Skill audit report
Review existing test cases (legacy, others', AI) for coverage and executability: build a testable-points baseline, assess independently, revise in place with records. Not for: writing cases from scratch (test-case-writing), pipeline. 审查已有用例（存量/他人/AI 产出）的覆盖与可执行性：先建基准再独立评估，修订留审查记录。不用于：从零写用例、写时自审、流水线。
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
29 GitHub stars
Stars/forks activity
WARN43
29 stars, 6 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
25d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add fishzjp/qa-skills --skill test-case-review
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS88
database access
Repository evidence
PASS86
https://github.com/fishzjp/qa-skills/tree/main/skills/test-case-review
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add fishzjp/qa-skills --skill test-case-review
Repository
88
https://github.com/fishzjp/qa-skills/tree/main/skills/test-case-review
License
86
MIT
Maintenance
100
25d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
84
Usable description available
Dependency risk
90
no major dependency risk hints in public metadata
Install command safety
92
standard package or runtime install path
Permission surface
88
database access
Stars/forks activity
43
29 stars, 6 forks; issue activity unavailable in current metadata
Adoption
42
29 GitHub stars
Warnings
Method
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
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