meta-harness
meta-harness is an LLM evaluation & observability skill for AI agents, published by TheodoreGalanos in the aec-bench repository on GitHub. Skillspace rates meta-harness C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Guide an agent through creating or revising a task-world harness, running it against a baseline, reviewing evidence, and preparing a comparison. Use when the user wants to create a harness from prose, compare a candidate harness to an existing one, or investigate verifier/schema gaps.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 35
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 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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