Skill audit report
Edit an existing JPG, JPEG, PNG, or WebP portrait to rebuild physically coherent light and clean optical skin realism without changing the person. Use for plastic-skin or AI-look removal, texture-only fidelity enhancement, natural fill, backlight correction, soft window light or shadows, tree shadows, bokeh, golden-hour side backlight, neon, studio light, low-key beams, full-black silhouettes, or Higgsfield-Relight-like edits.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
161 GitHub stars
Stars/forks activity
WARN57
161 stars, 20 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
10d 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 moskoo/xxg-portrait-rebuild-light --skill xxg-portrait-rebuild-light
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO76
shell or command execution
Repository evidence
PASS86
https://github.com/moskoo/xxg-portrait-rebuild-light/blob/main/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 moskoo/xxg-portrait-rebuild-light --skill xxg-portrait-rebuild-light
Repository
88
https://github.com/moskoo/xxg-portrait-rebuild-light/blob/main/SKILL.md
License
86
MIT
Maintenance
100
10d since push
AI review
55
The SKILL.md excerpt is truncated; the full file likely includes more details, but the provided portion is sufficient for evaluation.
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
76
shell or command execution
Stars/forks activity
57
161 stars, 20 forks; issue activity unavailable in current metadata
Adoption
68
161 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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