doc-freshness-review
Use when auditing repository documentation for drift, stale statements, broken references, or README mismatches, especially across published docs under `doc/` and key entry surfaces such as `README.md` (English default), `README.zh-CN.md`, `mcp/README.md`, and `mcp/README.zh-CN.md` during periodic m…
Install / Use
npx skills add TencentCloudBase/CloudBase-AI-Toolkit --skill doc-freshness-reviewInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Content & MediaSupported Platforms
Our assessment of doc-freshness-review
doc-freshness-review scores 81/100 on our quality scale, 1008th of 1,200 Content & Media skills we index.
Its SKILL.md is 4.1 KB long, well organised into 12 sections and no code examples: a solid amount of guidance for an agent.
With 1,124 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 9 days ago, so doc-freshness-review is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
doc-freshness-review compared with similar skills
All 4 of these similar skills score higher than doc-freshness-review; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| doc-freshness-review (this skill)by TencentCloudBase | 81 | 1.1k | 9d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 89.8k | 18d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 74.4k | today | CLAUDE.md |
| CowAgentby zhayujie | 100 | 47.2k | today | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 85.4k | today | MCP Server |
Frequently asked questions
- How do I install doc-freshness-review?
- Run
npx skills add TencentCloudBase/CloudBase-AI-Toolkit --skill doc-freshness-review. The install tabs above show the steps for each supported agent. - Which AI agents does doc-freshness-review work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is doc-freshness-review safe to use?
- It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is doc-freshness-review still maintained?
- The repository was last updated 9 days ago, so doc-freshness-review is actively maintained.
Skill content
View source on GitHubname: doc-freshness-review
description: Use when auditing repository documentation for drift, stale statements, broken references, or README mismatches, especially across published docs under doc/ and key entry surfaces such as README.md (English default), README.zh-CN.md, mcp/README.md, and mcp/README.zh-CN.md during periodic maintenance or before preparing corrective PRs.
alwaysApply: false
Documentation Freshness Review
Review whether repository documentation still matches the current code, generated assets, and published entry points.
When to use this skill
Use this skill when you need to:
- Audit published documentation under
doc/for stale or wrong statements - Check whether
README.md,README.zh-CN.md,mcp/README.md, ormcp/README.zh-CN.mddrifted away from current behavior - Verify that linked scripts, files, commands, and workflows still exist and still match the repo
- Run a periodic docs health check before opening corrective PRs
- Separate mechanical doc drift from product ambiguity that still needs human confirmation
Do NOT use for:
- Marketing copy polish without a freshness or correctness question
- API contract review that depends on CloudBase control-plane docs first
- Feature planning or architecture design
- Rewriting large docs from scratch when the main need is a targeted drift audit
Workflow
Phase 1 — Scope the surfaces
- Read
references/review-scope.mdfirst. - Build the audit surface in two groups:
- published documentation under
doc/ - README surfaces such as
README.md,README.zh-CN.md, andmcp/README.md
- published documentation under
- Note which code, scripts, generated files, or workflows those docs claim to describe.
Phase 2 — Evidence-based comparison
- Verify whether referenced files, scripts, commands, and workflow names still exist.
- Compare the docs against the current implementation, generated outputs, and source-of-truth files.
- Mark each mismatch as one of:
- stale statement
- missing or stale reference
- outdated command
- drift between published docs and README surfaces
- drift between docs and actual implementation
Phase 3 — Severity and action
- Prefer concrete findings with exact file paths and the smallest useful rewrite direction.
- If the fix is mechanical and low-risk, prepare the doc updates for a focused PR.
- If the docs may be wrong because product behavior is unclear, write a report and issue instead of guessing.
- If the drift originates from a CloudBase API contract problem, hand off to
api-contract-reviewbefore updating the prose.
Phase 4 — Follow-through
- Keep report sections separate for:
- published documentation
- README surfaces
- broken or missing references
- Prefer one focused PR per coherent doc drift batch.
- Route open-PR repair work to
pr-review-fixafter the doc finding is confirmed.
Routing
| Task | Read |
| --- | --- |
| Review docs and README freshness scope | references/review-scope.md |
| Review CloudBase API contract drift before changing related prose | api-contract-review |
| Fix an already-open PR after confirming the doc drift | pr-review-fix |
Evaluation prompts
Should-trigger
- Audit
doc/and the main README files for stale commands, missing files, and broken references. - Review whether
mcp/README.mdstill matches the current MCP tool behavior and linked files. - Help me prepare a corrective PR for docs that still reference scripts or workflows that no longer exist.
Should-not-trigger
- Review this TypeScript module for runtime validation gaps.
- Compare CloudBase action parameters against the official control-plane docs.
- Write a brand-new tutorial for a feature that does not exist yet.
Minimum self-check
- Did I separately review published documentation and README surfaces?
- Can I point to exact file paths for every stale or broken reference?
- Did I compare the docs against current code, scripts, and generated outputs instead of relying on memory?
- If I recommend a fix, is it a small, reviewable doc batch suitable for a PR?
- If the underlying product behavior was unclear, did I stop at report or issue instead of rewriting confidently?
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
