mapped to feature impact via `intelligence/rejection_signal.py`)\n\n## Deploy your own copy\n\nEvery deployment is fully isolated: its own managed Postgres, its own auto-generated encryption secrets, its own users. You do not share data with any other deployment of this blueprint. Nothing needs to be pasted at deploy time; the agent generates and persists its platform secrets on first boot.\n\n```bash\n# 1. Install the CLI and sign in\ncurl -fsSL https://astropods.com/install | sh\nast login\n\n# 2. Deploy straight from the public catalog\nast deploy recruiter-agent --adapter slack --adapter web --wait\n```\n\nFor Slack, create your own Slack app in your workspace first: at https://api.slack.com/apps choose Create New App, then \"From an app manifest\", and paste the manifest below. Then install it to the workspace and paste the two tokens (`xapp-...` app token, `xoxb-...` bot token) when the deploy form asks for them.\n\nSlack app manifest (copy this; it is the same file as `doc/slack-app-manifest.json` in the source repo, reproduced here so you do not need repo access):\n\n```json\n{\n \"display_information\": {\n \"name\": \"Recruiter Agent\",\n \"description\": \"Candidate ranking copilot: shortlist any Greenhouse req, give feedback, draft outreach, all from Slack.\",\n \"background_color\": \"#10233F\"\n },\n \"features\": {\n \"app_home\": { \"messages_tab_enabled\": true, \"messages_tab_read_only_enabled\": false },\n \"bot_user\": { \"display_name\": \"recruiter-agent\", \"always_online\": true }\n },\n \"oauth_config\": {\n \"scopes\": {\n \"bot\": [\n \"app_mentions:read\", \"chat:write\", \"commands\",\n \"im:history\", \"im:read\", \"im:write\",\n \"users:read\", \"users:read.email\"\n ]\n }\n },\n \"settings\": {\n \"event_subscriptions\": { \"bot_events\": [\"app_mention\", \"message.im\"] },\n \"interactivity\": { \"is_enabled\": false },\n \"org_deploy_enabled\": false,\n \"socket_mode_enabled\": true,\n \"token_rotation_enabled\": false\n }\n}\n```\n\nOnce installed, the running agent also serves this manifest at `GET /slack-app-manifest.json` on its own URL, so you can download it directly from your deployment.\n\n### Heads up: your web URL may not provision\n\nThe platform's shared load balancer has a limited number of URL slots. Your deployment can come up healthy but never receive a public web URL (the link returns NXDOMAIN). This is a platform capacity issue, not a broken deploy. The Slack path does not use a URL slot and works on every deployment, so treat Slack as the primary surface and the web UI as a bonus if your URL provisions.\n\n### First-run data\n\nPick one of three on the deploy form:\n\n1. Nothing (default): users paste their own Greenhouse Harvest key (`setkey greenhouse ` in a Slack DM, or the web Settings page) and rank their real pipeline.\n2. `GREENHOUSE_MOCK_URL`: point Greenhouse calls at a Postman mock for demos.\n3. `USE_SAMPLE_DATA=true`: zero-Greenhouse demo mode; ranking runs against 15 bundled sample candidates.\n\nIn every case each user sets their own Anthropic key: `setkey anthropic sk-ant-...` in a Slack DM, or the web Settings page.\n\n## Using it from Slack (no web UI needed)\n\nDM the bot after install. Your account is created automatically from your Slack email.\n\n| Command | What it does |\n|---|---|\n| `help` | Command list |\n| `whoami` | Your account + which keys are set |\n| `setkey ` | DM only. Store your BYOK key: anthropic, greenhouse, pdl, gem, gnews |\n| `list jobs` | Open requisitions |\n| `rank ` | Ranked shortlist with reasoning, streamed progress |\n| `similar [count]` | Candidates from your pool with a similar background (semantic search) |\n| `feedback [comment]` | Thumbs on your latest shortlist; trains your rubric |\n| `draft [hook]` | Claude-drafted outreach email for a shortlisted candidate |\n\n## Architecture\n\n- FastAPI agent on Astro AI: web UI on port 80, plus the messaging sidecar for Slack\n- Managed Postgres for canonical state, auto-provisioned per deployment\n- Managed Qdrant + gateway embeddings for semantic candidate search (\"more like X\"), embeddings-only gateway usage so chat costs stay BYOK\n- In-process NetworkX context graph (swappable to a managed graph store post-launch)\n- Anthropic Claude (Sonnet for reasoning, Haiku for cheaper passes)\n- Postman API Catalog publish + Postman mocks/monitors for the integration plane\n\n## User model\n\nSign in with email and password on the web, or just DM the bot on Slack; identity unifies by email across both surfaces. Per-user credentials are Fernet-encrypted at rest. Every user brings their own Anthropic and Greenhouse keys, so costs land on the right 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158":959,"_16":230,"_907":27},{"_225":226,"_880":881,"_158":958,"_16":228,"_907":27},{"_225":226,"_880":881,"_158":626,"_16":627,"_907":27},{"_225":226,"_880":881,"_158":1014,"_16":232,"_907":27},{"_225":226,"_880":881,"_158":1012,"_16":1013,"_907":27},{"_225":226,"_880":881,"_158":1430,"_16":1431,"_907":27},{"_225":226,"_880":881,"_158":1184,"_16":1185,"_907":27},"0893b61e",{"_9":1881,"_191":1882,"_193":1883,"_150":197},"---\nname: Recruiter Agent\ndescription: An intelligent recruiting copilot. Sign in, connect your Greenhouse (and optionally PDL / Gem), and the agent ranks your pipeline against any open req with multi-feature scoring, second-pass critic review, and network-aware reasoning. Comments on each candidate card feed back into the next ranking; rejection reasons from Greenhouse tune the rubric automatically.\ntags:\n - recruiting\n - hr\n - ranking\n - postman\nintegrations:\n - Greenhouse Harvest (user-supplied API key)\n - People Data Labs (optional, user-supplied)\n - Gem (optional, user-supplied)\n - GNews (optional, user-supplied)\n - Google Gmail + Calendar (optional, user-supplied OAuth)\n - Anthropic Claude (user-supplied, BYOK)\n - Slack (optional, deployer-supplied app tokens)\nvisibility: public\n---\n\n# Recruiter Agent\n\n## What it does\n\nGiven an open requisition, the agent pulls candidates from every source the user has connected, scores them on a thirteen-feature rubric, runs AI reasoning per candidate, applies a second-pass critic review, and returns the top thirty with concrete reasoning and \"network context\" observations the way a senior recruiter would frame them.