Edge Copy setup link
Skill evidence / calibrate
Skill profile

calibrate

Use when workflow components are inconsistent.

What this skill does for you

Use when workflow components are inconsistent, naming conventions vary, or a new team member's work needs alignment to project standards.

Quoted from the skill description in the pinned source

Who made it

Publishersharpdeveye
Repositorymaestro
Installs318as 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 calibrate skill from sharpdeveye/maestro.

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: 00f9115d446a8ba26b8f18f6ed306bc4a21807c3. 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: 00f9115d446a8ba26b8f18f6ed306bc4a21807c3. 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: 00f9115d446a8ba26b8f18f6ed306bc4a21807c3. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/sharpdeveye/maestro
Pinned skill file
View source at revision
Revision
00f9115d446a8ba26b8f18f6ed306bc4a21807c3
Package hash
sha256:7f3fd1450024627ff5772e8198e11fcc0d92769a32724ae3391a012c3a099e16
Licence
MIT