behavioral-evals
behavioral-evals is an LLM evaluation & observability skill for AI agents, published by google-gemini in the gemini-cli repository on GitHub. Skillspace rates behavioral-evals C (71/100) and it passed the safety scan; a judge model has also reviewed it.
Guidance for creating, running, fixing, and promoting behavioral evaluations. Use when verifying agent decision logic, debugging failures, debugging prompt steering, or adding workspace regression tests.
- Grade
- C
- Quality
- 71 / 100
- Safety
- Passed
- GitHub stars
- 106,957
Placed #6 of 6 in the judged category final for LLM evaluation & observability.
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
- Structured: ships references or scripts
- 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 LLM evaluation & observability.
- Trigger
78 78 - Instructions
78 78 - Specificity
65 65 - Safety
85 85 - Disclosure
90 90 - Maintenance
40 40
Clean decision-tree structure with real reference-file delegation, seriously undercut by a canonical link hardcoded to one developer's personal machine path.
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
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