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Agent skill · Audited from source

Calibrate

skill · sharpdeveye/maestroMIT licenceAudited 19 Oct 2026 · source 4e163a7a8095

★ 591pushed 173 days agoversion 2.0.0
✓SAFEGrade B · 89/100 · 19 Oct 2026 · 4e163a7
591repo stars · whole sharpdeveye/maestro

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 4e163a7a8095 and found no filesystem, network or shell access and no hard-coded secrets. What it does: Use when workflow components are inconsistent, naming conventions vary, or a new team member's work needs alignment to project standards.

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Cite this page

ModelsAtlas. “Calibrate (sharpdeveye/maestro)”. Retrieved 19 Oct 2026. https://modelsatlas.com/skills/sharpdeveye/calibrate

Trust audit

Audit 0.4.1 · source read 19 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high0 medium0 low0 info

SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 16,667 of 17,602 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityPASS0
L1 Static sourceSecrets, path traversal, supply chain, hidden codeNA0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (0)

No findings at any severity. We re-audit when the source changes.

Audit 0.4.1 · source sha 4e163a7a8095 · 19 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

  • Publishersharpdeveye GitHub userOwner of the repository this skill is read from
  • Source foldersharpdeveye/maestro/source/skills/calibrateThe exact folder we audited
  • LicenceMITAs the repository states it
  • Commit pinned for this verdict4e163a7a8095A new audit runs when the source changes
  • Repository statusNot archivedLast push 173 days ago
  • Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

What it tells the agent

Full source on GitHub ↗

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

---
name: calibrate
description: "Use when workflow components are inconsistent, naming conventions vary, or a new team member's work needs alignment to project standards."
argument-hint: "[target area]"
category: fix
version: 2.0.0
user-invocable: true
---

## MANDATORY PREPARATION

Invoke /agent-workflow — it contains workflow principles, anti-patterns, and the **Context Gathering Protocol**. Follow the protocol before proceeding — if no workflow context exists yet, you MUST run /teach-maestro first.
Consult the prompt-engineering reference in the agent-workflow skill for naming and style consistency patterns.


---

Ensure consistency across all workflow components. Inconsistency creates confusion — for the model, for developers, and for users.

### Calibration Dimensions

**Naming Conventions**

- Tool names follow consistent pattern (verb_noun, noun.verb, or camelCase — pick one)
- Agent names follow consistent pattern
- Configuration keys follow consistent pattern
- File names follow consistent pattern

**Prompt Style**

- All prompts use the same structural pattern (4-zone)
- Consistent delimiter style (XML tags, markdown headers, triple-dash)
- Consistent output schema format (JSON schema, markdown template)
- Consistent instruction style (imperative, numbered steps)

**Error Handling**

- All tools return errors in the same format
- Error codes follow consistent scheme
- Error messages follow consistent tone
- Retry logic uses consistent strategy

**Logging**

- All logs use the same format (JSON structured, text, etc.)
- Consistent field names across all log entries
- Consistent log levels (debug, info, warn, error)
- Consistent PII redaction approach

### Calibration Process

1. **Identify the standard**: What's the most common pattern in the existing codebase? That's the standard.
2. **List deviations**: Find all components that deviate from the standard.
3. **Prioritize**: Fix the most impactful deviations first (user-facing > internal).
4. **Apply**: Make the changes, ensuring tests still pass.
5. **Document**: Update `.maestro.md` with the established conventions.

### Consistency Audit Table

| Dimension | Standard | Deviations Found | Priority |
|-----------|----------|------------------|----------|
| Tool naming | ? | ? of ? tools | High/Med/Low |
| Prompt structure | ? | ? of ? prompts | High/Med/Low |
| Error format | ? | ? of ? tools | High/Med/Low |
| Log format | ? | ? of ? entries | High/Med/Low |

### Calibration Checklist

- [ ] Convention standard identified for each dimension
- [ ] All deviations listed with location
- [ ] Highest impact deviations fixed first
- [ ] Tests pass after each calibration change
- [ ] Updated `.maestro.md` with established conventions

### Recommended Next Step

After calibration, run `/refine` for a final polish pass, or `/evaluate` to verify consistency improvements.

**NEVER**:

- Invent new conventions when existing ones work
- Calibrate in a way that changes behavior (this is standardization, not refactoring)
- Skip test verification after calibration
- Change naming conventions without updating all references

Excerpt, first 3,126 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit 4e163a7

Download folder ↗
git clone https://github.com/sharpdeveye/maestro
git -C maestro checkout 4e163a7a8095

The author documents no install command, so this uses the repository directly. Our verdict covers commit 4e163a7a8095 only.

Works in

The author has not said which agents this skill supports, and we have not tested it in any.

Audit history

Every audit, every source change

  1. ✓SAFE B 89 / 100

    first audit · source 4e163a7a8095

Similar skills

Questions about Calibrate

What does the Calibrate skill do?
Workflow fluency for AI coding agents. 1 core skill · 25 commands · 7 domain references · memory layer · audit trail — works across Cursor, Claude Code, Gemini CLI, Copilot, and 6 more.
Is Calibrate safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Calibrate access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (4e163a7a8095), read on 2026-10-19. The repository is watched, and a new audit runs when it changes — this is the first audit.

Sources

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