\n\nIt works two ways. **Applicant ranking** scores the people who applied to a req. **Whole-database sourcing** (\"source the best candidates across all of greenhouse for a CTO\") ranks the entire candidate database, applicants or not: every candidate is embedded into a persistent, incrementally-refreshed Qdrant index (built in the background, pre-warmed on session start), the whole index is ranked by similarity to the role, and the top matches get the full Claude deep-scoring pass. The rubric weights adapt to each specific role, derived per-JD on top of the learned per-archetype baseline, so a CTO and a CFO are scored differently.\n\nThe agent learns continuously from three signals:\n\n- Thumbs feedback per card (numeric rubric weight updates), from the web UI or the Slack `feedback` command\n- Free-text comments per card (injected verbatim into the next ranking's reasoning prompt)\n- Greenhouse rejection reasons (mapped to feature impact via `intelligence/rejection_signal.py`)\n\n## Deploy your own copy\n\nEvery deployment is fully isolated: its own managed Postgres, its own auto-generated encryption secrets, its own users. You do not share data with any other deployment of this blueprint. Nothing needs to be pasted at deploy time; the agent generates and persists its platform secrets on first boot.\n\n```bash\n# 1. Install the CLI and sign in\ncurl -fsSL https://astropods.com/install | sh\nast login\n\n# 2. Deploy straight from the public catalog\nast deploy recruiter-agent --adapter slack --adapter web --wait\n```\n\nFor Slack, create your own Slack app in your workspace first: at https://api.slack.com/apps choose Create New App, then \"From an app manifest\", and paste the manifest below. Then install it to the workspace and paste the two tokens (`xapp-...` app token, `xoxb-...` bot token) when the deploy form asks for them.\n\nSlack app manifest (copy this; it is the same file as `doc/slack-app-manifest.json` in the source repo, reproduced here so you do not need repo access):\n\n```json\n{\n \"display_information\": {\n \"name\": \"Recruiter Agent\",\n \"description\": \"Candidate ranking copilot: shortlist any Greenhouse req, give feedback, draft outreach, all from Slack.\",\n \"background_color\": \"#10233F\"\n },\n \"features\": {\n \"app_home\": { \"messages_tab_enabled\": true, \"messages_tab_read_only_enabled\": false },\n \"bot_user\": { \"display_name\": \"recruiter-agent\", \"always_online\": true }\n },\n \"oauth_config\": {\n \"scopes\": {\n \"bot\": [\n \"app_mentions:read\", \"chat:write\", \"commands\",\n \"im:history\", \"im:read\", \"im:write\",\n \"users:read\", \"users:read.email\"\n ]\n }\n },\n \"settings\": {\n \"event_subscriptions\": { \"bot_events\": [\"app_mention\", \"message.im\"] },\n \"interactivity\": { \"is_enabled\": false },\n \"org_deploy_enabled\": false,\n \"socket_mode_enabled\": true,\n \"token_rotation_enabled\": false\n }\n}\n```\n\nOnce installed, the running agent also serves this manifest at `GET /slack-app-manifest.json` on its own URL, so you can download it directly from your deployment.\n\n### Heads up: your web URL may not provision\n\nThe platform's shared load balancer has a limited number of URL slots. Your deployment can come up healthy but never receive a public web URL (the link returns NXDOMAIN). This is a platform capacity issue, not a broken deploy. The Slack path does not use a URL slot and works on every deployment, so treat Slack as the primary surface and the web UI as a bonus if your URL provisions.\n\n### First-run data\n\nPick one of three on the deploy form:\n\n1. Nothing (default): users paste their own Greenhouse Harvest key (`setkey greenhouse ` in a Slack DM, or the web Settings page) and rank their real pipeline.\n2. `GREENHOUSE_MOCK_URL`: point Greenhouse calls at a Postman mock for demos.\n3. `USE_SAMPLE_DATA=true`: zero-Greenhouse demo mode; ranking runs against 15 bundled sample candidates.\n\nIn every case each user sets their own Anthropic key: `setkey anthropic sk-ant-...` in a Slack DM, or the web Settings page.\n\n## Using it from Slack (no web UI needed)\n\nDM the bot after install. Your account is created automatically from your Slack email.\n\n| Command | What it does |\n|---|---|\n| `help` | Command list |\n| `whoami` | Your account + which keys are set |\n| `setkey ` | DM only. Store your BYOK key: anthropic, greenhouse, pdl, gem, gnews |\n| `list jobs` | Open requisitions |\n| `rank ` | Ranked shortlist with reasoning, streamed progress |\n| `similar [count]` | Candidates from your pool with a similar background (semantic search) |\n| `feedback [comment]` | Thumbs on your latest shortlist; trains your rubric |\n| `draft [hook]` | Claude-drafted outreach email for a shortlisted candidate |\n\n## Architecture\n\n- FastAPI agent on Astro AI: web UI on port 80, plus the messaging sidecar for Slack\n- Managed Postgres for canonical state, auto-provisioned per deployment\n- Managed Qdrant + gateway embeddings for semantic candidate search (\"more like X\"), embeddings-only gateway usage so chat costs stay BYOK\n- In-process NetworkX context graph (swappable to a managed graph store post-launch)\n- Anthropic Claude (Sonnet for reasoning, Haiku for cheaper passes)\n- Postman API Catalog publish + Postman mocks/monitors for the integration plane\n\n## User model\n\nSign in with email and password on the web, or just DM the bot on Slack; identity unifies by email across both surfaces. Per-user credentials are Fernet-encrypted at rest. Every user brings their own Anthropic and Greenhouse keys, so costs land on the right account.\n",{"_158":159,"_160":1871,"_162":1872,"_164":1873},"2026-06-29T20:57:14Z",[186,187,188,189],"\n# Recruiter Agent\n\n## What it does\n\nGiven an open requisition, the agent pulls candidates from every source the user has connected, scores them on a thirteen-feature rubric, runs AI reasoning per candidate, applies a second-pass critic review, and returns the top thirty with concrete reasoning and \"network context\" observations the way a senior recruiter would frame them.