web-design-reviewer
This skill enables visual inspection of websites running locally or remotely to identify and fix...
What this skill does for you
This skill enables visual inspection of websites running locally or remotely to identify and fix design issues. Triggers on requests like "review website design", "check the UI", "fix the layout", "find design problems". Detects issues with responsive design, accessibility, visual consistency, and layout breakage, then performs fixes at the source code level.
Quoted from the skill description in the pinned sourceWho made it
Use it with Edge
Bring this skill into your Edge workflow. Read the pinned instructions to check its setup.
Security evidence
| Scanner | Date | Result | Findings |
|---|---|---|---|
| Edge static checks | 2026-09-27 | Pass | 0 |
| Cisco skill-scanner | 2026-09-27 | Pass | 0 |
| Semgrep Edge rules | 2026-09-27 | Pass | 0 |
Static scans check the code, not how well the skill works.
Scanner scope, raw findings and mirrored provider records
Socket (skills.sh mirror): Version unavailable. Scope: Not supplied by the mirrored record. Revision: not supplied. Raw findings: not supplied. Counted findings: Not supplied.
Snyk (skills.sh mirror): Version unavailable. Scope: Not supplied by the mirrored record. Revision: not supplied. Raw findings: not supplied. Counted findings: Not supplied.
Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 6c4d33b9cfca967a28bb2962ef4d55e4a384c88c. Raw findings: . Counted findings: .
Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: 6c4d33b9cfca967a28bb2962ef4d55e4a384c88c. Raw findings: 1. Counted findings: .
Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: 6c4d33b9cfca967a28bb2962ef4d55e4a384c88c. Raw findings: . Counted findings: .
Source and licence
- Repository
- https://github.com/github/awesome-copilot
- Pinned skill file
- View source at revision
- Revision
- 6c4d33b9cfca967a28bb2962ef4d55e4a384c88c
- Package hash
- sha256:5d4c03cafd96aa8b5107d229cba8d3acd4b764ce3a5d85a7de61ce8013c08c93
- Licence
- MIT