Edge Copy setup link
Skill evidence / distill
Skill profile

distill

Use when extracting BDD specs from existing code : for adopting Beat in an established codebase or...

What this skill does for you

Use when extracting BDD specs from existing code : for adopting Beat in an established codebase or distilling a module into feature files

Quoted from the skill description in the pinned source

Who made it

Publisherkirkchen
Repositorybeat
Installs439as 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 distill skill from kirkchen/beat.

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: 6ce8c90b1e90066d3333feba62643bb360a2f456. 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: 6ce8c90b1e90066d3333feba62643bb360a2f456. 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: 6ce8c90b1e90066d3333feba62643bb360a2f456. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/kirkchen/beat
Pinned skill file
View source at revision
Revision
6ce8c90b1e90066d3333feba62643bb360a2f456
Package hash
sha256:34bd9cfb5316f2295efd8ada5d7e2bb8bf15d5d20ffe81d645a02e646b55de87
Licence
MIT