[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M699DQTP6AHBCDXTPHMB29S8":3,"skill-same:01M699DQTP6AHBCDXTPHMB29S8":455},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":23,"linkOnly":24,"markdownContent":25,"markdownBody":26,"frontMatter":27,"refName":28,"commitSha":29,"skillDirectory":30,"forksCount":31,"repositoryHtmlUrl":32,"repositoryHomepageUrl":33,"ownerHtmlUrl":34,"ownerBlogUrl":35,"ownerDescription":36,"updatedAt":37,"install":38,"resources":51},"01M699DQTP6AHBCDXTPHMB29S8","docs-grounding-verifier",null,"Use this skill to verify CLAIM-LEVEL grounding of a documentation page (or set of pages) against the source code. Activate when you have specific pages to check for factual accuracy -- not when sweeping a whole corpus (use docs-corpus-audit for that) and not when triaging a PR diff (use docs-sync for that). Trigger nouns: \"is this doc accurate\", \"verify the page against the code\", \"fact-check this section\", \"any claims that drifted from source\", \"fact-checking\", \"grounding audit\", \"drift hunt\", \"claim verification\". Returns per-claim verdicts (GROUNDED | PARTIAL | CONTRADICTED | UNSUPPORTED) with file:line evidence citations. Catches paragraph-level inaccuracies that page-level audit averages over -- e.g. a paragraph with 5 claims where 4 are grounded and 1 is fabricated. Does NOT modify files (returns advisory only); does NOT re-architect the docs; does NOT triage PRs.","microsoft\u002Fapm","microsoft","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F6154722?v=4","01M698VYDXZ6JW5WH3CRV650R8","Microsoft","01M699CC41JR5QW38C9PDX6101",4325,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fapm\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fdocs-grounding-verifier\u002FSKILL.md",[],[19,20,21,22],"docs grounding verifier","docs","verifier","grounding","2026-11-10 10:12:30",false,"---\nname: docs-grounding-verifier\ndescription: 'Use this skill to verify CLAIM-LEVEL grounding of a documentation page (or set of pages) against the source code. Activate when you have specific pages to check for factual accuracy -- not when sweeping a whole corpus (use docs-corpus-audit for that) and not when triaging a PR diff (use docs-sync for that). Trigger nouns: \"is this doc accurate\", \"verify the page against the code\", \"fact-check this section\", \"any claims that drifted from source\", \"fact-checking\", \"grounding audit\", \"drift hunt\", \"claim verification\". Returns per-claim verdicts (GROUNDED | PARTIAL | CONTRADICTED | UNSUPPORTED) with file:line evidence citations. Catches paragraph-level inaccuracies that page-level audit averages over -- e.g. a paragraph with 5 claims where 4 are grounded and 1 is fabricated. Does NOT modify files (returns advisory only); does NOT re-architect the docs; does NOT triage PRs.'\n---\n\n# docs-grounding-verifier\n\nCLAIM-LEVEL grounding verification. Adapts the RAGAS faithfulness-eval\npattern (proven in RAG literature) to docs\u002Fcode instead of generated-\nanswers\u002Fretrieved-context. Source code is the ground truth; docs\nparagraphs are the candidate text under audit.\n\n[python-architect persona](..\u002F..\u002Fpersonas\u002Fpython-architect.persona.md)\n[doc-writer persona](..\u002F..\u002Fpersonas\u002Fdoc-writer.persona.md)\n\n## Sibling contract\n\nThis skill is a SIBLING of `docs-corpus-audit` and `docs-sync`. The\nboundary is load-bearing:\n\n| Skill                  | Trigger                                | Scope            | Granularity     |\n| ---------------------- | -------------------------------------- | ---------------- | --------------- |\n| docs-sync              | PR opened\u002Fsynchronized                 | PR diff only     | Page-level      |\n| docs-corpus-audit      | Maintainer asks for whole-corpus pass  | Entire corpus    | Page-level      |\n| **docs-grounding-verifier** | **Verify specific pages factually**    | **1..N pages**    | **CLAIM-level** |\n\n`docs-corpus-audit` invokes this skill in its VERIFY phase on the\nhighest-risk pages of each wave. `docs-sync` can invoke it on the\nspecific pages in a PR diff. The skill is also runnable standalone.\n\n## When to activate\n\n- Maintainer says \"verify \u003Cpage> against the code\".