benchmark-experiment
benchmark-experiment is a Model training & evaluation skill for AI agents, published by moj-analytical-services in the uk_address_matcher repository on GitHub. Skillspace rates benchmark-experiment C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Use when: running benchmark experiments, rebuilding reduced canonical data, comparing persisted benchmark runs, generating replay audits, inspecting overlay charts, or regenerating structural TF loser viewers. Provides exact commands, env vars, artefact paths, and workflow selection for uk_address_matcher experiments.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 69
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 written only for the repository it lives in. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided
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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