Skill audit report
evo-stl-mass Audit report.
Parse binary STL files with material IDs in attribute bytes, find largest connected component, compute volume and mass. Use when calculating mass of 3D printed parts from STL scan data.
OpenAgentSkill Trust Score
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
65 GitHub stars
Stars/forks activity
WARN43
65 stars, 5 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
3mo since push
License clarity
PASS86
Apache-2.0
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add Zhang-Henry/CoEvoSkills --skill evo-stl-mass
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/Zhang-Henry/CoEvoSkills/tree/main/artifacts/skills/3d-scan-calc/evo-stl-mass
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install and adoption review
Install path
92
npx skills add Zhang-Henry/CoEvoSkills --skill evo-stl-mass
Repository
88
https://github.com/Zhang-Henry/CoEvoSkills/tree/main/artifacts/skills/3d-scan-calc/evo-stl-mass
License
86
Apache-2.0
Maintenance
88
3mo since push
AI review
55
The skill assumes STL coordinates are in millimeters without a configurable unit option, which could lead to incorrect mass calculations if the STL uses other units.
README/SKILL.md completeness
84
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
65 stars, 5 forks; issue activity unavailable in current metadata
Adoption
68
65 GitHub stars
Warnings
- The skill assumes STL coordinates are in millimeters without a configurable unit option, which could lead to incorrect mass calculations if the STL uses other units.
- The density table parser is brittle: it relies on a specific markdown table format with '**' markers and may fail on variations.
- The tolerance calculation for vertex matching is heuristic and may not be robust for all STL files, potentially causing incorrect component detection.
- Quality score needs review
- GitHub adoption: 65 GitHub stars
- Stars/forks activity: 65 stars, 5 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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