Skill audit report
Quant Trading audit report.
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
OpenAgentSkill Trust Score
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
PASS100
10K GitHub stars
Recent maintenance
FAIL22
2y since push
License clarity
PASS86
Apache-2.0
README/SKILL.md completeness
PASS90
Metadata includes enough usage and workflow context
Dependency risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add je-suis-tm/quant-trading
Repository evidence
PASS86
https://github.com/je-suis-tm/quant-trading
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add je-suis-tm/quant-trading
Repository
88
https://github.com/je-suis-tm/quant-trading
License
86
Apache-2.0
Maintenance
20
2y since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
90
Usable description available
Dependency risk
90
no major dependency risk hints in public metadata
Adoption
88
10K GitHub stars
Warnings
- Repository appears stale
- Repository looks stale
- Recent maintenance: 2y since push
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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