Skill audit report
Cornucopia LLaMA Fin Chinese audit report.
聚宝盆(Cornucopia): 中文金融系列开源可商用大模型，并提供一套高效轻量化的垂直领域LLM训练框架(Pretraining、SFT、RLHF、Quantize等)
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
657 GitHub stars
Recent maintenance
FAIL22
3y 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 jerry1993-tech/Cornucopia-LLaMA-Fin-Chinese
Repository evidence
PASS86
https://github.com/jerry1993-tech/Cornucopia-LLaMA-Fin-Chinese
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add jerry1993-tech/Cornucopia-LLaMA-Fin-Chinese
Repository
88
https://github.com/jerry1993-tech/Cornucopia-LLaMA-Fin-Chinese
License
86
Apache-2.0
Maintenance
20
3y 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
657 GitHub stars
Warnings
- Repository appears stale
- Repository looks stale
- Quality score needs review
- Recent maintenance: 3y 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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