\n- An audit wave wants per-claim grounding scores for its highest-risk pages.\n- A PR review wants to confirm that prose changes are not just plausible\n  but actually consistent with the implementation.\n- A \"fact-check\" or \"grounding\" or \"drift hunt\" request.\n\n## When NOT to activate\n\n- Whole-corpus sweep with no specific page list -> use `docs-corpus-audit`.\n- PR review with mixed code+docs diff -> use `docs-sync`.\n- Editorial \u002F tone review -> use `editorial-owner` persona directly.\n\n## Architecture (PIPELINE-of-PANELS)\n\n```\nPARENT\n  -> [Stage 1: EXTRACT claims, fan-out PANEL]\n       per page -> LLM extracts atomic factual claims as JSON\n       script: scripts\u002Fextract-claims.py\n  -> [Stage 2: RETRIEVE evidence, deterministic S7]\n       per claim -> grep over src\u002F via keywords + hints\n       script: scripts\u002Fretrieve-evidence.sh   (NO LLM)\n  -> [Stage 3: JUDGE grounding, adversarial A7]\n       per (claim, evidence) -> LLM rules GROUNDED|PARTIAL|CONTRADICTED|UNSUPPORTED\n       asset: assets\u002Fjudge-prompt.md\n  -> [Stage 4: SYNTHESIZE]\n       aggregate ungrounded -> doc-writer for fix\n       re-verify after fix (A8 ALIGNMENT LOOP)\n```\n\nStage 2 is the load-bearing design choice: evidence retrieval is\nDETERMINISTIC (grep + AST hints), not LLM. The judge in Stage 3 can\nonly rule on evidence it actually receives -- it cannot hallucinate\nsupport that the retriever did not find. This is the structural\nguard against the failure mode \"the LLM convinces itself the docs\nmatch the code.\"\n\n## Phase 1: SCOPE\n\nInput: list of page paths to verify (1..N). If a `risk_class` is\nattached (e.g. \"high-stakes\"), prefer it; otherwise treat all as equal.\n\nOut-of-scope:\n- Pages outside `docs\u002Fsrc\u002Fcontent\u002Fdocs\u002F` or\n  `packages\u002Fapm-guide\u002F.apm\u002Fskills\u002Fapm-usage\u002F`.\n- Pages with no factual claims (pure editorial \u002F landing). Skip\n  rather than force-extract.\n\n## Phase 2: EXTRACT (parallel)\n\nFor each page, dispatch ONE claim-extractor agent:\n- Prompt template: `scripts\u002Fextract-claims.py \u003Cpage>` produces the\n  prompt and embeds the page content.\n- Returns: JSON `{\"page\", \"claims\":[{\"id\",\"text\",\"section\",\"keywords\",\n  \"expected_source_areas\"}]}` capped at 15 claims per page.\n\nParallel safe; no shared state between extractors.\n\n## Phase 3: RETRIEVE (deterministic, batched)\n\nFor each claim, pipe to `scripts\u002Fretrieve-evidence.sh`:\n- Uses keywords + expected_source_areas to grep src\u002F.\n- Returns one-line JSON: `{\"claim_id\",\"claim_text\",\"evidence\":[...],\n  \"evidence_count\"}`.\n\nSequential is fine (grep is fast). No LLM. Diagnostics on stderr,\ndata on stdout.\n\n## Phase 4: JUDGE (parallel)\n\nFor each (claim, evidence) tuple, dispatch ONE grounding-judge agent:\n- Load `assets\u002Fjudge-prompt.md`.\n- Send the prompt + the tuple.\n- Returns: JSON verdict per the schema in `judge-prompt.md`.\n\nBatching across claims-of-one-page into a single judge call is fine\n(prompt with all tuples at once). Across pages, fan out.\n\n## Phase 5: SYNTHESIZE\n\nAggregate verdicts. Materialize the report:\n\n```\n{\n  \"summary\": {\n    \"pages_verified\": N,\n    \"claims_total\": N,\n    \"grounded\": N, \"partial\": N, \"contradicted\": N, \"unsupported\": N,\n    \"grounding_rate\": N\u002Ftotal\n  },\n  \"actionable\": [\n    {\"page\", \"claim\", \"verdict\", \"evidence_cited\", \"fix_suggestion\"}\n  ]\n}\n```\n\nCONTRADICTED and PARTIAL are doc-writer work items. UNSUPPORTED is\nsplit: if `retrieval_fix_suggestion` is plausible, retry retrieval\nwith the suggested keywords; if still empty, treat as CONTRADICTED.\n\n## Phase 6: ALIGNMENT LOOP (A8)\n\nHand actionable items to doc-writer (one subagent per page). After\nedits, RE-RUN the pipeline on the same pages. The grounding_rate\nmust MONOTONICALLY INCREASE between iterations or the loop has\ndiverged -- stop and escalate to the operator.\n\n## Ship gate\n\n- grounding_rate >= 0.9 on each verified page after the alignment loop.\n- Every CONTRADICTED claim cited a specific code file:line that\n  disproves it -- not vague \"the code doesn't say that\".