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Skill evidence / design-taste-frontend
Skill profile

design-taste-frontend

Senior UI/UX Engineer.

What this skill does for you

Senior UI/UX Engineer. Architect digital interfaces overriding default LLM biases. Enforces metric-based rules, strict component architecture, CSS hardware acceleration, and balanced design engineering.

Quoted from the skill description in the pinned source

Who made it

Publishertasteskill
Repositorytasteskill
Installs382as 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 design-taste-frontend skill from tasteskill/tasteskill.

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: 37c8c376b92ebc02456f7c70776b514fddda88e1. 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: 37c8c376b92ebc02456f7c70776b514fddda88e1. 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: 37c8c376b92ebc02456f7c70776b514fddda88e1. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/tasteskill/tasteskill
Pinned skill file
View source at revision
Revision
37c8c376b92ebc02456f7c70776b514fddda88e1
Package hash
sha256:3e26196acebeb41d2e9668c5b41debcbd4cf8c98685f48fde2b5888fdf3711a3
Licence
MIT