pixel-perfect-replication
pixel-perfect-replication is a Design-to-code & prototyping skill for AI agents, published by Yu-369 in the VibeCurb repository on GitHub. Skillspace rates pixel-perfect-replication F (53/100) and it passed the safety scan; the rating is based on static analysis only.
Image-to-code replication pipeline. When the user provides a screenshot or design reference, this skill runs a structured extraction across seven layers (grid, type, color, spacing, components, atmosphere, interaction), builds an Extraction Sheet before any code is written, implements with exact fidelity to the reference, and verifies through inline Quality Gates and a final Visual Diff. The reference image is the spec. The code is a translation, not an interpretation.
- Grade
- F
- Quality
- 53 / 100
- Safety
- Passed
- GitHub stars
- 329
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
- 80 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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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