doc-freshness-review

doc-freshness-review is a Docs quality & drift control skill for AI agents, published by TencentCloudBase in the CloudBase-MCP repository on GitHub. Skillspace rates doc-freshness-review C (74/100) and it passed the safety scan; the rating is based on static analysis only.

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`, `README-EN.md`, `README-ZH.md`, and `mcp/README.md` during periodic maintenance or before preparing corrective PRs.

Grade
C
Quality
74 / 100
Safety
Passed
GitHub stars
1,050

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubTencentCloudBase/CloudBase-MCP

Our review

Architecture
100 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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