Skill audit report
data-analytics-anomaly-detection Audit report.
运用数据分析技术识别异常交易和潜在舞弊，涵盖本福特定律、趋势分析、重复检测和关联方筛查
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
PASS88
2mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
WARN60
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
INFO72
command execution surface
Install availability
PASS92
npx skills add guoliang1114-boop/AriaAI --skill data-analytics-anomaly-detection
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO62
shell or command execution, filesystem or document access
Repository evidence
PASS86
https://github.com/guoliang1114-boop/AriaAI/tree/main/skills/data-analytics-anomaly-detection
Review status
INFO66
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 data-analytics-anomaly-detection
Repository
88
https://github.com/guoliang1114-boop/AriaAI/tree/main/skills/data-analytics-anomaly-detection
License
86
MIT
Maintenance
88
2mo since push
AI review
55
No explicit setup instructions for required Python/R libraries (e.g., pandas, numpy, scipy) or environment configuration.
README/SKILL.md completeness
84
Usable description available
Dependency risk
72
command execution surface
Install command safety
92
standard package or runtime install path
Permission surface
62
shell or command execution, filesystem or document access
Stars/forks activity
43
37 stars, 2 forks; issue activity unavailable in current metadata
Adoption
42
37 GitHub stars
Warnings
- No explicit setup instructions for required Python/R libraries (e.g., pandas, numpy, scipy) or environment configuration.
- SKILL.md is entirely in Chinese; while acceptable, adding an English summary could improve accessibility.
- No dedicated 'Limitations' section, though applicability conditions are embedded in the framework.
- 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
- README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context
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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