design-qa
design-qa is an End-to-end & browser testing skill for AI agents, published by Automattic in the data-liberation-agent repository on GitHub. Skillspace rates design-qa C (71/100) and it passed the safety scan; the rating is based on static analysis only.
Visual-QA loop run after replica theme install and content import. Captures replica screenshots, applies a hard responsiveness gate at 390px AND a hard per-section visual-parity gate (measured SectionParity records, verdict computed by buildRunReport), runs qualitative vision review of source/replica pairs, checks accessibility, and drives a per-section escalation ladder of fixes via editing-themes/editing-blocks/rebuild-section (R1 CSS → R2 spec-rebuild → R3 re-extract → R4a AI canonical-block rebuild → R4b deterministic styled-island floor) — escalating unresolved divergences to the operator rather than shipping them. Orchestration-internal — invoked by the replicate-with-blocks/liberate orchestrators, not directly by users.
- Grade
- C
- Quality
- 71 / 100
- Safety
- Passed
- GitHub stars
- 31
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 94 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 1 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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