Edge Copy setup link
Skill evidence / refactor
Skill profile

refactor

Use when refactoring, cleaning up code, reducing complexity, fixing code smells, or improving code...

What this skill does for you

Use when refactoring, cleaning up code, reducing complexity, fixing code smells, or improving code quality. Audits code for dead code, nesting, and patterns.

Quoted from the skill description in the pinned source

Who made it

Publishertartinerlabs
Repositoryskills
Installs328as 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 refactor skill from tartinerlabs/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: 39b6890b0402b6e9bfd532951ce551c0bcf2dafc. 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: 39b6890b0402b6e9bfd532951ce551c0bcf2dafc. 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: 39b6890b0402b6e9bfd532951ce551c0bcf2dafc. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/tartinerlabs/skills
Pinned skill file
View source at revision
Revision
39b6890b0402b6e9bfd532951ce551c0bcf2dafc
Package hash
sha256:4f618ec7b7069e94978063d898a060c62608bbe559805a5c8fce6231a0c64717
Licence
MIT