Edge Copy setup link
Skill evidence / autoplan
Skill profile

autoplan

Auto-review pipeline : reads the full CEO.

What this skill does for you

Auto-review pipeline : reads the full CEO, design, eng, and DX review skills from disk and runs them sequentially with auto-decisions using 6 decision principles. (gstack)

Quoted from the skill description in the pinned source

Who made it

Publishergarrytan
Repositorygstack
Installs372as 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 autoplan skill from garrytan/gstack.

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: 01593aa67c94780528e8f5121e47362502410ced. Raw findings: 1. 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: 01593aa67c94780528e8f5121e47362502410ced. Raw findings: 2. 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: 01593aa67c94780528e8f5121e47362502410ced. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/garrytan/gstack
Pinned skill file
View source at revision
Revision
01593aa67c94780528e8f5121e47362502410ced
Package hash
sha256:616203d55cddd7a84328a99a78a0e88bea817dcb8011561387eb76a5af5f813e
Licence
MIT