metrics
metrics is a Product analytics & metrics skill for AI agents, published by google-gemini in the gemini-cli repository on GitHub. Skillspace rates metrics D (65/100) and it passed the safety scan; a judge model has also reviewed it.
Expertise in analyzing time-series repository health metrics, investigating root causes, and proposing proactive workflow improvements.
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 106,957
Placed #6 of 6 in the judged category final for Product analytics & metrics.
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
- 94 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #6 of 6 in the judged category final for Product analytics & metrics.
- Trigger
55 55 - Instructions
88 88 - Specificity
82 82 - Safety
85 85 - Disclosure
75 75 - Maintenance
78 78
A rigorous, actor-aware root-cause-analysis phase for repo health metrics with careful LLM/deterministic role separation, though its own trigger description is generic expertise-speak.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- 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
Also published in 1 other repo
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