agentic-legibility
agentic-legibility is a Codebase mapping & onboarding skill for AI agents, published by openai in the build-hours repository on GitHub. Skillspace rates agentic-legibility B (81/100) and it passed the safety scan; the rating is based on static analysis only.
Score a repository's agentic legibility from repo-visible evidence only. Use when Codex needs to audit how easy a codebase is for coding agents to discover, bootstrap, validate, and navigate, especially for harness-engineering reviews, developer-experience audits, repo cleanup, or before/after comparisons after improving docs, tooling, or architectural constraints.
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- GitHub stars
- 815
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
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 2 other repositories, in 0 collections
- Scope
- Portable: works in any project. Generic repo-legibility scoring rubric for any codebase
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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