Docs check
45 production-grade AI agent skills for real dev workflows. Code review, shipping, docs, git. Works with any skill-compatible agent.
npx -y skills add mgiovani/cc-arsenal --skill docs-checkAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 6 stars6 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
Copied from the file, not written here
Read-only audit of documentation against the current codebase, flags stale docs, missing sections, broken links, and hallucinated claims (wrong file references, wrong counts, diagram entities that don't exist in code). Use for "check the docs", "audit documentation", "are the docs stale", "find hallucinations in docs", "docs health check", "does this doc still match the code", or before onboarding/release. Reports only, never edits files, for actually fixing or regenerating docs use docs-update instead.
SKILL.md
7.1 KB, as published. Nobody here has run it
Check Documentation Quality
Audit documentation freshness, completeness, and quality against the current codebase state. Read-only: never edit or write to any doc file.
Anti-Hallucination Detection
This skill exists to catch docs that lie. For every claim in a doc, verify it against the actual codebase rather than trusting the doc text:
- Cross-reference claims: component/service names, described relationships
- Verify counts: if a doc says "5 services", count the actual services
- Check file references: confirm every referenced path exists
- Validate diagrams: every Mermaid entity must exist in real code
Workflow
Phase 1: Scan docs/
- Glob all documentation files (
docs/,docs/adr/,docs/rfc/, top-levelREADME.md,CONTRIBUTING.md). - Infer focus categories from the filenames actually present: don't assume a fixed set. A repo with
docs/data-model.mdgets a "data" category; one withdocs/deployment.mdanddocs/docker-compose.ymldocs gets "infrastructure"; group whatever's there under a name that matches its content. If the user names a focus that doesn't match anything found, say so and list the categories that do exist instead of silently no-op'ing. - Detect tech stack, database presence, deployment configs, and project type from the codebase (package files, Dockerfiles, etc.) to know what documentation should exist.
Phase 2: Parse arguments
Extract an optional focus keyword from the invocation and match it against the categories found in Phase 1. No argument means check everything found.
Phase 3: Verify claims against the codebase
For a small doc set (a handful of files, or a one-shot check like "does this file exist"), verify directly inline with Read/Grep/Glob/git: spawning a subagent for a single lookup adds latency for no benefit.
For a large multi-doc audit (a full docs/ tree, many ADRs, cross-referencing several files against the codebase), spawn one Explore subagent per document or logical section so each verifies its claims independently. Where no Task tool is available, fall back to processing each document sequentially inline instead: same verification steps, one document at a time, no parallelism. See references/verification-patterns.md for section-level verification patterns and bash commands.
Verification categories: component/service names, numeric counts, diagram entities, file/path references, technology claims (against package files), relationship claims.
Phase 4: Validation checks
Relevance: which docs are relevant given the detected stack; what's missing for detected technologies.
Freshness: compare each doc's last-modified date (git log) against related code changes. A doc untouched since before a significant change to the code it describes is stale.
Completeness: required sections present, no unreplaced {{PLACEHOLDER}} values, diagrams present where expected.
Quality: valid Mermaid syntax, no broken internal links, no empty sections.
See references/verification-patterns.md for the exact commands.
Phase 5: Rate each document
Skip numeric scoring: a 0-100 breakdown per doc implies precision this check doesn't have. Give each document one coarse rating instead:
- Good: current, complete, no broken links or invalid diagrams
- Stale: accurate but outdated (freshness or completeness gaps, no false claims)
- Broken: contains hallucinations, broken links, or invalid Mermaid syntax
- Missing: expected given the detected stack but doesn't exist
See references/scoring-criteria.md for the full rubric per rating.
Phase 6: Generate report
- Status summary with counts per rating
- Documents grouped by rating (Good / Stale / Broken / Missing)
- Hallucination Report: claims that don't match reality, with evidence
- Quality issues with specific file:line locations
- Actionable recommendations naming a specific follow-up command (docs-update, docs-diagram) and why
Output Format
Status Summary
Documentation Health Report
Good (3 docs):
docs/architecture.md
docs/onboarding.md
docs/adr/ (5 records)
Stale (2 docs):
docs/data-model.md — last updated 2025-03-01, schema changed 2025-06-15
docs/deployment.md — references removed staging environment
Broken (1 doc):
docs/architecture.md — Hallucination: claims "6 microservices", 3 found
Missing (1 doc, expected for detected stack):
docs/security.md — auth code present, no security doc
Hallucination Report
Hallucinations Detected:
docs/architecture.md:
- Line 45: Claims "6 microservices" but only 3 found
Verified with: find . -name "*service*" -type d | wc -l -> 3
- Line 78: References "AuthService" which doesn't exist
Verified with: grep -r "class AuthService" . -> no results
Recommendations Format
Priority Recommendations:
1. HIGH: docs/architecture.md claims 6 microservices, only 3 exist
Command: docs-update architecture
Reason: hallucinated count, misleads new engineers
2. MEDIUM: docs/data-model.md has 2 unreplaced {{PLACEHOLDER}} values
Command: docs-update data-model
Reason: incomplete since scaffolding
3. LOW: docs/security.md missing, auth module exists
Command: docs-diagram security or docs-init security
Reason: no security documentation for an app with auth
Usage Examples
docs-check # check everything found in docs/
docs-check core # focus on whatever category maps to "core" in this repo
docs-check focus on database documentation
Important Notes
- Non-destructive: only reads, never modifies documentation.
- Every number reported (counts, dates, "N days stale") must come from a command actually run in this session: never estimate or infer a count without running find/grep/git for it.
- Recommends
docs-updateordocs-diagramas the fix: this skill only reports.
When to Run
- Before onboarding new team members
- During documentation reviews
- After major refactoring
- As part of a pre-release checklist
- When documentation feels stale
Additional Resources
- references/verification-patterns.md: load when running Phase 3/4 verification, for exact bash/grep patterns and the subagent prompt templates
- references/scoring-criteria.md: load when assigning Phase 5 ratings, for the full Good/Stale/Broken/Missing rubric