Skill audit report
Validate and repair source-locked Blender models using named landmarks such as leaf tips, shell corners, eyes, smile, rim thickness, aura center/radius, and view-specific depth markers. Use when bbox/IoU is insufficient and the model must align to templates at designed feature points.
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
29d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
INFO72
command execution surface
Install availability
PASS92
npx skills add CheshireJCat/blender --skill landmark-fit-repair
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO64
shell or command execution, database access
Repository evidence
PASS86
https://github.com/CheshireJCat/blender/tree/main/skills/create-3d-model/references/modules/landmark-fit-repair
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 landmark-fit-repair
Repository
88
https://github.com/CheshireJCat/blender/tree/main/skills/create-3d-model/references/modules/landmark-fit-repair
License
86
MIT
Maintenance
100
29d since push
AI review
55
The script does not validate the landmark JSON schema version, which could lead to silent misinterpretation of data.
README/SKILL.md completeness
84
Usable description available
Dependency risk
72
command execution surface
Install command safety
92
standard package or runtime install path
Permission surface
64
shell or command execution, database 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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