[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-posthog-signals-scout-ai-cost":3,"mdc--9fisfb-key":42,"related-org-posthog-signals-scout-ai-cost":324,"related-repo-posthog-signals-scout-ai-cost":502},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":11,"stars":26,"repoUrl":27,"updatedAt":28,"license":29,"forks":30,"topics":31,"repo":37,"sourceUrl":40,"mdContent":41},"signals-scout-ai-cost","monitor AI feature costs and performance","Watches cost per conversation for AI features and reports when it breaks from its recent norm while volume holds steady, attributing the change to a model, prompt, cache, or retry cause.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},"posthog","PostHog","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fposthog.png",[12,16,17,20,23],{"name":13,"slug":14,"type":15},"Observability","observability","tag",{"name":9,"slug":8,"type":15},{"name":18,"slug":19,"type":15},"LLM","llm",{"name":21,"slug":22,"type":15},"Monitoring","monitoring",{"name":24,"slug":25,"type":15},"Cost Optimization","cost-optimization",1091,"https:\u002F\u002Fgithub.com\u002FPostHog\u002Fposthog.com","2026-08-10T04:45:48.936016",null,856,[32,33,34,35,8,36],"design","docs","gatsby","handbook","tailwindcss",{"repoUrl":27,"stars":26,"forks":30,"topics":38,"description":39},[32,33,34,35,8,36],"Official docs, website, and handbook for PostHog.","https:\u002F\u002Fgithub.com\u002FPostHog\u002Fposthog.com\u002Ftree\u002FHEAD\u002Fcontents\u002Fpocket-guides\u002Fself-driving\u002Fai-spend-that-jumps","---\nname: signals-scout-ai-cost\ndescription: >\n  Watches cost per conversation for AI features and reports when it breaks from its recent norm\n  while volume holds steady, attributing the change to a model, prompt, cache, or retry cause.\nallowed_tools:\n  - emit_report\n  - edit_report\n---\n\n# AI spend that jumps overnight\n\nWatch unit economics for AI features, not the total bill.\n\nNarrower than `signals-scout-ai-observability`, which rotates through cost, latency, errors,\nvolume and eval lenses and deliberately does not run every lens each tick. Run this one when\ncost is the thing you want watched every day rather than whenever the rotation reaches it. If\nyou already run the canonical scout and cost regressions are surfacing in time, you don't need\nboth.\n\n## Discriminator\n\nEmit a report when cost per conversation rises above its trailing 14-day norm **while\nconversation volume stays within its own normal range**. Write nothing when total cost rose but\ncost per conversation is flat – that is usage growth.\n\n### The bar\n\nA starting threshold, to be tuned against what this team's data actually does:\n\n- **≥1.5× the trailing 14-day median cost per conversation, sustained across two consecutive\n  complete days**, or\n- **≥2× for a single complete day**, where volume is within ±25% of its own 14-day median.\n\nUse complete days only – a partial day reads as a spike every time. If the team's baseline is\ngenuinely noisy, widen the bar and write what you chose to the scratchpad rather than lowering\nit and filing marginal reports.\n\n## Explore\n\n1. Compute daily cost per conversation over the last 14 days: total generation cost divided by\n   distinct conversations – `$ai_trace_id`, or `$ai_session_id` where a conversation spans\n   traces – split per feature.\n2. Where a day clears the bar, decompose it. Check in this order, roughly the order of\n   likelihood:\n   - **Model changed** – compare the model distribution before and after.\n   - **Cache hit rate dropped** – compare `$ai_cache_read_input_tokens` as a share of input\n     tokens. A system-prompt edit invalidates the cache prefix and multiplies input cost with no\n     change to model, token count, or generation count, so every other check here comes back\n     clean while the bill climbs. Check it early.\n   - **Prompt grew** – compare median input tokens per generation.\n   - **Retries** – compare generations per conversation, and check `$ai_is_error` on the same\n     generation stream.\n   - **Output grew** – compare median output tokens.\n3. If retries look like the cause, confirm the failures actually cost money. A 429 rejection\n   bills nothing; only failures after the provider started generating do – timeouts mid-stream,\n   `max_tokens` truncation, malformed tool output, guardrail rejections. Check `$ai_http_status`\n   and `$ai_stop_reason`, and confirm the failed generations carry non-zero cost before calling\n   retries the cause.