\n- The eval-runner (see `evals\u002F`) passes on the trigger evals and\n  the content evals before the skill is treated as production-ready.\n\n## Bundled assets\n\n- `scripts\u002Fextract-claims.py` -- Stage 1 prompt builder. `--help`, `--schema`.\n- `scripts\u002Fretrieve-evidence.sh` -- Stage 2 retriever. Deterministic. `--help`.\n- `scripts\u002Fverify-page.sh` -- end-to-end orchestrator. `--help`.\n- `assets\u002Fjudge-prompt.md` -- Stage 3 adversarial judge prompt.\n- `evals\u002Ftrigger-evals.json` -- 20 dispatch queries (10 should, 10 shouldn't).\n- `evals\u002Fcontent-evals.json` -- seeded-drift recall scenarios.\n- `evals\u002Frun-evals.sh` -- the eval-runner that turns JSON into metrics.\n\n## Failure modes guarded against\n\n- **Hallucinated grounding**: Stage 2 is deterministic; judge sees only\n  real evidence.\n- **Adversarial weakness**: Stage 3 prompt defaults to SKEPTICAL.\n- **Page-level averaging**: claim-level granularity surfaces partials.\n- **Bundle leakage**: design notes \u002F one-time scripts stay in session\n  state, never in `references\u002F`.\n- **Phantom dependency**: SKILL.md links its persona deps via relative\n  paths; A9 PROBE before invoking docs-corpus-audit's substrate.\n- **Dispatch collision** with sibling skills: trigger-eval validation\n  split is the ship gate (must distinguish from docs-sync \u002F\n  docs-corpus-audit triggers).\n","# docs-grounding-verifier\n\nCLAIM-LEVEL grounding verification. Adapts the RAGAS faithfulness-eval\npattern (proven in RAG literature) to docs\u002Fcode instead of generated-\nanswers\u002Fretrieved-context. Source code is the ground truth; docs\nparagraphs are the candidate text under audit.\n\n[python-architect persona](..\u002F..\u002Fpersonas\u002Fpython-architect.persona.md)\n[doc-writer persona](..\u002F..\u002Fpersonas\u002Fdoc-writer.persona.md)\n\n## Sibling contract\n\nThis skill is a SIBLING of `docs-corpus-audit` and `docs-sync`. The\nboundary is load-bearing:\n\n| Skill                  | Trigger                                | Scope            | Granularity     |\n| ---------------------- | -------------------------------------- | ---------------- | --------------- |\n| docs-sync              | PR opened\u002Fsynchronized                 | PR diff only     | Page-level      |\n| docs-corpus-audit      | Maintainer asks for whole-corpus pass  | Entire corpus    | Page-level      |\n| **docs-grounding-verifier** | **Verify specific pages factually**    | **1..N pages**    | **CLAIM-level** |\n\n`docs-corpus-audit` invokes this skill in its VERIFY phase on the\nhighest-risk pages of each wave. `docs-sync` can invoke it on the\nspecific pages in a PR diff. The skill is also runnable standalone.\n\n## When to activate\n\n- Maintainer says \"verify \u003Cpage> against the code\".\n- An audit wave wants per-claim grounding scores for its highest-risk pages.\n- A PR review wants to confirm that prose changes are not just plausible\n  but actually consistent with the implementation.\n- A \"fact-check\" or \"grounding\" or \"drift hunt\" request.\n\n## When NOT to activate\n\n- Whole-corpus sweep with no specific page list -> use `docs-corpus-audit`.\n- PR review with mixed code+docs diff -> use `docs-sync`.\n- Editorial \u002F tone review -> use `editorial-owner` persona directly.\n\n## Architecture (PIPELINE-of-PANELS)\n\n```\nPARENT\n  -> [Stage 1: EXTRACT claims, fan-out PANEL]\n       per page -> LLM extracts atomic factual claims as JSON\n       script: scripts\u002Fextract-claims.py\n  -> [Stage 2: RETRIEVE evidence, deterministic S7]\n       per claim -> grep over src\u002F via keywords + hints\n       script: scripts\u002Fretrieve-evidence.sh   (NO LLM)\n  -> [Stage 3: JUDGE grounding, adversarial A7]\n       per (claim, evidence) -> LLM rules GROUNDED|PARTIAL|CONTRADICTED|UNSUPPORTED\n       asset: assets\u002Fjudge-prompt.md\n  -> [Stage 4: SYNTHESIZE]\n       aggregate ungrounded -> doc-writer for fix\n       re-verify after fix (A8 ALIGNMENT LOOP)\n```\n\nStage 2 is the load-bearing design choice: evidence retrieval is\nDETERMINISTIC (grep + AST hints), not LLM. The judge in Stage 3 can\nonly rule on evidence it actually receives -- it cannot hallucinate\nsupport that the retriever did not find. This is the structural\nguard against the failure mode \"the LLM convinces itself the docs\nmatch the code.