Edge Copy setup link
Skill evidence / brand-identity
Skill profile

brand-identity

Brand strategy and identity design for businesses and products.

What this skill does for you

Brand strategy and identity design for businesses and products. Use when creating brand guidelines, developing visual identity systems, or defining brand positioning.

Quoted from the skill description in the pinned source

Who made it

Publishertravisjneuman
Repository.claude
Installs1,700as 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 brand-identity skill from travisjneuman/.claude.

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: 050878886e3924e11a7d5d0a7df709c3512b7e17. 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: 050878886e3924e11a7d5d0a7df709c3512b7e17. 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: 050878886e3924e11a7d5d0a7df709c3512b7e17. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/travisjneuman/.claude
Pinned skill file
View source at revision
Revision
050878886e3924e11a7d5d0a7df709c3512b7e17
Package hash
sha256:729f27010bc9a9ad1ca1462a7511ac5fc124a89f6238039d7efb185483753790
Licence
MIT