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Skill evidence / dark-mode-design-expert
Skill profile

dark-mode-design-expert

Master dark mode UI design with atmospheric theming.

What this skill does for you

Master dark mode UI design with atmospheric theming, WCAG accessibility, and cross-platform best practices. Specializes in weather/sky/ocean-inspired color systems that adapt to time of day and environmental conditions.

Quoted from the skill description in the pinned source

Who made it

Publishercuriositech
Installs294as 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 dark-mode-design-expert skill from curiositech/some_claude_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: 6713fc7a6451c8dee5903b98cd2063ff4cbf7317. 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: 6713fc7a6451c8dee5903b98cd2063ff4cbf7317. 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: 6713fc7a6451c8dee5903b98cd2063ff4cbf7317. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/curiositech/some_claude_skills
Pinned skill file
View source at revision
Revision
6713fc7a6451c8dee5903b98cd2063ff4cbf7317
Package hash
sha256:a23bca8f3583e2a211fb601e9085e14020764479c11ca27eef09cdc20af1e7b6
Licence
MIT