xxg-portrait-rebuild-light
xxg-portrait-rebuild-light is a Photo editing & retouching skill for AI agents, published by moskoo in the xxg-portrait-rebuild-light repository on GitHub. Skillspace rates xxg-portrait-rebuild-light C (72/100) and it passed the safety scan; the rating is based on static analysis only.
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.
- Grade
- C
- Quality
- 72 / 100
- Safety
- Passed
- GitHub stars
- 154
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 96 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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