Skill audit report
Football Prediction Project audit report.
This project pulls past game data from api-football, and uses this to predict the outcome of future premier league matches with the use of classical machine learning techniques.
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
INFO62
293 GitHub stars
Recent maintenance
PASS88
3mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS90
Metadata includes enough usage and workflow context
Dependency risk
PASS82
network or browser surface
Install availability
PASS92
npx skills add mhaythornthwaite/Football_Prediction_Project
Repository evidence
PASS86
https://github.com/mhaythornthwaite/Football_Prediction_Project
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add mhaythornthwaite/Football_Prediction_Project
Repository
88
https://github.com/mhaythornthwaite/Football_Prediction_Project
License
86
MIT
Maintenance
88
3mo since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
90
Usable description available
Dependency risk
82
network or browser surface
Adoption
68
293 GitHub stars
Warnings
- Quality score needs review
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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