Skill audit report

DeepAudit audit report.

DeepAudit:人人拥有的 AI 黑客战队,让漏洞挖掘触手可及。国内首个开源的代码漏洞挖掘多智能体系统。小白一键部署运行,自主协作审计 + 自动化沙箱 PoC 验证。支持 Ollama 私有部署 ,一键生成报告。支持中转站。​让安全不再昂贵,让审计不再复杂。

VERIFIED · ALLOWSafe to tryGenerated Jun 16, 2026Heuristic metadata audit
96
Audit
95
Trust
100
Quality
97
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

95
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

6.4K GitHub stars

Recent maintenance

PASS

88

3mo since push

License clarity

PASS

86

AGPL-3.0

README/SKILL.md completeness

PASS

90

Metadata includes enough usage and workflow context

Dependency risk

PASS

90

no major dependency risk hints in public metadata

Install availability

PASS

92

npx skills add lintsinghua/DeepAudit

Repository evidence

PASS

86

https://github.com/lintsinghua/DeepAudit

Review status

PASS

88

AI review data available

Checks

Install and adoption review

8 passed · 0 review

Install path

92

PASS

npx skills add lintsinghua/DeepAudit

Repository

88

PASS

https://github.com/lintsinghua/DeepAudit

License

86

PASS

AGPL-3.0

Maintenance

88

PASS

3mo since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

90

PASS

Usable description available

Dependency risk

90

PASS

no major dependency risk hints in public metadata

Adoption

88

PASS

6.4K 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.

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