Skill audit report
Contoso Chat audit report.
This sample has the full End2End process of creating RAG application with Prompty and Azure AI Foundry. It includes GPT-4 LLM application code, evaluations, deployment automation with AZD CLI, GitHub actions for evaluation and deployment and intent mapping for multiple LLM task mapping.
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
762 GitHub stars
Recent maintenance
INFO62
9mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS90
Metadata includes enough usage and workflow context
Dependency risk
INFO72
command execution surface
Install availability
PASS92
npx skills add Azure-Samples/contoso-chat
Repository evidence
PASS86
https://github.com/Azure-Samples/contoso-chat
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add Azure-Samples/contoso-chat
Repository
88
https://github.com/Azure-Samples/contoso-chat
License
86
MIT
Maintenance
62
9mo since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
90
Usable description available
Dependency risk
72
command execution surface
Adoption
88
762 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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