llm-as-judge
llm-as-judge 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 llm-as-judge 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 "set up LLM as a judge", "write an LLM judge prompt", "automate quality evaluation", "use Claude to evaluate outputs", "build an automated eval", "LLM-based evaluation", or wants to create a scalable automated evaluation system where one LLM grades the outputs of another LLM.
- Grade
- C
- Quality
- 73 / 100
- Safety
- Passed
- GitHub stars
- 70
Unproven: rated by static analysis only, not yet compared head-to-head.
Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it looks like a template or a stub that was never filled in. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided
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
- 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
- Category is a classifier prediction; no model has read this skill 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.