context-audit
context-audit is a Context window & token budget skill for AI agents, published by mifunedev in the openharness repository on GitHub. Skillspace rates context-audit D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Score the default-loaded context budget across 4 dimensions and emit KEEP/TRIM/DEMOTE/CUT verdicts per file. Optional Tier-2 ablation harness removes a target file, runs a fixed probe suite, and measures behavior degradation — the only provably safe gate for cutting load-bearing content. TRIGGER when: asked to audit context window, check default context load, "what's in my context", evaluate rules for signal vs noise, or before/after any change to .oh/context/ or CLAUDE.md.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 24
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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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