Skill audit report
audit-risk-assessment Audit report.
基于 ISA 315 (Revised 2019) 框架执行审计计划阶段的风险评估。当用户需要 (1) 制定审计计划 (2) 识别重大错报风险 (3) 评估内部控制 (4) 确定重要性水平 (5) 设计审计策略 时使用。输出结构化风险评估文档。
OpenAgentSkill Trust Score
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
37 GitHub stars
Stars/forks activity
WARN43
37 stars, 2 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
Pushed today
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 guoliang1114-boop/AriaAI --skill audit-risk-assessment
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS86
filesystem or document access
Repository evidence
PASS86
https://github.com/guoliang1114-boop/AriaAI/tree/main/skills/audit-risk-assessment
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install and adoption review
Install path
92
npx skills add guoliang1114-boop/AriaAI --skill audit-risk-assessment
Repository
88
https://github.com/guoliang1114-boop/AriaAI/tree/main/skills/audit-risk-assessment
License
86
MIT
Maintenance
100
Pushed today
AI review
88
Approved with no listed issues
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
86
filesystem or document access
Stars/forks activity
43
37 stars, 2 forks; issue activity unavailable in current metadata
Adoption
42
37 GitHub stars
Warnings
- Low GitHub adoption signal
- Quality score needs review
- GitHub adoption: 37 GitHub stars
- Stars/forks activity: 37 stars, 2 forks; issue activity unavailable in current 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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