golden-case
golden-case is an LLM evaluation & observability skill for AI agents, published by xg-gh-25 in the SwarmAI repository on GitHub. Skillspace rates golden-case F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.
Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.
Add, validate, and promote SwarmAI eval golden cases through a 4-gate quality check (schema/duplicate/non-vacuous/privacy). The ONLY sanctioned path to modify the golden set — keeps cases from being 太随便. ADD lands private by default; PROMOTE runs the privacy gate before a case ships public. TRIGGER: "add golden case", "new eval case", "promote case to public", "validate golden set". NOT FOR: running eval (use eval_runner), s_self-evolution governance rules.
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 23
Unproven: rated by static analysis only, not yet compared head-to-head.
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.
Our review
- Architecture
- 94 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- High-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- dynamic code execution (eval/exec)
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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