Skill audit report
Build Blender mesh surfaces directly from extracted 2D contours/masks instead of approximate primitives. Use for 1:1 mascot/logo reconstruction, exact leaf/petal silhouettes, filled wireframe shapes, shallow bas-relief forms, or when the model outline must match a front template before adding depth.
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
26 GitHub stars
Stars/forks activity
WARN43
26 stars, 0 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
28d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
INFO64
command execution surface, network or browser surface
Install availability
PASS92
npx skills add CheshireJCat/blender --skill contour-to-mesh
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO62
shell or command execution, network or browser access
Repository evidence
PASS86
https://github.com/CheshireJCat/blender/tree/main/skills/create-3d-model/references/modules/contour-to-mesh
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add CheshireJCat/blender --skill contour-to-mesh
Repository
88
https://github.com/CheshireJCat/blender/tree/main/skills/create-3d-model/references/modules/contour-to-mesh
License
86
MIT
Maintenance
100
28d since push
AI review
55
Duplicate tool name 'blender_scene_info' in allowed-tools list.
README/SKILL.md completeness
84
Usable description available
Dependency risk
64
command execution surface, network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
62
shell or command execution, network or browser access
Stars/forks activity
43
26 stars, 0 forks; issue activity unavailable in current metadata
Adoption
42
26 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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