\n\nIt works two ways. **Applicant ranking** scores the people who applied to a req. **Whole-database sourcing** (\"source the best candidates across all of greenhouse for a CTO\") ranks the entire candidate database, applicants or not: every candidate is embedded into a persistent, incrementally-refreshed Qdrant index (built in the background, pre-warmed on session start), the whole index is ranked by similarity to the role, and the top matches get the full Claude deep-scoring pass. The rubric weights adapt to each specific role, derived per-JD on top of the learned per-archetype baseline, so a CTO and a CFO are scored differently.\n\nThe agent learns continuously from three signals:\n\n- Thumbs feedback per card (numeric rubric weight updates), from the web UI or the Slack `feedback` command\n- Free-text comments per card (injected verbatim into the next ranking's reasoning prompt)\n- Greenhouse rejection reasons (mapped to feature impact via `intelligence/rejection_signal.py`)\n\n## Deploy your own copy\n\nEvery deployment is fully isolated: its own managed Postgres, its own auto-generated encryption secrets, its own users. You do not share data with any other deployment of this blueprint. Nothing needs to be pasted at deploy time; the agent generates and persists its platform secrets on first boot.\n\n```bash\n# 1. Install the CLI and sign in\ncurl -fsSL https://astropods.com/install | sh\nast login\n\n# 2. Deploy straight from the public catalog\nast deploy recruiter-agent --adapter slack --adapter web --wait\n```\n\nFor Slack, create your own Slack app in your workspace first: at https://api.slack.com/apps choose Create New App, then \"From an app manifest\", and paste the manifest below. Then install it to the workspace and paste the two tokens (`xapp-...` app token, `xoxb-...` bot token) when the deploy form asks for them.\n\nSlack app manifest (copy this; it is the same file as `doc/slack-app-manifest.json` in the source repo, reproduced here so you do not need repo access):\n\n```json\n{\n \"display_information\": {\n \"name\": \"Recruiter Agent\",\n \"description\": \"Candidate ranking copilot: shortlist any Greenhouse req, give feedback, draft outreach, all from Slack.\",\n \"background_color\": \"#10233F\"\n },\n \"features\": {\n \"app_home\": { \"messages_tab_enabled\": true, \"messages_tab_read_only_enabled\": false },\n \"bot_user\": { \"display_name\": \"recruiter-agent\", \"always_online\": true }\n },\n \"oauth_config\": {\n \"scopes\": {\n \"bot\": [\n \"app_mentions:read\", \"chat:write\", \"commands\",\n \"im:history\", \"im:read\", \"im:write\",\n \"users:read\", \"users:read.email\"\n ]\n }\n },\n \"settings\": {\n \"event_subscriptions\": { \"bot_events\": [\"app_mention\", \"message.im\"] },\n \"interactivity\": { \"is_enabled\": false },\n \"org_deploy_enabled\": false,\n \"socket_mode_enabled\": true,\n \"token_rotation_enabled\": false\n }\n}\n```\n\nOnce installed, the running agent also serves this manifest at `GET /slack-app-manifest.json` on its own URL, so you can download it directly from your deployment.\n\n### Heads up: your web URL may not provision\n\nThe platform's shared load balancer has a limited number of URL slots. Your deployment can come up healthy but never receive a public web URL (the link returns NXDOMAIN). This is a platform capacity issue, not a broken deploy. The Slack path does not use a URL slot and works on every deployment, so treat Slack as the primary surface and the web UI as a bonus if your URL provisions.\n\n### First-run data\n\nPick one of three on the deploy form:\n\n1. Nothing (default): users paste their own Greenhouse Harvest key (`setkey greenhouse ` in a Slack DM, or the web Settings page) and rank their real pipeline.\n2. `GREENHOUSE_MOCK_URL`: point Greenhouse calls at a Postman mock for demos.\n3. `USE_SAMPLE_DATA=true`: zero-Greenhouse demo mode; ranking runs against 15 bundled sample candidates.\n\nIn every case each user sets their own Anthropic key: `setkey anthropic sk-ant-...` in a Slack DM, or the web Settings page.\n\n## Using it from Slack (no web UI needed)\n\nDM the bot after install. Your account is created automatically from your Slack email.\n\n| Command | What it does |\n|---|---|\n| `help` | Command list |\n| `whoami` | Your account + which keys are set |\n| `setkey ` | DM only. Store your BYOK key: anthropic, greenhouse, pdl, gem, gnews |\n| `list jobs` | Open requisitions |\n| `rank ` | Ranked shortlist with reasoning, streamed progress |\n| `similar [count]` | Candidates from your pool with a similar background (semantic search) |\n| `feedback [comment]` | Thumbs on your latest shortlist; trains your rubric |\n| `draft [hook]` | Claude-drafted outreach email for a shortlisted candidate |\n\n## Architecture\n\n- FastAPI agent on Astro AI: web UI on port 80, plus the messaging sidecar for Slack\n- Managed Postgres for canonical state, auto-provisioned per deployment\n- Managed Qdrant + gateway embeddings for semantic candidate search (\"more like X\"), embeddings-only gateway usage so chat costs stay BYOK\n- In-process NetworkX context graph (swappable to a managed graph store post-launch)\n- Anthropic Claude (Sonnet for reasoning, Haiku for cheaper passes)\n- Postman API Catalog publish + Postman mocks/monitors for the integration plane\n\n## User model\n\nSign in with email and password on the web, or just DM the bot on Slack; identity unifies by email across both surfaces. Per-user credentials are Fernet-encrypted at rest. Every user brings their own Anthropic and Greenhouse keys, so costs land on the right 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Recruiter Agent\ndescription: An intelligent recruiting copilot. Sign in, connect your Greenhouse (and optionally PDL / Gem), and the agent ranks your pipeline against any open req with multi-feature scoring, second-pass critic review, and network-aware reasoning. Comments on each candidate card feed back into the next ranking; rejection reasons from Greenhouse tune the rubric automatically.\ntags:\n - recruiting\n - hr\n - ranking\n - postman\nintegrations:\n - Greenhouse Harvest (user-supplied API key)\n - People Data Labs (optional, user-supplied)\n - Gem (optional, user-supplied)\n - GNews (optional, user-supplied)\n - Google Gmail + Calendar (optional, user-supplied OAuth)\n - Anthropic Claude (user-supplied, BYOK)\n - Slack (optional, deployer-supplied app tokens)\nvisibility: public\n---\n\n# Recruiter Agent\n\n## What it does\n\nGiven an open requisition, the agent pulls candidates from every source the user has connected, scores them on a thirteen-feature rubric, runs AI reasoning per candidate, applies a second-pass critic review, and returns the top thirty with concrete reasoning and \"network context\" observations the way a senior recruiter would frame them.