Edge Copy setup link
Skill evidence / setup-deploy
Skill profile

setup-deploy

Configure deployment settings for /land-and-deploy.

What this skill does for you

Configure deployment settings for /land-and-deploy.

Quoted from the skill description in the pinned source

Who made it

Publishergarrytan
Repositorygstack
Installs315as 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 setup-deploy 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: . 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: 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: 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:eb2d745adac61348dc7f475fd5654e1958a49024083506356862bb6b950fc90d
Licence
MIT