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!

REVIEWED · REVIEWSafe to tryGenerated Aug 4, 2026Heuristic metadata audit
82
Audit
84
Trust
84
Quality
86
Security
62
Maintain
92
Install

OpenAgentSkill Trust Score

84
Strong shortlist

OpenAgentSkill Trust Score

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

PASS

86

1.2K GitHub stars

Stars/forks activity

INFO

77

1.2K stars, 249 forks; issue activity unavailable in current metadata

Recent maintenance

INFO

62

8mo since push

License clarity

PASS

86

Apache-2.0

README/SKILL.md completeness

PASS

90

Metadata includes enough usage and workflow context

Dependency/runtime risk

PASS

82

network or browser surface

Install availability

PASS

92

npx skills add qu-niao/LimApiTest

Install command safety

PASS

92

standard package or runtime install path

Permission surface

INFO

72

filesystem or document access, network or browser access

Repository evidence

PASS

86

https://github.com/qu-niao/LimApiTest

Review status

PASS

88

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

8 Passed · 4 Needs review

Install path

92

PASS

npx skills add qu-niao/LimApiTest

Repository

88

PASS

https://github.com/qu-niao/LimApiTest

License

86

PASS

Apache-2.0

Maintenance

62

CHECK

8mo since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

90

PASS

Usable description available

Dependency risk

82

PASS

network or browser surface

Install command safety

92

PASS

standard package or runtime install path

Permission surface

72

CHECK

filesystem or document access, network or browser access

Stars/forks activity

77

CHECK

1.2K stars, 249 forks; issue activity unavailable in current metadata

Adoption

88

PASS

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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