Skill audit report
Energy Forecasting audit report.
馃寑 饾棫饾椀饾棽 饾棛饾槀饾椆饾椆 饾棪饾榿饾棶饾棸饾椄 饾煶-饾棪饾榿饾棽饾椊饾榾 饾棤饾棢饾棦饾椊饾榾 饾棛饾椏饾棶饾椇饾棽饾槃饾椉饾椏饾椄 | 饾棢饾棽饾棶饾椏饾椈 饾棤饾棢饾棙 & 饾棤饾棢饾棦饾椊饾榾 for free by designing, building and deploying an end-to-end ML batch system ~ 饾槾饾槹饾樁饾槼饾槫饾槮 饾槫饾槹饾槬饾槮 + 2.5 饾槱饾槹饾樁饾槼饾槾 饾槹饾槯 饾槼饾槮饾槩饾槬饾槳饾槸饾槰 & 饾樂饾槳饾槬饾槮饾槹 饾槷饾槩饾樀饾槮饾槼饾槳饾槩饾槶饾槾
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
INFO76
977 GitHub stars
Recent maintenance
FAIL22
2y since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS90
Metadata includes enough usage and workflow context
Dependency risk
INFO80
external package install surface
Install availability
PASS92
npx skills add iusztinpaul/energy-forecasting
Repository evidence
PASS86
https://github.com/iusztinpaul/energy-forecasting
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add iusztinpaul/energy-forecasting
Repository
88
https://github.com/iusztinpaul/energy-forecasting
License
86
MIT
Maintenance
20
2y since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
90
Usable description available
Dependency risk
80
external package install surface
Adoption
88
977 GitHub stars
Warnings
- Repository appears stale
- Repository looks stale
- Quality score needs review
- 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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