benchmark-audit
benchmark-audit is an LLM evaluation & observability skill for AI agents, published by akitaonrails in the llm-coding-benchmark repository on GitHub. Skillspace rates benchmark-audit C (72/100) and it passed the safety scan; the rating is based on static analysis only.
Automatically evaluates an LLM coding benchmark result using a standardized 0-100 rubric across 8 dimensions. Use when a benchmark finishes, when the user asks to evaluate a model, analyze a run's quality, or generate a score for a result. Also activates for 'score', 'evaluate benchmark', 'audit model', or 'analyze result'.
- Grade
- C
- Quality
- 72 / 100
- Safety
- Passed
- GitHub stars
- 224
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
- 84 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- 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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