\n\nIt works several ways from the web UI. **Applicant ranking** scores the people who applied to a req. **Whole-database sourcing** (\"source the best candidates across all of greenhouse for a CTO\") ranks the entire candidate database, applicants or not: every candidate is embedded into a persistent, incrementally-refreshed Qdrant index (built in the background, pre-warmed on session start), the whole index is ranked by similarity to the role, and the top matches get the full Claude deep-scoring pass. The rubric weights adapt to each specific role, derived per-JD on top of the learned per-archetype baseline, so a CTO and a CFO are scored differently.\n\nTwo more web modes invert the flow. **Match a profile** takes a resume (pasted or uploaded) and scores it against every open req as a fit %, blending semantic role match, skills overlap, and seniority, then a Claude re-rank sharpens the top openings and suggests the best-fit role or a new one worth opening. **Ideal profiles** takes 1-3 ideal profiles for a role (a resume, or a structured brief of title/skills/education/experience/justification) and returns the closest candidates in the database for each, ranked by similarity (top 30 for one ideal, 15 each for two, 10 each for three). Every result card across all modes is clickable into a LinkedIn-style profile panel (current title, experience, education, certificates, skills, LinkedIn link) with the reasoning or similarity shown alongside, and each candidate carries a US work-eligibility signal (green/amber/red) with optional location and eligibility filtering.\n\nThe agent learns continuously from three signals:\n\n- Thumbs feedback per card (numeric rubric weight updates), from the web UI or the Slack `feedback` command\n- Free-text comments per card (injected verbatim into the next ranking's reasoning prompt)\n- Greenhouse rejection reasons (mapped to feature impact via `intelligence/rejection_signal.py`)\n\n## Deploy your own copy\n\nEvery deployment is fully isolated: its own managed Postgres, its own auto-generated encryption secrets, its own users. You do not share data with any other deployment of this blueprint. Nothing needs to be pasted at deploy time; the agent generates and persists its platform secrets on first boot.\n\n```bash\n# 1. Install the CLI and sign in\ncurl -fsSL https://astropods.com/install | sh\nast login\n\n# 2. Deploy straight from the public catalog\nast deploy recruiter-agent --adapter slack --adapter web --wait\n```\n\nFor Slack, create your own Slack app in your workspace first: at https://api.slack.com/apps choose Create New App, then \"From an app manifest\", and paste the manifest below. Then install it to the workspace and paste the two tokens (`xapp-...` app token, `xoxb-...` bot token) when the deploy form asks for them.\n\nSlack app manifest (copy this; it is the same file as `doc/slack-app-manifest.json` in the source repo, reproduced here so you do not need repo access):\n\n```json\n{\n \"display_information\": {\n \"name\": \"Recruiter Agent\",\n \"description\": \"Candidate ranking copilot: shortlist any Greenhouse req, give feedback, draft outreach, all from Slack.\",\n \"background_color\": \"#10233F\"\n },\n \"features\": {\n \"app_home\": { \"messages_tab_enabled\": true, \"messages_tab_read_only_enabled\": false },\n \"bot_user\": { \"display_name\": \"recruiter-agent\", \"always_online\": true }\n },\n \"oauth_config\": {\n \"scopes\": {\n \"bot\": [\n \"app_mentions:read\", \"chat:write\", \"commands\",\n \"im:history\", \"im:read\", \"im:write\",\n \"users:read\", \"users:read.email\"\n ]\n }\n },\n \"settings\": {\n \"event_subscriptions\": { \"bot_events\": [\"app_mention\", \"message.im\"] },\n \"interactivity\": { \"is_enabled\": false },\n \"org_deploy_enabled\": false,\n \"socket_mode_enabled\": true,\n \"token_rotation_enabled\": false\n }\n}\n```\n\nOnce installed, the running agent also serves this manifest at `GET /slack-app-manifest.json` on its own URL, so you can download it directly from your deployment.\n\n### Heads up: your web URL may not provision\n\nThe platform's shared load balancer has a limited number of URL slots. Your deployment can come up healthy but never receive a public web URL (the link returns NXDOMAIN). This is a platform capacity issue, not a broken deploy. The Slack path does not use a URL slot and works on every deployment, so treat Slack as the primary surface and the web UI as a bonus if your URL provisions.\n\n### First-run data\n\nPick one of three on the deploy form:\n\n1. Nothing (default): users paste their own Greenhouse Harvest key (`setkey greenhouse ` in a Slack DM, or the web Settings page) and rank their real pipeline.\n2. `GREENHOUSE_MOCK_URL`: point Greenhouse calls at a Postman mock for demos.\n3. `USE_SAMPLE_DATA=true`: zero-Greenhouse demo mode; ranking runs against 15 bundled sample candidates.\n\nIn every case each user sets their own Anthropic key: `setkey anthropic sk-ant-...` in a Slack DM, or the web Settings page.\n\n## Using it from Slack (no web UI needed)\n\nDM the bot after install. Your account is created automatically from your Slack email.\n\n| Command | What it does |\n|---|---|\n| `help` | Command list |\n| `whoami` | Your account + which keys are set |\n| `setkey ` | DM only. Store your BYOK key: anthropic, greenhouse, pdl, gem, gnews |\n| `list jobs` | Open requisitions |\n| `rank ` | Ranked shortlist with reasoning, streamed progress |\n| `similar [count]` | Candidates from your pool with a similar background (semantic search) |\n| `feedback [comment]` | Thumbs on your latest shortlist; trains your rubric |\n| `draft [hook]` | Claude-drafted outreach email for a shortlisted candidate |\n\n## Architecture\n\n- FastAPI agent on Astro AI: web UI on port 80, plus the messaging sidecar for Slack\n- Managed Postgres for canonical state, auto-provisioned per deployment\n- Managed Qdrant + gateway embeddings for semantic candidate search (\"more like X\"), embeddings-only gateway usage so chat costs stay BYOK\n- In-process NetworkX context graph (swappable to a managed graph store post-launch)\n- Anthropic Claude (Sonnet for reasoning, Haiku for cheaper passes)\n- Postman API Catalog publish + Postman mocks/monitors for the integration plane\n\n## User model\n\nSign in with email and password on the web, or just DM the bot on Slack; identity unifies by email across both surfaces. Per-user credentials are Fernet-encrypted at rest. Every user brings their own Anthropic and Greenhouse keys, so costs land on the right account.