scoring
scoring is a Skill evaluation & testing skill for AI agents, published by xiaolai in the nlpm repository on GitHub. Skillspace rates scoring B (80/100) and it passed the safety scan; the rating is based on static analysis only.
Use when scoring NL artifact quality, applying penalties, or calibrating lint judgment — contains the 100-point rubric with penalty tables per artifact type. Four worked calibration examples (Excellent Agent / Rewrite Agent / Excellent Rule / Weak Rule) live in `references/calibration-examples.md`, loaded on demand when anchoring borderline cases.
- Grade
- B
- Quality
- 80 / 100
- Safety
- Passed
- GitHub stars
- 91
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
- 99 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- ISC
- 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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