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
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO76
762 GitHub stars
Stars/forks activity
PASS82
762 stars, 4.0K forks; issue activity unavailable in current metadata
Recent maintenance
FAIL38
1y since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS90
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO72
command execution surface
Install availability
PASS92
npx skills add Azure-Samples/contoso-chat
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO62
shell or command execution, filesystem or document access
Repository evidence
PASS86
https://github.com/Azure-Samples/contoso-chat
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
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
38
1y since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
90
Usable description available
Dependency risk
72
command execution surface
Install command safety
92
standard package or runtime install path
Permission surface
62
shell or command execution, filesystem or document access
Stars/forks activity
82
762 stars, 4.0K forks; issue activity unavailable in current metadata
Adoption
88
762 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Warnings
- Repository appears stale
- Financial research output is not financial advice; require human review before any live investment decision
- Repository looks stale
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- Recent maintenance: 1y 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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