\n",{"_158":159,"_160":3159,"_162":3160,"_164":3161},"2026-08-05T19:17:39Z",[186,187,188,189],"\n# Recruiter Agent\n\n## What it does\n\nGiven an open requisition, the agent pulls candidates from every source the user has connected, scores them on a thirteen-feature rubric, runs AI reasoning per candidate, applies a second-pass critic review, and returns the top thirty with concrete reasoning and \"network context\" observations the way a senior recruiter would frame them.\n\nIt works several ways from the web UI. **Applicant ranking** scores the people who applied to a req. **Whole-database sourcing** (\"source the best candidates across all of greenhouse for a CTO\") ranks the entire candidate database, applicants or not: every candidate is embedded into a persistent, incrementally-refreshed Qdrant index (built in the background, pre-warmed on session start), the whole index is ranked by similarity to the role, and the top matches get the full Claude deep-scoring pass. The rubric weights adapt to each specific role, derived per-JD on top of the learned per-archetype baseline, so a CTO and a CFO are scored differently.\n\nTwo more web modes invert the flow. **Match a profile** takes a resume (pasted or uploaded) and scores it against every open req as a fit %, blending semantic role match, skills overlap, and seniority, then a Claude re-rank sharpens the top openings and suggests the best-fit role or a new one worth opening. **Ideal profiles** takes 1-3 ideal profiles for a role (a resume, or a structured brief of title/skills/education/experience/justification) and returns the closest candidates in the database for each, ranked by similarity (top 30 for one ideal, 15 each for two, 10 each for three). Every result card across all modes is clickable into a LinkedIn-style profile panel (current title, experience, education, certificates, skills, LinkedIn link) with the reasoning or similarity shown alongside, and each candidate carries a US work-eligibility signal (green/amber/red) with optional location and eligibility filtering.\n\nThe agent learns continuously from three signals:\n\n- Thumbs feedback per card (numeric rubric weight updates), from the web UI or the Slack `feedback` command\n- Free-text comments per card (injected verbatim into the next ranking's reasoning prompt)\n- Greenhouse rejection reasons (mapped to feature impact via `intelligence/rejection_signal.py`)\n\n## Deploy your own copy\n\nEvery deployment is fully isolated: its own managed Postgres, its own auto-generated encryption secrets, its own users. You do not share data with any other deployment of this blueprint. Nothing needs to be pasted at deploy time; the agent generates and persists its platform secrets on first boot.\n\n```bash\n# 1. Install the CLI and sign in\ncurl -fsSL https://astropods.com/install | sh\nast login\n\n# 2. Deploy straight from the public catalog\nast deploy recruiter-agent --adapter slack --adapter web --wait\n```\n\nFor Slack, create your own Slack app in your workspace first: at https://api.slack.com/apps choose Create New App, then \"From an app manifest\", and paste the manifest below. Then install it to the workspace and paste the two tokens (`xapp-...` app token, `xoxb-...` bot token) when the deploy form asks for them.\n\nSlack app manifest (copy this; it is the same file as `doc/slack-app-manifest.json` in the source repo, reproduced here so you do not need repo access):\n\n```json\n{\n \"display_information\": {\n \"name\": \"Recruiter Agent\",\n \"description\": \"Candidate ranking copilot: shortlist any Greenhouse req, give feedback, draft outreach, all from Slack.\",\n \"background_color\": \"#10233F\"\n },\n \"features\": {\n \"app_home\": { \"messages_tab_enabled\": true, \"messages_tab_read_only_enabled\": false },\n \"bot_user\": { \"display_name\": \"recruiter-agent\", \"always_online\": true }\n },\n \"oauth_config\": {\n \"scopes\": {\n \"bot\": [\n \"app_mentions:read\", \"chat:write\", \"commands\",\n \"im:history\", \"im:read\", \"im:write\",\n \"users:read\", \"users:read.email\"\n ]\n }\n },\n \"settings\": {\n \"event_subscriptions\": { \"bot_events\": [\"app_mention\", \"message.im\"] },\n \"interactivity\": { \"is_enabled\": false },\n \"org_deploy_enabled\": false,\n \"socket_mode_enabled\": true,\n \"token_rotation_enabled\": false\n }\n}\n```\n\nOnce installed, the running agent also serves this manifest at `GET /slack-app-manifest.json` on its own URL, so you can download it directly from your deployment.\n\n### Heads up: your web URL may not provision\n\nThe platform's shared load balancer has a limited number of URL slots. Your deployment can come up healthy but never receive a public web URL (the link returns NXDOMAIN). This is a platform capacity issue, not a broken deploy. The Slack path does not use a URL slot and works on every deployment, so treat Slack as the primary surface and the web UI as a bonus if your URL provisions.\n\n### First-run data\n\nPick one of three on the deploy form:\n\n1. Nothing (default): users paste their own Greenhouse Harvest key (`setkey greenhouse ` in a Slack DM, or the web Settings page) and rank their real pipeline.\n2. `GREENHOUSE_MOCK_URL`: point Greenhouse calls at a Postman mock for demos.\n3. `USE_SAMPLE_DATA=true`: zero-Greenhouse demo mode; ranking runs against 15 bundled sample candidates.\n\nIn every case each user sets their own Anthropic key: `setkey anthropic sk-ant-...` in a Slack DM, or the web Settings page.\n\n## Using it from Slack (no web UI needed)\n\nDM the bot after install. Your account is created automatically from your Slack email.