Edge Copy setup link
Skill evidence / software-clean-code-standard
Skill profile

software-clean-code-standard

Defines clean-code standards and CC-* rules.

What this skill does for you

Defines clean-code standards and CC-* rules. Use when reviewing code, setting team standards, citing lint findings, or measuring erosion, complexity mass, and verbosity.

Quoted from the skill description in the pinned source

Who made it

Publishervasilyu1983
Installs296as 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 software-clean-code-standard skill from vasilyu1983/ai-agents-public.

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: 8dc5de47c1db00f8ba01806f5dddd798fc78cf22. 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: 8dc5de47c1db00f8ba01806f5dddd798fc78cf22. 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: 8dc5de47c1db00f8ba01806f5dddd798fc78cf22. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/vasilyu1983/ai-agents-public
Pinned skill file
View source at revision
Revision
8dc5de47c1db00f8ba01806f5dddd798fc78cf22
Package hash
sha256:9bd9d23052ce369913e4fb2946bebcb596d454a265a998a1190d60a0019d169d
Licence
MIT