Skill audit report
Agents From Scratch audit report.
Build AI agents from first principles using a local LLM - no frameworks, no cloud APIs, no hidden reasoning.
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
INFO76
826 GitHub stars
Stars/forks activity
INFO71
826 stars, 211 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
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add pguso/agents-from-scratch
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS100
no high-risk permission surface in public metadata
Repository evidence
PASS86
https://github.com/pguso/agents-from-scratch
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add pguso/agents-from-scratch
Repository
88
https://github.com/pguso/agents-from-scratch
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
90
no major dependency risk hints in public metadata
Install command safety
92
standard package or runtime install path
Permission surface
100
no high-risk permission surface in public metadata
Stars/forks activity
71
826 stars, 211 forks; issue activity unavailable in current metadata
Adoption
88
826 GitHub stars
Warnings
- Quality score needs review
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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