Skill audit report
Parses binary STL files using Python's struct module, extracting triangle vertices, normals, and the 2-byte attribute byte count (used as Material ID). Provides filtering by Material ID and density table parsing.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
88 GitHub stars
Stars/forks activity
WARN43
88 stars, 4 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
7d since push
License clarity
PASS86
Apache-2.0
README/SKILL.md completeness
PASS86
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 OpenLAIR/OpenSkill --skill evo-stl-binary-parser
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/OpenLAIR/OpenSkill/tree/main/tasks-evolved/3d-scan-calc/environment/skills/evo-stl-binary-parser
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add OpenLAIR/OpenSkill --skill evo-stl-binary-parser
Repository
88
https://github.com/OpenLAIR/OpenSkill/tree/main/tasks-evolved/3d-scan-calc/environment/skills/evo-stl-binary-parser
License
86
Apache-2.0
Maintenance
100
7d since push
AI review
55
No explicit error handling for malformed or truncated STL files; could raise exceptions or produce partial data.
README/SKILL.md completeness
86
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
43
88 stars, 4 forks; issue activity unavailable in current metadata
Adoption
68
88 GitHub stars
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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