Skill audit report
Use when designing, scaffolding, extending, or auditing a component library whose primary consumer is an AI agent — i.e. the design system needs machine-readable metadata (props, variants, relationships, tokens, anti-patterns) rather than only prose docs. Triggers include "agentic design system", "design system for AI/Claude", "make my design system AI-readable", "component metadata schema", "scaffold a UI library for an agent", or planning a new component library where the main consumer is an LLM. Don't use this skill for purely human-facing design system work — use figma:figma-generate-library for that.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
86 GitHub stars
Stars/forks activity
WARN48
86 stars, 21 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
22d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
WARN54
credential or environment access, external package install surface
Install availability
PASS92
npx skills add thedesignproject/agent-skills --skill agentic-design-systems
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL34
secrets or environment access, filesystem or document access
Repository evidence
PASS86
https://github.com/thedesignproject/agent-skills/tree/main/skills/agentic-design-systems
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add thedesignproject/agent-skills --skill agentic-design-systems
Repository
88
https://github.com/thedesignproject/agent-skills/tree/main/skills/agentic-design-systems
License
86
MIT
Maintenance
100
22d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
86
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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Usable description available
Dependency risk
54
credential or environment access, external package install surface
Install command safety
92
standard package or runtime install path
Permission surface
34
secrets or environment access, filesystem or document access
Stars/forks activity
48
86 stars, 21 forks; issue activity unavailable in current metadata
Adoption
68
86 GitHub stars
Agent safety v2
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
Network access
mediumSkill likely fetches remote pages, APIs, repositories, or external services.
Filesystem access
mediumSkill may read or write project files, documents, generated artifacts, or local workspace state.
Secrets or environment access
highSkill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Database access
mediumSkill may inspect schemas, query databases, or work with persistent stores.