Skill profile

rust-refactor

Decision frameworks for Rust refactoring.

What this skill does for you

Decision frameworks for Rust refactoring, simplification, module decomposition, and incremental migration. Use this skill when simplifying Rust code, splitting large files, removing dead abstractions, migrating types incrementally, or cleaning up feature flags. Triggers on Rust refactoring, simplification, module splitting, parameter cleanup, or incremental type migration.

Quoted from the skill description in the pinned source

Who made it

Publisherpproenca

Repositorydot-skills

Installs302as 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 rust-refactor skill from pproenca/dot-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

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: cf93c57cac89d6fc3e4194686000411567f5caf3. 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: cf93c57cac89d6fc3e4194686000411567f5caf3. 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: cf93c57cac89d6fc3e4194686000411567f5caf3. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/pproenca/dot-skills
Pinned skill file: View source at revision
Revision: cf93c57cac89d6fc3e4194686000411567f5caf3
Package hash: sha256:a2806ff639eca907169549708963fbe653ee36e46950fada7cab1346b44925bf
Licence: MIT