Skill profile

frontend-design

Guidance for distinctive, intentional visual design.

What this skill does for you

Guidance for distinctive, intentional visual design when building new UI or reshaping an existing one. Helps with aesthetic direction, typography, and making choices that don't read as templated defaults.

Quoted from the skill description in the pinned source

Who made it

Publisherguanyang

Repositoryopen-agent-hub

Installs362as 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-design skill from guanyang/open-agent-hub.

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.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

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: 5248240ae73fb3c2440aae81d1b8655508d58d43. 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: 5248240ae73fb3c2440aae81d1b8655508d58d43. Raw findings: . 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: 5248240ae73fb3c2440aae81d1b8655508d58d43. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/guanyang/open-agent-hub
Pinned skill file: View source at revision
Revision: 5248240ae73fb3c2440aae81d1b8655508d58d43
Package hash: sha256:d9ea32cff696ea707b2bcad5ff04319461e9c098d8bdb5c03c638c049fb8572c
Licence: MIT