Edge Copy setup link
Skill evidence / easy-cheese-setup
Skill profile

easy-cheese-setup

Register the durable `cheese-durable` Hallouminate corpus.

What this skill does for you

Register the durable `cheese-durable` Hallouminate corpus. Repair the durable corpus when its configuration changes. Register the repository tenant. Repair the repository tenant when its configuration changes. Use this skill when the user requests durable corpus setup or repair. Use it when the user requests repository tenant registration. Also use it when the user invokes /easy-cheese-setup. Use the wiki skills for general Hallouminate wiki work. Use scripts/install.sh to install the MCP server.

Quoted from the skill description in the pinned source

Who made it

Publisherpaulnsorensen
Repositoryeasy-cheese
Installs292as 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 easy-cheese-setup 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.

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: f4a7bf3ed332c3fd6e1832d67b1ce462494ab075. 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: 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
sha256:241624b4ee7846565014de69bfd18ae33e9e1a68cc619a0f061b2f3775d437d9
Licence
MIT