Skill audit report
LimApiTest audit report.
由全网6W+粉丝、华为及阿里云测试专家认证博主开发及蚂蚁金服高级测开担任顾问推出的轻量级接口测试平台。Lim是Less is More(少即是多)的缩写，正如它的名字我们希望在开展接口测试时能够“四两拨千斤”！让用户操作更少但开展建设的效率更高。因此我们做了许多交互细节上的优化和创新以及一些大胆的设计。快来试试吧！
OpenAgentSkill Trust Score
Stars, maintenance, license, docs, dependency risk, and installability.
The Trust Score is OpenAgentSkill's adoption layer. It is designed to help an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS86
1.2K GitHub stars
Recent maintenance
INFO62
7mo since push
License clarity
PASS86
Apache-2.0
README/SKILL.md completeness
PASS90
Metadata includes enough usage and workflow context
Dependency risk
PASS82
network or browser surface
Install availability
PASS92
npx skills add qu-niao/LimApiTest
Repository evidence
PASS86
https://github.com/qu-niao/LimApiTest
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add qu-niao/LimApiTest
Repository
88
https://github.com/qu-niao/LimApiTest
License
86
Apache-2.0
Maintenance
62
7mo since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
90
Usable description available
Dependency risk
82
network or browser surface
Adoption
88
1.2K GitHub stars
Warnings
- Quality score needs review
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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