Skill audit report

Mianshiya audit report.

持续维护的企业面试题库网站,帮你拿到满意 offer!⭐️ 2026年最新Java面试题、前端面试题、AI大模型面试题、AI Agent面试题、RAG面试题、C++面试题、Go面试题、Python面试题、测试面试题、运维面试题、后端面试题、操作系统面试题、计算机网络面试题、Redis面试题、MySQL数据库面试题、算法面试题、Spring面试题、JVM面试题、Java并发面试题、Linux面试题、LLM面试题、Prompt工程面试题、系统设计面试题等1万多道高频程序员求职必备八股文。面试刷题就选面试鸭 💎 React 前端 + Node 后端 + 云开发全栈项目 by 程序员鱼皮

VERIFIED · ALLOWSafe to tryGenerated Jun 16, 2026Heuristic metadata audit
93
Audit
92
Trust
99
Quality
96
Security
76
Maintain
92
Install

OpenAgentSkill Trust Score

92
Production candidate

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

PASS

94

5.5K GitHub stars

Recent maintenance

INFO

76

4mo since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

PASS

90

Metadata includes enough usage and workflow context

Dependency risk

PASS

82

database surface

Install availability

PASS

92

npx skills add liyupi/mianshiya

Repository evidence

PASS

86

https://github.com/liyupi/mianshiya

Review status

PASS

88

AI review data available

Checks

Install and adoption review

7 passed · 1 review

Install path

92

PASS

npx skills add liyupi/mianshiya

Repository

88

PASS

https://github.com/liyupi/mianshiya

License

86

PASS

MIT

Maintenance

76

CHECK

4mo since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

90

PASS

Usable description available

Dependency risk

82

PASS

database surface

Adoption

88

PASS

5.5K GitHub stars

Warnings

No major warnings detected from available metadata.

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.

Compare nearby options

Related skills to audit next