Skill profile

material

Google's Material Design with layered surfaces.

What this skill does for you

Google's Material Design with layered surfaces, dynamic theming, built-in motion, and responsive cross-platform patterns.

Quoted from the skill description in the pinned source

Who made it

Publisherbergside

Repositoryawesome-design-skills

Installs1,500as 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 material skill from bergside/awesome-design-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.

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

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: f631a09b4fcc0166f2e2c1a8c81906ef680c57e8. 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: f631a09b4fcc0166f2e2c1a8c81906ef680c57e8. 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: f631a09b4fcc0166f2e2c1a8c81906ef680c57e8. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/bergside/awesome-design-skills
Pinned skill file: View source at revision
Revision: f631a09b4fcc0166f2e2c1a8c81906ef680c57e8
Package hash: sha256:c8bca3ba7f1bec0ce29aaef20cbbca2bba7074c2f18f7be0517e50e40b8a04e4
Licence: MIT