human-eval-design
human-eval-design is an LLM evaluation & observability skill for AI agents, published by Productfculty-aipm in the PM-Copilot-by-Product-Faculty repository on GitHub. Skillspace rates human-eval-design C (73/100) and it passed the safety scan; the rating is based on static analysis only.
Use this skill when the user asks to "design a human evaluation", "human eval process", "annotation guidelines", "how to set up human review of AI outputs", "how to get humans to evaluate AI quality", "build a labeling process", "create annotation criteria", or wants to set up a structured process for humans to evaluate AI output quality.
- Grade
- C
- Quality
- 73 / 100
- Safety
- Passed
- GitHub stars
- 70
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
- 98 / 100
- Maturity
- Basic: a single SKILL.md
- 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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