Skill profile

plate

Turn finished local work into a commit.

What this skill does for you

Turn finished local work into a commit, an ordinary pull request, or a pull request stack. Use this skill to commit changes or to publish a branch. Use it to open or update a pull request. Use it to create, sync, restack, or submit a pull request stack. You can also run /plate. This skill owns all staging, commits, pushes, pull request creation, and stack changes. /gh owns GitHub inspection, reviews, comments, CI, issues, releases, and repository administration.

Quoted from the skill description in the pinned source

Who made it

Publisherpaulnsorensen

Repositoryeasy-cheese

Installs306as 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 plate skill from paulnsorensen/easy-cheese.

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: f4a7bf3ed332c3fd6e1832d67b1ce462494ab075. 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: f4a7bf3ed332c3fd6e1832d67b1ce462494ab075. Raw findings: 8. 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: f4a7bf3ed332c3fd6e1832d67b1ce462494ab075. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/paulnsorensen/easy-cheese
Pinned skill file: View source at revision
Revision: f4a7bf3ed332c3fd6e1832d67b1ce462494ab075
Package hash: sha256:9f1e6d87ce7a061b424138f5d024d3f6c35a5b942576e3f50e3334ca49c1f54b
Licence: MIT