\n\n| Command | What it does |\n|---|---|\n| `help` | Command list |\n| `whoami` | Your account + which keys are set |\n| `setkey ` | DM only. Store your BYOK key: anthropic, greenhouse, pdl, gem, gnews |\n| `list jobs` | Open requisitions |\n| `rank ` | Ranked shortlist with reasoning, streamed progress |\n| `similar [count]` | Candidates from your pool with a similar background (semantic search) |\n| `feedback [comment]` | Thumbs on your latest shortlist; trains your rubric |\n| `draft [hook]` | Claude-drafted outreach email for a shortlisted candidate |\n\n## Architecture\n\n- FastAPI agent on Astro AI: web UI on port 80, plus the messaging sidecar for Slack\n- Managed Postgres for canonical state, auto-provisioned per deployment\n- Managed Qdrant + gateway embeddings for semantic candidate search (\"more like X\"), embeddings-only gateway usage so chat costs stay BYOK\n- In-process NetworkX context graph (swappable to a managed graph store post-launch)\n- Anthropic Claude (Sonnet for reasoning, Haiku for cheaper passes)\n- Postman API Catalog publish + Postman mocks/monitors for the integration plane\n\n## User model\n\nSign in with email and password on the web, or just DM the bot on Slack; identity unifies by email across both surfaces. Per-user credentials are Fernet-encrypted at rest. Every user brings their own Anthropic and Greenhouse keys, so costs land on the right account.\n",[3162,3163,3164,3165,3166,3167,3168],{"_172":184,"_16":185,"_175":33},{"_172":182,"_16":183,"_175":33},{"_172":180,"_16":181,"_175":33},{"_172":178,"_16":179,"_175":33},{"_172":176,"_16":177,"_175":33},{"_172":1409,"_16":1410,"_175":33},{"_172":1407,"_16":1408,"_175":33},{"_1522":27,"_214":3178,"_216":3179,"_218":3180,"_208":3181},{"_208":3174},{"_205":3172,"_1515":3173},{"_201":207},{"_201":1517},{"_210":3175,"_221":3176},{"_212":213},{"_1289":3177},[1291],{"_233":2165,"_235":236,"_237":2531,"_239":2167},"registry.astropods.ai/nitinlodha/recruiter-agent:ba07f93f",[3182,3183,3184,3185,3186,3187,3188,3189],{"_210":27,"_221":27},{"_225":226,"_880":881,"_158":959,"_16":230,"_907":27},{"_225":226,"_880":881,"_158":958,"_16":228,"_907":27},{"_225":226,"_880":881,"_158":626,"_16":627,"_907":27},{"_225":226,"_880":881,"_158":1014,"_16":232,"_907":27},{"_225":226,"_880":881,"_158":1012,"_16":1013,"_907":27},{"_225":226,"_880":881,"_158":1430,"_16":1431,"_907":27},{"_225":226,"_880":881,"_158":2665,"_16":2666,"_907":27},{"_225":226,"_880":881,"_158":1184,"_16":1185,"_907":27},"01425211",{"_9":3203,"_191":3204,"_193":3205,"_150":197},{"_158":159,"_160":3194,"_162":3160,"_164":3195},"2026-08-05T19:30:07Z",[186,187,188,189],[3196,3197,3198,3199,3200,3201,3202],{"_172":184,"_16":185,"_175":33},{"_172":182,"_16":183,"_175":33},{"_172":180,"_16":181,"_175":33},{"_172":178,"_16":179,"_175":33},{"_172":176,"_16":177,"_175":33},{"_172":1409,"_16":1410,"_175":33},{"_172":1407,"_16":1408,"_175":33},{"_1522":27,"_214":3212,"_216":3213,"_218":3214,"_208":3215},{"_208":3208},{"_205":3206,"_1515":3207},{"_201":207},{"_201":1517},{"_210":3209,"_221":3210},{"_212":213},{"_1289":3211},[1291],{"_233":2165,"_235":236,"_237":2531,"_239":2167},"registry.astropods.ai/nitinlodha/recruiter-agent:01425211",[3216,3217,3218,3219,3220,3221,3222,3223],{"_210":27,"_221":27},{"_225":226,"_880":881,"_158":959,"_16":230,"_907":27},{"_225":226,"_880":881,"_158":958,"_16":228,"_907":27},{"_225":226,"_880":881,"_158":626,"_16":627,"_907":27},{"_225":226,"_880":881,"_158":1014,"_16":232,"_907":27},{"_225":226,"_880":881,"_158":1012,"_16":1013,"_907":27},{"_225":226,"_880":881,"_158":1430,"_16":1431,"_907":27},{"_225":226,"_880":881,"_158":2665,"_16":2666,"_907":27},{"_225":226,"_880":881,"_158":1184,"_16":1185,"_907":27},"278f3d51",{"_9":3239,"_191":3240,"_193":3241,"_150":197},"---\nname: Recruiter Agent\ndescription: An intelligent recruiting copilot. Sign in, connect your Greenhouse (and optionally PDL / Gem), and the agent ranks your pipeline against any open req with multi-feature scoring, second-pass critic review, and network-aware reasoning. Comments on each candidate card feed back into the next ranking; rejection reasons from Greenhouse tune the rubric automatically.\ntags:\n - recruiting\n - hr\n - ranking\n - postman\nintegrations:\n - Greenhouse Harvest (user-supplied API key)\n - People Data Labs (optional, user-supplied)\n - Gem (optional, user-supplied)\n - GNews (optional, user-supplied)\n - Google Gmail + Calendar (optional, user-supplied OAuth)\n - Anthropic Claude (user-supplied, BYOK)\n - Slack (optional, deployer-supplied app tokens)\nvisibility: public\n---\n\n# Recruiter Agent\n\n## What it does\n\nGiven an open requisition, the agent pulls candidates from every source the user has connected, scores them on a thirteen-feature rubric, runs AI reasoning per candidate, applies a second-pass critic review, and returns the top thirty with concrete reasoning and \"network context\" observations the way a senior recruiter would frame them.\n\nIt works several ways from the web UI. **Applicant ranking** scores the people who applied to a req. **Whole-database sourcing** (\"source the best candidates across all of greenhouse for a CTO\") ranks the entire candidate database, applicants or not: every candidate is embedded into a persistent, incrementally-refreshed Qdrant index (built in the background, pre-warmed on session start), the whole index is ranked by similarity to the role, and the top matches get the full Claude deep-scoring pass. The rubric weights adapt to each specific role, derived per-JD on top of the learned per-archetype baseline, so a CTO and a CFO are scored differently.\n\nTwo more web modes invert the flow. **Match a profile** takes a resume (pasted or uploaded) and scores it against every open req as a fit %, blending semantic role match, skills overlap, and seniority, then a Claude re-rank sharpens the top openings and suggests the best-fit role or a new one worth opening. **Ideal profiles** takes 1-3 ideal profiles for a role (a resume, or a structured brief of title/skills/education/experience/justification) and returns the closest candidates in the database for each, ranked by similarity (top 30 for one ideal, 15 each for two, 10 each for three). Every result card across all modes is clickable into a LinkedIn-style profile panel (current title, experience, education, certificates, skills, LinkedIn link) with the reasoning or similarity shown alongside, and each candidate carries a US work-eligibility signal (green/amber/red) with optional location and eligibility filtering.