\n4. Name the most likely cause in the report. A cost report without a cause is just an invoice.\n5. Where a deploy sits in the window, include the commit range.\n\n## Disqualifiers\n\n- Conversation volume moved as much as cost did – that's growth.\n- The change is a deliberate, announced model upgrade.\n- The change follows a deliberate caching-strategy change – a shortened prefix or a switched\n  cache TTL raises unit cost on purpose.\n- The provider changed its prices. This scout does not watch price lists, so confirm the\n  per-token rate is unchanged before attributing a rise to your own code.\n- The window covers a backfill, replay, or eval run rather than real traffic.\n- The feature is new enough that there's no stable norm to compare against.\n",{"data":43,"body":47},{"name":4,"description":6,"allowed_tools":44},[45,46],"emit_report","edit_report",{"type":48,"children":49},"root",[50,59,65,79,86,99,106,111,136,141,147,285,291],{"type":51,"tag":52,"props":53,"children":55},"element","h1",{"id":54},"ai-spend-that-jumps-overnight",[56],{"type":57,"value":58},"text","AI spend that jumps overnight",{"type":51,"tag":60,"props":61,"children":62},"p",{},[63],{"type":57,"value":64},"Watch unit economics for AI features, not the total bill.",{"type":51,"tag":60,"props":66,"children":67},{},[68,70,77],{"type":57,"value":69},"Narrower than ",{"type":51,"tag":71,"props":72,"children":74},"code",{"className":73},[],[75],{"type":57,"value":76},"signals-scout-ai-observability",{"type":57,"value":78},", which rotates through cost, latency, errors,\nvolume and eval lenses and deliberately does not run every lens each tick. Run this one when\ncost is the thing you want watched every day rather than whenever the rotation reaches it. If\nyou already run the canonical scout and cost regressions are surfacing in time, you don't need\nboth.",{"type":51,"tag":80,"props":81,"children":83},"h2",{"id":82},"discriminator",[84],{"type":57,"value":85},"Discriminator",{"type":51,"tag":60,"props":87,"children":88},{},[89,91,97],{"type":57,"value":90},"Emit a report when cost per conversation rises above its trailing 14-day norm ",{"type":51,"tag":92,"props":93,"children":94},"strong",{},[95],{"type":57,"value":96},"while\nconversation volume stays within its own normal range",{"type":57,"value":98},". Write nothing when total cost rose but\ncost per conversation is flat – that is usage growth.",{"type":51,"tag":100,"props":101,"children":103},"h3",{"id":102},"the-bar",[104],{"type":57,"value":105},"The bar",{"type":51,"tag":60,"props":107,"children":108},{},[109],{"type":57,"value":110},"A starting threshold, to be tuned against what this team's data actually does:",{"type":51,"tag":112,"props":113,"children":114},"ul",{},[115,126],{"type":51,"tag":116,"props":117,"children":118},"li",{},[119,124],{"type":51,"tag":92,"props":120,"children":121},{},[122],{"type":57,"value":123},"≥1.5× the trailing 14-day median cost per conversation, sustained across two consecutive\ncomplete days",{"type":57,"value":125},", or",{"type":51,"tag":116,"props":127,"children":128},{},[129,134],{"type":51,"tag":92,"props":130,"children":131},{},[132],{"type":57,"value":133},"≥2× for a single complete day",{"type":57,"value":135},", where volume is within ±25% of its own 14-day median.",{"type":51,"tag":60,"props":137,"children":138},{},[139],{"type":57,"value":140},"Use complete days only – a partial day reads as a spike every time. If the team's baseline is\ngenuinely noisy, widen the bar and write what you chose to the scratchpad rather than lowering\nit and filing marginal reports.",{"type":51,"tag":80,"props":142,"children":144},{"id":143},"explore",[145],{"type":57,"value":146},"Explore",{"type":51,"tag":148,"props":149,"children":150},"ol",{},[151,172,246,275,280],{"type":51,"tag":116,"props":152,"children":153},{},[154,156,162,164,170],{"type":57,"value":155},"Compute daily cost per conversation over the last 14 days: total generation cost divided by\ndistinct conversations – ",{"type":51,"tag":71,"props":157,"children":159},{"className":158},[],[160],{"type":57,"value":161},"$ai_trace_id",{"type":57,"value":163},", or ",{"type":51,"tag":71,"props":165,"children":167},{"className":166},[],[168],{"type":57,"value":169},"$ai_session_id",{"type":57,"value":171}," where a conversation spans\ntraces – split per feature.",{"type":51,"tag":116,"props":173,"children":174},{},[175,177],{"type":57,"value":176},"Where a day clears the bar, decompose it. Check in this order, roughly the order of\nlikelihood:\n",{"type":51,"tag":112,"props":178,"children":179},{},[180,190,208,218,236],{"type":51,"tag":116,"props":181,"children":182},{},[183,188],{"type":51,"tag":92,"props":184,"children":185},{},[186],{"type":57,"value":187},"Model changed",{"type":57,"value":189}," – compare the model distribution before and after.",{"type":51,"tag":116,"props":191,"children":192},{},[193,198,200,206],{"type":51,"tag":92,"props":194,"children":195},{},[196],{"type":57,"value":197},"Cache hit rate dropped",{"type":57,"value":199}," – compare ",{"type":51,"tag":71,"props":201,"children":203},{"className":202},[],[204],{"type":57,"value":205},"$ai_cache_read_input_tokens",{"type":57,"value":207}," as a share of input\ntokens. A system-prompt edit invalidates the cache prefix and multiplies input cost with no\nchange to model, token count, or generation count, so every other check here comes back\nclean while the bill climbs. Check it early.",{"type":51,"tag":116,"props":209,"children":210},{},[211,216],{"type":51,"tag":92,"props":212,"children":213},{},[214],{"type":57,"value":215},"Prompt grew",{"type":57,"value":217}," – compare median input tokens per generation.",{"type":51,"tag":116,"props":219,"children":220},{},[221,226,228,234],{"type":51,"tag":92,"props":222,"children":223},{},[224],{"type":57,"value":225},"Retries",{"type":57,"value":227}," – compare generations per conversation, and check ",{"type":51,"tag":71,"props":229,"children":231},{"className":230},[],[232],{"type":57,"value":233},"$ai_is_error",{"type":57,"value":235}," on the same\ngeneration stream.",{"type":51,"tag":116,"props":237,"children":238},{},[239,244],{"type":51,"tag":92,"props":240,"children":241},{},[242],{"type":57,"value":243},"Output grew",{"type":57,"value":245}," – compare median output tokens.",{"type":51,"tag":116,"props":247,"children":248},{},[249,251,257,259,265,267,273],{"type":57,"value":250},"If retries look like the cause, confirm the failures actually cost money. A 429 rejection\nbills nothing; only failures after the provider started generating do – timeouts mid-stream,\n",{"type":51,"tag":71,"props":252,"children":254},{"className":253},[],[255],{"type":57,"value":256},"max_tokens",{"type":57,"value":258}," truncation, malformed tool output, guardrail rejections. Check ",{"type":51,"tag":71,"props":260,"children":262},{"className":261},[],[263],{"type":57,"value":264},"$ai_http_status",{"type":57,"value":266},"\nand ",{"type":51,"tag":71,"props":268,"children":270},{"className":269},[],[271],{"type":57,"value":272},"$ai_stop_reason",{"type":57,"value":274},", and confirm the failed generations carry non-zero cost before calling\nretries the cause.",{"type":51,"tag":116,"props":276,"children":277},{},[278],{"type":57,"value":279},"Name the most likely cause in the report. A cost report without a cause is just an invoice.",{"type":51,"tag":116,"props":281,"children":282},{},[283],{"type":57,"value":284},"Where a deploy sits in the window, include the commit range.",{"type":51,"tag":80,"props":286,"children":288},{"id":287},"disqualifiers",[289],{"type":57,"value":290},"Disqualifiers",{"type":51,"tag":112,"props":292,"children":293},{},[294,299,304,309,314,319],{"type":51,"tag":116,"props":295,"children":296},{},[297],{"type":57,"value":298},"Conversation volume moved as much as cost did – that's growth.",{"type":51,"tag":116,"props":300,"children":301},{},[302],{"type":57,"value":303},"The change is a deliberate, announced model upgrade.",{"type":51,"tag":116,"props":305,"children":306},{},[307],{"type":57,"value":308},"The change follows a deliberate caching-strategy change – a shortened prefix or a switched\ncache TTL raises unit cost on purpose.",{"type":51,"tag":116,"props":310,"children":311},{},[312],{"type":57,"value":313},"The provider changed its prices. This scout does not watch price lists, so confirm the\nper-token rate is unchanged before attributing a rise to your own code.",{"type":51,"tag":116,"props":315,"children":316},{},[317],{"type":57,"value":318},"The