Skill audit report
On-device LLM integration using Apple's Foundation Models framework. Use when implementing AI text generation, structured output, or tool calling.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO76
700 GitHub stars
Stars/forks activity
INFO71
700 stars, 67 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
2mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO64
command execution surface, network or browser surface
Install availability
PASS92
npx skills add rshankras/claude-code-apple-skills --skill foundation-models
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN50
shell or command execution, network or browser access
Repository evidence
PASS86
https://github.com/rshankras/claude-code-apple-skills/tree/main/skills/apple-intelligence/foundation-models
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add rshankras/claude-code-apple-skills --skill foundation-models
Repository
88
https://github.com/rshankras/claude-code-apple-skills/tree/main/skills/apple-intelligence/foundation-models
License
86
MIT
Maintenance
88
2mo since push
AI review
55
No explicit prompt-injection defense guidance appears in SKILL.md; companion safety docs cover guardrails, but a dedicated note about untrusted input handling would strengthen the skill.
README/SKILL.md completeness
86
Usable description available
Dependency risk
64
command execution surface, network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
50
shell or command execution, network or browser access
Stars/forks activity
71
700 stars, 67 forks; issue activity unavailable in current metadata
Adoption
88
700 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
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.
Compare nearby options