Edge Copy setup link
Skill evidence / frontend-designer
Skill profile

frontend-designer

Build accessible, responsive, and performant frontend components with design system best practices,...

What this skill does for you

Build accessible, responsive, and performant frontend components with design system best practices, modern CSS, and framework-agnostic patterns.

Quoted from the skill description in the pinned source

Who made it

Publisherjamesrochabrun
Repositoryskills
Installs325as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the frontend-designer skill from jamesrochabrun/skills.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

ScannerDateResultFindings
Edge static checks2026-09-27Pass0
Cisco skill-scanner2026-09-27Pass0
Semgrep Edge rules2026-09-27Pass0

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

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: 2482c176372299c92af01f8414a67172f324e8db. 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: 2482c176372299c92af01f8414a67172f324e8db. 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: 2482c176372299c92af01f8414a67172f324e8db. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/jamesrochabrun/skills
Pinned skill file
View source at revision
Revision
2482c176372299c92af01f8414a67172f324e8db
Package hash
sha256:1823f40ee1c48304a41934729f113939ef8be9b33446acf3b0fa7a94f2689ee4
Licence
MIT