\"\n\n## Phase 1: SCOPE\n\nInput: list of page paths to verify (1..N). If a `risk_class` is\nattached (e.g. \"high-stakes\"), prefer it; otherwise treat all as equal.\n\nOut-of-scope:\n- Pages outside `docs\u002Fsrc\u002Fcontent\u002Fdocs\u002F` or\n  `packages\u002Fapm-guide\u002F.apm\u002Fskills\u002Fapm-usage\u002F`.\n- Pages with no factual claims (pure editorial \u002F landing). Skip\n  rather than force-extract.\n\n## Phase 2: EXTRACT (parallel)\n\nFor each page, dispatch ONE claim-extractor agent:\n- Prompt template: `scripts\u002Fextract-claims.py \u003Cpage>` produces the\n  prompt and embeds the page content.\n- Returns: JSON `{\"page\", \"claims\":[{\"id\",\"text\",\"section\",\"keywords\",\n  \"expected_source_areas\"}]}` capped at 15 claims per page.\n\nParallel safe; no shared state between extractors.\n\n## Phase 3: RETRIEVE (deterministic, batched)\n\nFor each claim, pipe to `scripts\u002Fretrieve-evidence.sh`:\n- Uses keywords + expected_source_areas to grep src\u002F.\n- Returns one-line JSON: `{\"claim_id\",\"claim_text\",\"evidence\":[...],\n  \"evidence_count\"}`.\n\nSequential is fine (grep is fast). No LLM. Diagnostics on stderr,\ndata on stdout.\n\n## Phase 4: JUDGE (parallel)\n\nFor each (claim, evidence) tuple, dispatch ONE grounding-judge agent:\n- Load `assets\u002Fjudge-prompt.md`.\n- Send the prompt + the tuple.\n- Returns: JSON verdict per the schema in `judge-prompt.md`.\n\nBatching across claims-of-one-page into a single judge call is fine\n(prompt with all tuples at once). Across pages, fan out.\n\n## Phase 5: SYNTHESIZE\n\nAggregate verdicts. Materialize the report:\n\n```\n{\n  \"summary\": {\n    \"pages_verified\": N,\n    \"claims_total\": N,\n    \"grounded\": N, \"partial\": N, \"contradicted\": N, \"unsupported\": N,\n    \"grounding_rate\": N\u002Ftotal\n  },\n  \"actionable\": [\n    {\"page\", \"claim\", \"verdict\", \"evidence_cited\", \"fix_suggestion\"}\n  ]\n}\n```\n\nCONTRADICTED and PARTIAL are doc-writer work items. UNSUPPORTED is\nsplit: if `retrieval_fix_suggestion` is plausible, retry retrieval\nwith the suggested keywords; if still empty, treat as CONTRADICTED.\n\n## Phase 6: ALIGNMENT LOOP (A8)\n\nHand actionable items to doc-writer (one subagent per page). After\nedits, RE-RUN the pipeline on the same pages. The grounding_rate\nmust MONOTONICALLY INCREASE between iterations or the loop has\ndiverged -- stop and escalate to the operator.\n\n## Ship gate\n\n- grounding_rate >= 0.9 on each verified page after the alignment loop.\n- Every CONTRADICTED claim cited a specific code file:line that\n  disproves it -- not vague \"the code doesn't say that\".\n- The eval-runner (see `evals\u002F`) passes on the trigger evals and\n  the content evals before the skill is treated as production-ready.\n\n## Bundled assets\n\n- `scripts\u002Fextract-claims.py` -- Stage 1 prompt builder. `--help`, `--schema`.\n- `scripts\u002Fretrieve-evidence.sh` -- Stage 2 retriever. Deterministic. `--help`.\n- `scripts\u002Fverify-page.sh` -- end-to-end orchestrator. `--help`.\n- `assets\u002Fjudge-prompt.md` -- Stage 3 adversarial judge prompt.\n- `evals\u002Ftrigger-evals.json` -- 20 dispatch queries (10 should, 10 shouldn't).\n- `evals\u002Fcontent-evals.json` -- seeded-drift recall scenarios.\n- `evals\u002Frun-evals.sh` -- the eval-runner that turns JSON into metrics.\n\n## Failure modes guarded against\n\n- **Hallucinated grounding**: Stage 2 is deterministic; judge sees only\n  real evidence.\n- **Adversarial weakness**: Stage 3 prompt defaults to SKEPTICAL.\n- **Page-level averaging**: claim-level granularity surfaces partials.\n- **Bundle leakage**: design notes \u002F one-time scripts stay in session\n  state, never in `references\u002F`.\n- **Phantom dependency**: SKILL.md links its persona deps via relative\n  paths; A9 PROBE before invoking docs-corpus-audit's substrate.\n- **Dispatch collision** with sibling skills: trigger-eval validation\n  split 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