Skill audit report
Use when a PlayCanvas scene must read as a deliberate image rather than a flat asset preview — photoreal and cinematic, or stylized, low-poly, and palette-driven — to set key and ambient lighting, sky and image-based lighting, shadows, tone mapping and exposure, water, and a restrained post-process grade of bloom, fog, and colour.
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
FAIL30
21 GitHub stars
Stars/forks activity
FAIL32
21 stars, 4 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
13d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS82
network or browser surface
Install availability
PASS92
npx skills add playcanvas/skills --skill light-scene
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS86
network or browser access
Repository evidence
PASS86
https://github.com/playcanvas/skills/tree/main/skills/light-scene
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add playcanvas/skills --skill light-scene
Repository
88
https://github.com/playcanvas/skills/tree/main/skills/light-scene
License
86
MIT
Maintenance
100
13d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
86
Usable description available
Dependency risk
82
network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
86
network or browser access
Stars/forks activity
32
21 stars, 4 forks; issue activity unavailable in current metadata
Adoption
42
21 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
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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