Skill audit report
Generate AI-optimised text descriptions for components, formatted for Figma's MCP server and LLM consumption. This produces prose descriptions in a six-section format (purpose, props, anti-patterns, composition, accessibility, examples), NOT JSON schemas or structured data files. Trigger when someone says: write component description for AI, Figma MCP description, write the description for Claude to read, six-section description, describe this component for AI, or anything about writing text that makes components legible to LLMs. Do NOT trigger for JSON metadata schemas, structured constraint files, or programmatic tooling data — use metadata-schema-generator for those.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
174 GitHub stars
Stars/forks activity
WARN51
174 stars, 7 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
26d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO72
external package install surface, network or browser surface
Install availability
PASS92
npx skills add murphytrueman/design-system-ops --skill ai-component-description
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN60
filesystem or document access, network or browser access
Repository evidence
PASS86
https://github.com/murphytrueman/design-system-ops/tree/main/skills/ai-component-description
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add murphytrueman/design-system-ops --skill ai-component-description
Repository
88
https://github.com/murphytrueman/design-system-ops/tree/main/skills/ai-component-description
License
86
MIT
Maintenance
100
26d 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
72
external package install surface, network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
60
filesystem or document access, network or browser access
Stars/forks activity
51
174 stars, 7 forks; issue activity unavailable in current metadata
Adoption
68
174 GitHub stars
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
Browser automation
mediumSkill may drive a browser or interact with web pages.
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.
Database access
mediumSkill may inspect schemas, query databases, or work with persistent stores.