Skill audit report

foundation-models Audit report.

On-device LLM integration using Apple's Foundation Models framework. Use when implementing AI text generation, structured output, or tool calling.

BLOCKED · BLOCKNeeds reviewGenerated Nov 7, 2026Heuristic metadata audit
72
Audit
66
Trust
69
Quality
72
Security
76
Maintain
92
Install

OpenAgentSkill Trust Score

66
Manual review

OpenAgentSkill Trust Score

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

INFO

76

700 GitHub stars

Stars/forks activity

INFO

71

700 stars, 67 forks; issue activity unavailable in current metadata

Recent maintenance

INFO

76

4mo since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

PASS

86

Metadata includes enough usage and workflow context

Dependency/runtime risk

WARN

46

command execution surface, credential or environment access

Install availability

PASS

92

npx skills add rshankras/claude-code-apple-skills --skill foundation-models

Install command safety

PASS

92

standard package or runtime install path

Permission surface

FAIL

24

secrets or environment access, shell or command execution

Repository evidence

PASS

86

https://github.com/rshankras/claude-code-apple-skills/tree/main/skills/apple-intelligence/foundation-models

Review status

INFO

66

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

6 Passed · 13 Needs review

Install path

92

PASS

npx skills add rshankras/claude-code-apple-skills --skill foundation-models

Repository

88

PASS

https://github.com/rshankras/claude-code-apple-skills/tree/main/skills/apple-intelligence/foundation-models

License

86

PASS

MIT

Maintenance

76

CHECK

4mo since push

AI review

55

CHECK

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

PASS

Usable description available

Dependency risk

46

FIX

command execution surface, credential or environment access

Install command safety

92

PASS

standard package or runtime install path

Permission surface

24

FIX

secrets or environment access, shell or command execution

Stars/forks activity

71

CHECK

700 stars, 67 forks; issue activity unavailable in current metadata

Adoption

88

PASS

700 GitHub stars

Warnings

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • 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.
  • Bash is listed as an allowed tool even though the documented workflow is primarily code reference and editing; unnecessary shell access broadens the agent's permission surface.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution

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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