Skill audit report
Llm Apps Java Spring AI audit report.
Samples showing how to build Java applications powered by Generative AI and LLMs using Spring AI and Spring Boot.
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
752 GitHub stars
Recent maintenance
PASS88
2mo 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 ThomasVitale/llm-apps-java-spring-ai
Repository evidence
PASS86
https://github.com/ThomasVitale/llm-apps-java-spring-ai
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add ThomasVitale/llm-apps-java-spring-ai
Repository
88
https://github.com/ThomasVitale/llm-apps-java-spring-ai
License
86
Apache-2.0
Maintenance
88
2mo 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
752 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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