Skill audit report
Llm Reader audit report.
Turn Webpage to LLM friendly input text. Similar to Firecrawl and Jina Reader API. Makes RAG, AI web scraping, image & webpage links extraction easy.
OpenAgentSkill Trust Score
Stars, maintenance, license, docs, install safety, permission surface, and installability.
The Trust Score is OpenAgentSkill's adoption layer. It is designed to help an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
293 GitHub stars
Stars/forks activity
WARN57
293 stars, 21 forks; issue activity unavailable in current metadata
Recent maintenance
INFO76
5mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS90
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS82
network or browser surface
Install availability
PASS92
npx skills add m92vyas/llm-reader
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO72
filesystem or document access, network or browser access
Repository evidence
PASS86
https://github.com/m92vyas/llm-reader
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install and adoption review
Install path
92
npx skills add m92vyas/llm-reader
Repository
88
https://github.com/m92vyas/llm-reader
License
86
MIT
Maintenance
76
5mo since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
90
Usable description available
Dependency risk
82
network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
72
filesystem or document access, network or browser access
Stars/forks activity
57
293 stars, 21 forks; issue activity unavailable in current metadata
Adoption
68
293 GitHub stars
Warnings
- Quality score needs review
- Stars/forks activity: 293 stars, 21 forks; issue activity unavailable in current metadata
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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