ir:doc-review
ir:doc-review is a Docs quality & drift control skill for AI agents, published by ingo-eichhorst in the Irrlicht repository on GitHub. Skillspace rates ir:doc-review C (73/100) and it passed the safety scan; the rating is based on static analysis only.
Audit all project documentation for understandability, completeness, and validity using objective, binary criteria, then fix every finding directly in place. Filing a GitHub issue is the rare fallback — only for a finding whose fix is genuinely ambiguous or that fails verification after being applied. Every finding is anchored to a quoted location and stamped with a stable ID so independent runs converge. Triggers on "/ir:doc-review", "audit docs", "review documentation", "check the docs", "doc audit". Supports a --report-only dry run that changes nothing and files nothing.
- Grade
- C
- Quality
- 73 / 100
- Safety
- Passed
- GitHub stars
- 88
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.
Our review
- Architecture
- 97 / 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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