Skill audit report
Generate interactive 3D holographic collectible-card websites from a user description or reference image, using layered artwork, Blender and Three.js. Includes project-local Blender installation, reusable parallax materials and browser verification.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO76
720 GitHub stars
Stars/forks activity
INFO71
720 stars, 102 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
1d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS100
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS82
network or browser surface
Install availability
PASS92
npx skills add EverettFish/holo-card-studio --skill holo-card-studio
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN60
filesystem or document access, network or browser access
Repository evidence
PASS86
https://github.com/EverettFish/holo-card-studio/blob/b470957e0dea681eadc05e467a57bdc84b702333/SKILL.md
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add EverettFish/holo-card-studio --skill holo-card-studio
Repository
88
https://github.com/EverettFish/holo-card-studio/blob/b470957e0dea681eadc05e467a57bdc84b702333/SKILL.md
License
86
MIT
Maintenance
100
1d since push
AI review
55
Source inspection only; the Blender/image-generation workflow and generated output have not been executed or visually tested by OpenAgentSkill.
README/SKILL.md completeness
100
Usable description available
Dependency risk
82
network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
60
filesystem or document access, network or browser access
Stars/forks activity
71
720 stars, 102 forks; issue activity unavailable in current metadata
Adoption
88
720 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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