window covers a backfill, replay, or eval run rather than real traffic.",{"type":51,"tag":116,"props":320,"children":321},{},[322],{"type":57,"value":323},"The feature is new enough that there's no stable norm to compare against.",{"items":325,"total":501},[326,341,353,366,379,394,408,424,442,459,474,486],{"slug":327,"name":327,"fn":328,"description":329,"org":330,"tags":331,"stars":338,"repoUrl":339,"updatedAt":340},"analyzing-expensive-users","analyze expensive users in AI observability","Analyze the most expensive users in AI observability and explain why they cost so much. Use when the user asks about top spenders, expensive users, per-user LLM cost, user-level cost drivers, or patterns behind high AI observability spend.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[332,335,336,337],{"name":333,"slug":334,"type":15},"Analytics","analytics",{"name":24,"slug":25,"type":15},{"name":13,"slug":14,"type":15},{"name":9,"slug":8,"type":15},35568,"https:\u002F\u002Fgithub.com\u002FPostHog\u002Fposthog","2026-08-10T04:16:25.279222",{"slug":342,"name":342,"fn":343,"description":344,"org":345,"tags":346,"stars":338,"repoUrl":339,"updatedAt":352},"auditing-endpoints","audit PostHog project endpoints","Audit every endpoint in a PostHog project for staleness, failed materialisations, and unused materialised versions. Use when the user asks \"what endpoints can I clean up?\", \"are any of my endpoints broken?\", \"which materialised versions are still being called?\", or wants a one-shot cleanup pass over the Endpoints product. Produces a prioritised report grouped by issue type, with recommended actions but does not modify anything without explicit confirmation.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[347,348,351],{"name":333,"slug":334,"type":15},{"name":349,"slug":350,"type":15},"Audit","audit",{"name":9,"slug":8,"type":15},"2026-06-08T08:08:33.693989",{"slug":354,"name":354,"fn":355,"description":356,"org":357,"tags":358,"stars":338,"repoUrl":339,"updatedAt":365},"auditing-warehouse-source-health","audit PostHog data warehouse source health","Audit the health of a PostHog project's data warehouse sources and syncs — find every broken or degraded source connection, sync schema, and webhook channel. Use when the user asks \"why are my imports failing?\", \"what's broken with my sources?\", \"why is my warehouse data stale?\", or wants a one-shot triage of source\u002Fsync health before deciding where to dig in. Produces a prioritized report grouped by severity, with recommended next steps. For materialized-view health use `auditing-warehouse-view-health`; for a single failing sync use `diagnosing-failed-warehouse-syncs`.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[359,360,363,364],{"name":349,"slug":350,"type":15},{"name":361,"slug":362,"type":15},"Data Warehouse","data-warehouse",{"name":13,"slug":14,"type":15},{"name":9,"slug":8,"type":15},"2026-06-18T08:22:57.67984",{"slug":367,"name":367,"fn":368,"description":369,"org":370,"tags":371,"stars":338,"repoUrl":339,"updatedAt":378},"auditing-warehouse-view-health","audit PostHog materialized view health","Audit the health of a PostHog project's materialized views (saved queries) — find every failed materialization and flag unused or stale materialized views that cost storage and compute. Use when the user asks \"which of my views are broken?\", \"why is this materialized view failing?\", \"are any of my views wasting compute?\", or wants a one-shot triage of view health. For source\u002Fsync health use `auditing-warehouse-source-health`.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[372,373,374,377],{"name":349,"slug":350,"type":15},{"name":361,"slug":362,"type":15},{"name":375,"slug":376,"type":15},"Performance","performance",{"name":9,"slug":8,"type":15},"2026-06-18T08:25:10.936787",{"slug":380,"name":380,"fn":381,"description":382,"org":383,"tags":384,"stars":338,"repoUrl":339,"updatedAt":393},"authoring-error-tracking-alerts","author PostHog error tracking alerts","Author error tracking alerts that fire when an issue is created, reopened, or starts spiking. Use when the user asks to set up error notifications, route exceptions to Slack\u002Fwebhook\u002FLinear, or evaluate which error events are worth alerting on. Covers trigger-event selection, integration choice, dedup against existing alerts, and shipping with the canonical message body shape.