Skill audit report
Stock Analysis Engine audit report.
Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/
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
PASS86
1.2K GitHub stars
Recent maintenance
FAIL22
6y since push
License clarity
WARN42
Unknown
README/SKILL.md completeness
PASS90
Metadata includes enough usage and workflow context
Dependency risk
INFO72
external package install surface, network or browser surface
Install availability
PASS92
npx skills add AlgoTraders/stock-analysis-engine
Repository evidence
PASS86
https://github.com/AlgoTraders/stock-analysis-engine
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add AlgoTraders/stock-analysis-engine
Repository
88
https://github.com/AlgoTraders/stock-analysis-engine
License
45
Unknown
Maintenance
20
6y since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
90
Usable description available
Dependency risk
72
external package install surface, network or browser surface
Adoption
88
1.2K GitHub stars
Warnings
- License is unclear
- Repository appears stale
- Repository looks stale
- Quality score needs review
- Recent maintenance: 6y since push
- License clarity: Unknown
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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