content-pass
content-pass is a Docs writing & content skill for AI agents, published by HugoRCD in the evlog repository on GitHub. Skillspace rates content-pass D (68/100) and it passed the safety scan; the rating is based on static analysis only.
The daily pass over evlog's written surfaces. Picks the files the scanner ranks worst across the docs, the landing, the package READMEs, the skills, and the AGENTS.md files, reviews them against the content doctrine, applies what holds, and opens one draft PR whose body is the report. Also covers the enrichment half, run when nothing scores badly enough to rewrite, such as the page an index promises and nobody wrote, the integration documented at half its contract, the correction that should have become a rule. Load this when the content-pass schedule fires, or when Hugo asks for a content pass, a docs review, a rewrite of a page, a README, a skill or an AGENTS.md, or what is worth writing next.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 1,850
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
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Not checked yet
- Category is a classifier prediction; no model has read this skill 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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