Skill audit report
Configure LLM providers, use fallback models, handle streaming, and manage model settings in PydanticAI. Use when selecting models, implementing resilience, or optimizing API calls.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
80 GitHub stars
Stars/forks activity
WARN43
80 stars, 8 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
1mo since push
License clarity
PASS86
Apache-2.0
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO64
credential or environment access, network or browser surface
Install availability
PASS92
npx skills add existential-birds/beagle --skill pydantic-ai-model-integration
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL36
secrets or environment access, shell or command execution
Repository evidence
PASS86
https://github.com/existential-birds/beagle/tree/main/plugins/beagle-ai/skills/pydantic-ai-model-integration
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add existential-birds/beagle --skill pydantic-ai-model-integration
Repository
88
https://github.com/existential-birds/beagle/tree/main/plugins/beagle-ai/skills/pydantic-ai-model-integration
License
86
Apache-2.0
Maintenance
88
1mo since push
AI review
55
SKILL.md includes inline api_key='your-key' examples that could encourage hardcoded credentials; should consistently emphasize environment variables or secret managers.
README/SKILL.md completeness
86
Usable description available
Dependency risk
64
credential or environment access, network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
36
secrets or environment access, shell or command execution
Stars/forks activity
43
80 stars, 8 forks; issue activity unavailable in current metadata
Adoption
68
80 GitHub stars
Warnings
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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