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[385,388,391,392],{"name":386,"slug":387,"type":15},"Alerting","alerting",{"name":389,"slug":390,"type":15},"Debugging","debugging",{"name":13,"slug":14,"type":15},{"name":9,"slug":8,"type":15},"2026-06-18T08:24:40.318583",{"slug":395,"name":395,"fn":396,"description":397,"org":398,"tags":399,"stars":338,"repoUrl":339,"updatedAt":407},"authoring-log-alerts","author log alerts in PostHog","Author useful, low-noise log alerts on services in a PostHog project. Use when the user asks to set up alerts for their logs, suggest alerts they should add, or evaluate whether a service is worth monitoring. Covers service triage, baseline characterisation, threshold drafting, back-testing via simulate, and shipping with a notification destination.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[400,401,402,403,406],{"name":333,"slug":334,"type":15},{"name":21,"slug":22,"type":15},{"name":13,"slug":14,"type":15},{"name":404,"slug":405,"type":15},"Operations","operations",{"name":9,"slug":8,"type":15},"2026-07-18T05:10:54.430898",{"slug":409,"name":409,"fn":410,"description":411,"org":412,"tags":413,"stars":338,"repoUrl":339,"updatedAt":423},"building-canvases","create and edit PostHog canvases","Create or edit a PostHog canvas — a sandboxed browser application (data board, document, form, small tool, graphics experiment) stored in PostHog and rendered by the desktop\u002Fweb app. Use when a task asks to build, generate, update, or fix a canvas, or when a canvas id is given as the publish target. Covers resolving or creating the target canvas, choosing an implementation approach (React + Quill vs plain HTML\u002Fbrowser APIs), the read → edit → validate → publish → build loop, and which companion canvas skills to load for the details.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[414,417,419,420],{"name":415,"slug":416,"type":15},"Automation","automation",{"name":418,"slug":32,"type":15},"Design",{"name":9,"slug":8,"type":15},{"name":421,"slug":422,"type":15},"Prototyping","prototyping","2026-08-06T06:09:29.946969",{"slug":425,"name":425,"fn":426,"description":427,"org":428,"tags":429,"stars":338,"repoUrl":339,"updatedAt":441},"building-html-canvases","author HTML and CSS PostHog canvases","Author a PostHog canvas with semantic HTML, CSS, and direct browser APIs — documents, articles, generative graphics, 2D canvas and WebGL experiences, and focused experiments where React components add no useful structure. Use after building-canvases has routed a canvas request to a plain-HTML\u002Fbrowser-API implementation. Covers the thin component wrapper the current runtime requires, styling and theming without Quill, drawing surfaces, and animation\u002Fcleanup patterns.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[430,433,434,437,440],{"name":431,"slug":432,"type":15},"CSS","css",{"name":418,"slug":32,"type":15},{"name":435,"slug":436,"type":15},"Graphics","graphics",{"name":438,"slug":439,"type":15},"HTML","html",{"name":9,"slug":8,"type":15},"2026-08-06T06:09:30.313848",{"slug":443,"name":443,"fn":444,"description":445,"org":446,"tags":447,"stars":338,"repoUrl":339,"updatedAt":458},"building-react-quill-canvases","build React and Quill canvases","Author the React + Quill implementation of a PostHog canvas: the single-component contract, the allowed imports, Quill (PostHog's design system) component and composition rules, theme-aware design tokens, loading skeletons, and the in-canvas date picker. Use after building-canvases has routed a canvas request to a React implementation — dashboards, data boards, forms, tools, or any canvas that should look native to PostHog.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[448,449,452,455],{"name":418,"slug":32,"type":15},{"name":450,"slug":451,"type":15},"Frontend","frontend",{"name":453,"slug":454,"type":15},"React","react",{"name":456,"slug":457,"type":15},"UI Components","ui-components","2026-08-06T06:09:18.633724",{"slug":460,"name":460,"fn":461,"description":462,"org":463,"tags":464,"stars":338,"repoUrl":339,"updatedAt":473},"building-workflows","build and edit PostHog workflows","Build, edit, test, enable, and monitor PostHog workflows over MCP. Author the action\u002Fedge graph so it runs and opens cleanly in the visual editor, then change drafts surgically with patch operations. Use when asked to build, set up, automate, change, fix, or debug a workflow, campaign, broadcast, drip sequence, or event-triggered automation in the workflows product.