\n\nThe recruiter can also ask for open requisitions as a table: \"give me all open reqs by location\" or \"show open roles in the USA as a table\" returns the open reqs inline with requisition id, title, location, department, compensation, and a JD summary, filtered or grouped by location, plus a CSV export link.\n\nThe agent learns continuously from three signals:\n\n- Thumbs feedback per card (numeric rubric weight updates), from the web UI or the Slack `feedback` command\n- Free-text comments per card (injected verbatim into the next ranking's reasoning prompt)\n- Greenhouse rejection reasons (mapped to feature impact via `intelligence/rejection_signal.py`)\n\n## Deploy your own copy\n\nEvery deployment is fully isolated: its own managed Postgres, its own auto-generated encryption secrets, its own users. You do not share data with any other deployment of this blueprint. Nothing needs to be pasted at deploy time; the agent generates and persists its platform secrets on first boot.\n\n```bash\n# 1. Install the CLI and sign in\ncurl -fsSL https://astropods.com/install | sh\nast login\n\n# 2. Deploy straight from the public catalog\nast deploy recruiter-agent --adapter slack --adapter web --wait\n```\n\nFor Slack, create your own Slack app in your workspace first: at https://api.slack.com/apps choose Create New App, then \"From an app manifest\", and paste the manifest below. Then install it to the workspace and paste the two tokens (`xapp-...` app token, `xoxb-...` bot token) when the deploy form asks for them.\n\nSlack app manifest (copy this; it is the same file as `doc/slack-app-manifest.json` in the source repo, reproduced here so you do not need repo access):\n\n```json\n{\n \"display_information\": {\n \"name\": \"Recruiter Agent\",\n \"description\": \"Candidate ranking copilot: shortlist any Greenhouse req, give feedback, draft outreach, all from Slack.\",\n \"background_color\": \"#10233F\"\n },\n \"features\": {\n \"app_home\": { \"messages_tab_enabled\": true, \"messages_tab_read_only_enabled\": false },\n \"bot_user\": { \"display_name\": \"recruiter-agent\", \"always_online\": true }\n },\n \"oauth_config\": {\n \"scopes\": {\n \"bot\": [\n \"app_mentions:read\", \"chat:write\", \"commands\",\n \"im:history\", \"im:read\", \"im:write\",\n \"users:read\", \"users:read.email\"\n ]\n }\n },\n \"settings\": {\n \"event_subscriptions\": { \"bot_events\": [\"app_mention\", \"message.im\"] },\n \"interactivity\": { \"is_enabled\": false },\n \"org_deploy_enabled\": false,\n \"socket_mode_enabled\": true,\n \"token_rotation_enabled\": false\n }\n}\n```\n\nOnce installed, the running agent also serves this manifest at `GET /slack-app-manifest.json` on its own URL, so you can download it directly from your deployment.\n\n### Heads up: your web URL may not provision\n\nThe platform's shared load balancer has a limited number of URL slots. Your deployment can come up healthy but never receive a public web URL (the link returns NXDOMAIN). This is a platform capacity issue, not a broken deploy. The Slack path does not use a URL slot and works on every deployment, so treat Slack as the primary surface and the web UI as a bonus if your URL provisions.\n\n### First-run data\n\nPick one of three on the deploy form:\n\n1. Nothing (default): users paste their own Greenhouse Harvest key (`setkey greenhouse ` in a Slack DM, or the web Settings page) and rank their real pipeline.\n2. `GREENHOUSE_MOCK_URL`: point Greenhouse calls at a Postman mock for demos.\n3. `USE_SAMPLE_DATA=true`: zero-Greenhouse demo mode; ranking runs against 15 bundled sample candidates.\n\nIn every case each user sets their own Anthropic key: `setkey anthropic sk-ant-...` in a Slack DM, or the web Settings page.\n\n## Using it from Slack (no web UI needed)\n\nDM the bot after install. Your account is created automatically from your Slack email.\n\n| Command | What it does |\n|---|---|\n| `help` | Command list |\n| `whoami` | Your account + which keys are set |\n| `setkey ` | DM only. Store your BYOK key: anthropic, greenhouse, pdl, gem, gnews |\n| `list jobs` | Open requisitions |\n| `rank ` | Ranked shortlist with reasoning, streamed progress |\n| `similar [count]` | Candidates from your pool with a similar background (semantic search) |\n| `feedback [comment]` | Thumbs on your latest shortlist; trains your rubric |\n| `draft [hook]` | Claude-drafted outreach email for a shortlisted candidate |\n\n## Architecture\n\n- FastAPI agent on Astro AI: web UI on port 80, plus the messaging sidecar for Slack\n- Managed Postgres for canonical state, auto-provisioned per deployment\n- Managed Qdrant + gateway embeddings for semantic candidate search (\"more like X\"), embeddings-only gateway usage so chat costs stay BYOK\n- In-process NetworkX context graph (swappable to a managed graph store post-launch)\n- Anthropic Claude (Sonnet for reasoning, Haiku for cheaper passes)\n- Postman API Catalog publish + Postman mocks/monitors for the integration plane\n\n## User model\n\nSign in with email and password on the web, or just DM the bot on Slack; identity unifies by email across both surfaces. Per-user credentials are Fernet-encrypted at rest. Every user brings their own Anthropic and Greenhouse keys, so costs land on the right account.\n",{"_158":159,"_160":3229,"_162":3230,"_164":3231},"2026-08-11T03:39:36Z",[186,187,188,189],"\n# Recruiter Agent\n\n## What it does\n\nGiven an open requisition, the agent pulls candidates from every source the user has connected, scores them on a thirteen-feature rubric, runs AI reasoning per candidate, applies a second-pass critic review, and returns the top thirty with concrete reasoning and \"network context\" observations the way a senior recruiter would frame them.\n\nIt works several ways from the web UI. **Applicant ranking** scores the people who applied to a req. **Whole-database sourcing** (\"source the best candidates across all of greenhouse for a CTO\") ranks the entire candidate database, applicants or not: every candidate is embedded into a persistent, incrementally-refreshed Qdrant index (built in the background, pre-warmed on session start), the whole index is ranked by similarity to the role, and the top matches get the full Claude deep-scoring pass. The rubric weights adapt to each specific role, derived per-JD on top of the learned per-archetype baseline, so a CTO and a CFO are scored differently.