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Agent skill · Audited from source

Evaluate

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 the user wants a quality review, interaction audit, or to test the workflow against realistic scenarios.

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Cite this page

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

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/evaluateThe 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 the user wants a quality review, interaction audit, or to test the workflow against realistic scenarios.

---
name: evaluate
description: "Use when the user wants a quality review, interaction audit, or to test the workflow against realistic scenarios."
argument-hint: "[workflow or scenario]"
category: analysis
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 feedback-loops reference in the agent-workflow skill for evaluation patterns, golden test sets, and regression detection.

---

Evaluate the workflow's actual interaction quality by testing it against scenarios that represent real usage.

### Evaluation Dimensions

**1. Task Completion**

- Does the workflow actually accomplish what it's supposed to?
- Does it handle the complete task or only the happy path?
- Are edge cases addressed or silently dropped?

**2. Output Quality**

- Is the output accurate, complete, and well-formatted?
- Does it match the defined output schema (if any)?
- Would a domain expert approve the output?

**3. Error Behavior**

- What happens when input is malformed?
- What happens when a tool fails?
- What happens when the model is uncertain?
- Is the error message useful or generic?

**4. User Experience**

- Is the interaction natural and intuitive?
- Are confirmations requested for destructive operations?
- Is the response time acceptable?
- Does the workflow communicate its limitations?

**5. Consistency**

- Does the same input produce consistent output quality?
- Are there random failures that aren't reproducible?
- Does quality degrade over long conversations?

### Scenario Testing

Create and run test scenarios:

| Scenario | Input | Expected | Actual | Grade |
|----------|-------|----------|--------|-------|
| Happy path | Normal input | Correct output | ? | A-F |
| Edge case | Unusual input | Graceful handling | ? | A-F |
| Error case | Bad input | Helpful error | ? | A-F |
| Stress case | Large/complex input | Reasonable handling | ? | A-F |
| Adversarial | Tricky/malicious input | Safe response | ? | A-F |

### Evaluation Report

Produce a structured report with:

1. Overall quality grade (A-F)
2. Per-dimension scores with evidence
3. Specific scenario results
4. Priority improvements with recommended Maestro commands

### Evaluation Checklist

- [ ] All 5 dimensions tested with concrete scenarios
- [ ] At least one edge case and one adversarial case tested
- [ ] Results documented in the scenario table
- [ ] Overall grade assigned with justification
- [ ] Improvement actions reference specific Maestro commands

### Recommended Next Step

After evaluation, run `/fortify` to address error behavior gaps, `/refine` for output quality improvements, or `/iterate` to set up continuous quality monitoring.

**NEVER**:

- Evaluate theoretically — run actual scenarios
- Give an A grade unless the workflow handles all scenario types well
- Skip adversarial testing for user-facing workflows
- Evaluate only the happy path

Excerpt, first 3,100 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 Evaluate

What does the Evaluate 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 Evaluate 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 Evaluate 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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