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[465,466,469,470],{"name":415,"slug":416,"type":15},{"name":467,"slug":468,"type":15},"MCP","mcp",{"name":9,"slug":8,"type":15},{"name":471,"slug":472,"type":15},"Workflow Automation","workflow-automation","2026-08-10T04:16:26.294119",{"slug":475,"name":475,"fn":476,"description":477,"org":478,"tags":479,"stars":338,"repoUrl":339,"updatedAt":485},"check-posthog-loading","inspect PostHog SDK loading across URLs","Inspect how the PostHog JavaScript SDK is loaded across a list of URLs. Use to confirm consistent installation across pages, find pages missing the snippet, detect mismatched API keys or hosts between pages, and verify the load method (head snippet vs deferred vs array.js).\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[480,481,482,483,484],{"name":333,"slug":334,"type":15},{"name":389,"slug":390,"type":15},{"name":450,"slug":451,"type":15},{"name":13,"slug":14,"type":15},{"name":9,"slug":8,"type":15},"2026-05-07T05:56:19.828048",{"slug":487,"name":487,"fn":488,"description":489,"org":490,"tags":491,"stars":338,"repoUrl":339,"updatedAt":500},"consuming-endpoints-from-client-code","integrate PostHog endpoints into client applications","Wire a PostHog endpoint into a client app or SDK. Covers fetching the OpenAPI spec, generating a typed client with openapi-generator or @hey-api\u002Fopenapi-ts, sending the right auth header, shaping the variables payload (HogQL code_name vs insight breakdown property), handling rate-limit and materialised-endpoint error responses. Use when the user says \"how do I call my endpoint\", \"generate a client for this\", or \"what auth header do I use\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[492,495,496,497],{"name":493,"slug":494,"type":15},"API Development","api-development",{"name":450,"slug":451,"type":15},{"name":9,"slug":8,"type":15},{"name":498,"slug":499,"type":15},"SDK","sdk","2026-06-08T08:08:34.929454",248,{"items":503,"total":549},[504,512,527,538],{"slug":4,"name":4,"fn":5,"description":6,"org":505,"tags":506,"stars":26,"repoUrl":27,"updatedAt":28},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[507,508,509,510,511],{"name":24,"slug":25,"type":15},{"name":18,"slug":19,"type":15},{"name":21,"slug":22,"type":15},{"name":13,"slug":14,"type":15},{"name":9,"slug":8,"type":15},{"slug":513,"name":513,"fn":514,"description":515,"org":516,"tags":517,"stars":26,"repoUrl":27,"updatedAt":526},"signals-scout-flag-debt","identify and remove stale feature flags","Finds feature flags whose decision is over but which are still evaluated in production – terminal rollouts left in place, or keys that no longer appear in any connected repo.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[518,521,522,523],{"name":519,"slug":520,"type":15},"Feature Flags","feature-flags",{"name":13,"slug":14,"type":15},{"name":9,"slug":8,"type":15},{"name":524,"slug":525,"type":15},"Tech Debt","tech-debt","2026-08-10T04:45:50.019808",{"slug":528,"name":528,"fn":529,"description":530,"org":531,"tags":532,"stars":26,"repoUrl":27,"updatedAt":537},"signals-scout-silent-failure","detect and diagnose silent application failures","Watches the completion rate of one named core action for breaks from its own norm, and reports the likely cause – with swallowed exceptions as the first thing it looks for.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[533,534,535,536],{"name":389,"slug":390,"type":15},{"name":21,"slug":22,"type":15},{"name":13,"slug":14,"type":15},{"name":9,"slug":8,"type":15},"2026-08-10T04:45:56.482808",{"slug":539,"name":539,"fn":540,"description":541,"org":542,"tags":543,"stars":26,"repoUrl":27,"updatedAt":548},"signals-scout-your-scout","configure PostHog signal scouts","What this scout watches and the condition under which it files a report.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[544,545,546,547],{"name":415,"slug":416,"type":15},{"name":21,"slug":22,"type":15},{"name":13,"slug":14,"type":15},{"name":9,"slug":8,"type":15},"2026-08-10T04:45:49.295902",4]