Openclaw design audit
Audit OpenClaw frontend code and rendered interfaces for Carapace drift, token misuse, primitive reimplementation, accessibility problems, responsive defects, and off-brand copy. Use for design reviews, compliance checks, or scheduled audit-and-fix workflows.From its SKILL.md
npx -y skills add openclaw/carapace --skill openclaw-design-auditAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 4 stars4 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
1.9 KB, 351 tokens by cl100k_base, as published. Nobody here has run it
OpenClaw Design Audit
Separate mechanical violations from judgment. Report suggestions as suggestions unless a documented rule makes them violations.
Workflow
- Read rubric.md and run every applicable category.
- Read the consumer's installed Carapace version and current commit SHA.
- Read the version-matched token contract and consumer adapters from the
installed product guidance skill:
openclaw-carapacefor new installs or theopenclaw-design-systemcompatibility alias for an upgraded lock. - Read the brand or marketing references when those categories apply.
- Run deterministic source checks before judgment-based review.
- Inspect representative rendered routes at desktop and mobile sizes.
- Check light and dark themes where supported.
- Emit the JSON and Markdown defined in report-format.md.
- When asked to fix findings, apply only narrow changes allowed by fix-policy.md.
- For scheduled ClawHub delivery, follow github-pr-delivery.md.
Evidence
Each finding must include:
- file and line
- category and severity
- stable rule ID
- concise remediation
- Carapace reference
- whether the finding is mechanical or judgment-based
Curation
- Include every error.
- Rank warnings before informational findings, then by affected-file count.
- Surface at most five non-error findings in the concise report.
- Summarize remaining non-error findings by count.
- Treat zero errors, zero warnings, and five or fewer informational findings as no significant drift.
- Never invent source locations or visual evidence.
What ships with it: 4 files
6.2 KB alongside SKILL.md
references/
- fix-policy.md982 B
- github-pr-delivery.md2.2 KB
- report-format.md1.3 KB
- rubric.md1.8 KB