\n\nTwo more web modes invert the flow. **Match a profile** takes a resume (pasted or uploaded) and scores it against every open req as a fit %, blending semantic role match, skills overlap, and seniority, then a Claude re-rank sharpens the top openings and suggests the best-fit role or a new one worth opening. **Ideal profiles** takes 1-3 ideal profiles for a role (a resume, or a structured brief of title/skills/education/experience/justification) and returns the closest candidates in the database for each, ranked by similarity (top 30 for one ideal, 15 each for two, 10 each for three). Every result card across all modes is clickable into a LinkedIn-style profile panel (current title, experience, education, certificates, skills, LinkedIn link) with the reasoning or similarity shown alongside, and each candidate carries a US work-eligibility signal (green/amber/red) with optional location and eligibility filtering.\n\nThe recruiter can also ask for open requisitions as a table: \"give me all open reqs by location\" or \"show open roles in the USA as a table\" returns the open reqs inline with requisition id, title, location, department, compensation, and a JD summary, filtered or grouped by location, plus a CSV export link.\n\nThe agent learns continuously from three signals:\n\n- Thumbs feedback per card (numeric rubric weight updates), from the web UI or the Slack `feedback` command\n- Free-text comments per card (injected verbatim into the next ranking's reasoning prompt)\n- Greenhouse rejection reasons (mapped to feature impact via `intelligence/rejection_signal.py`)\n\n## Deploy your own copy\n\nEvery deployment is fully isolated: its own managed Postgres, its own auto-generated encryption secrets, its own users. You do not share data with any other deployment of this blueprint. Nothing needs to be pasted at deploy time; the agent generates and persists its platform secrets on first boot.\n\n```bash\n# 1. Install the CLI and sign in\ncurl -fsSL https://astropods.com/install | sh\nast login\n\n# 2. Deploy straight from the public catalog\nast deploy recruiter-agent --adapter slack --adapter web --wait\n```\n\nFor Slack, create your own Slack app in your workspace first: at https://api.slack.com/apps choose Create New App, then \"From an app manifest\", and paste the manifest below. Then install it to the workspace and paste the two tokens (`xapp-...` app token, `xoxb-...` bot token) when the deploy form asks for them.\n\nSlack app manifest (copy this; it is the same file as `doc/slack-app-manifest.json` in the source repo, reproduced here so you do not need repo access):\n\n```json\n{\n \"display_information\": {\n \"name\": \"Recruiter Agent\",\n \"description\": \"Candidate ranking copilot: shortlist any Greenhouse req, give feedback, draft outreach, all from Slack.\",\n \"background_color\": \"#10233F\"\n },\n \"features\": {\n \"app_home\": { \"messages_tab_enabled\": true, \"messages_tab_read_only_enabled\": false },\n \"bot_user\": { \"display_name\": \"recruiter-agent\", \"always_online\": true }\n },\n \"oauth_config\": {\n \"scopes\": {\n \"bot\": [\n \"app_mentions:read\", \"chat:write\", \"commands\",\n \"im:history\", \"im:read\", \"im:write\",\n \"users:read\", \"users:read.email\"\n ]\n }\n },\n \"settings\": {\n \"event_subscriptions\": { \"bot_events\": [\"app_mention\", \"message.im\"] },\n \"interactivity\": { \"is_enabled\": false },\n \"org_deploy_enabled\": false,\n \"socket_mode_enabled\": true,\n \"token_rotation_enabled\": false\n }\n}\n```\n\nOnce installed, the running agent also serves this manifest at `GET /slack-app-manifest.json` on its own URL, so you can download it directly from your deployment.\n\n### Heads up: your web URL may not provision\n\nThe platform's shared load balancer has a limited number of URL slots. Your deployment can come up healthy but never receive a public web URL (the link returns NXDOMAIN). This is a platform capacity issue, not a broken deploy. The Slack path does not use a URL slot and works on every deployment, so treat Slack as the primary surface and the web UI as a bonus if your URL provisions.\n\n### First-run data\n\nPick one of three on the deploy form:\n\n1. Nothing (default): users paste their own Greenhouse Harvest key (`setkey greenhouse ` in a Slack DM, or the web Settings page) and rank their real pipeline.\n2. `GREENHOUSE_MOCK_URL`: point Greenhouse calls at a Postman mock for demos.\n3. `USE_SAMPLE_DATA=true`: zero-Greenhouse demo mode; ranking runs against 15 bundled sample candidates.\n\nIn every case each user sets their own Anthropic key: `setkey anthropic sk-ant-...` in a Slack DM, or the web Settings page.\n\n## Using it from Slack (no web UI needed)\n\nDM the bot after install. Your account is created automatically from your Slack email.\n\n| Command | What it does |\n|---|---|\n| `help` | Command list |\n| `whoami` | Your account + which keys are set |\n| `setkey ` | DM only. Store your BYOK key: anthropic, greenhouse, pdl, gem, gnews |\n| `list jobs` | Open requisitions |\n| `rank ` | Ranked shortlist with reasoning, streamed progress |\n| `similar [count]` | Candidates from your pool with a similar background (semantic search) |\n| `feedback [comment]` | Thumbs on your latest shortlist; trains your rubric |\n| `draft [hook]` | Claude-drafted outreach email for a shortlisted candidate |\n\n## Architecture\n\n- FastAPI agent on Astro AI: web UI on port 80, plus the messaging sidecar for Slack\n- Managed Postgres for canonical state, auto-provisioned per deployment\n- Managed Qdrant + gateway embeddings for semantic candidate search (\"more like X\"), embeddings-only gateway usage so chat costs stay BYOK\n- In-process NetworkX context graph (swappable to a managed graph store post-launch)\n- Anthropic Claude (Sonnet for reasoning, Haiku for cheaper passes)\n- Postman API Catalog publish + Postman mocks/monitors for the integration plane\n\n## User model\n\nSign in with email and password on the web, or just DM the bot on Slack; identity unifies by email across both surfaces. Per-user credentials are Fernet-encrypted at rest. Every user brings their own Anthropic and Greenhouse keys, so costs land on the right 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