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Agent skill · Audited from source

Diagnose

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 to find problems, audit workflow quality, or get a comprehensive health check on their AI workflow.

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Cite this page

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

4 skills are called “Diagnose”. You are viewing sharpdeveye/maestro.

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/diagnoseThe 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 to find problems, audit workflow quality, or get a comprehensive health check on their AI workflow.

---
name: diagnose
description: "Use when the user wants to find problems, audit workflow quality, or get a comprehensive health check on their AI workflow."
argument-hint: "[target area]"
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.

---

Perform a systematic diagnostic scan across 5 dimensions. For each dimension, score 1-5 and provide specific findings.

### Dimension 1: Prompt Quality (1-5)

Evaluate:

- Structure (4-zone pattern: role, context, instructions, output)
- Output schema definition (explicit vs. implicit)
- Instruction clarity (specific vs. vague)
- Edge case handling (addressed vs. ignored)
- Anti-patterns present (wall of text, contradictions, implicit format)

### Dimension 2: Context Efficiency (1-5)

Evaluate:

- Context budget allocation (planned vs. ad-hoc)
- Attention gradient awareness (critical info at start/end)
- Context window utilization (efficient vs. wasteful)
- State management (explicit vs. implicit)
- Memory strategy (appropriate for conversation length)

### Dimension 3: Tool Health (1-5)

Evaluate:

- Tool count (3-7 ideal, 13+ problematic)
- Description quality (specific vs. vague)
- Error handling (graceful vs. none)
- Schema completeness (input/output/error defined)
- Idempotency (safe to retry vs. side-effect prone)
- **Scope attribution**: Distinguish between project-configured tools (e.g., custom scripts, project MCP servers) and agent-level tools (e.g., built-in IDE tools, global MCP servers). Only flag tool overhead for tools the project can actually control

### Dimension 4: Architecture Fitness (1-5)

Evaluate:

- Topology appropriateness (single vs. multi-agent justified)
- Agent boundaries (clear vs. overlapping)
- Handoff protocols (structured vs. ad-hoc)
- Observability (decisions logged vs. black box)
- Cost awareness (budgeted vs. unbounded)

### Dimension 5: Safety & Reliability (1-5)

Evaluate:

- Input validation (present vs. absent)
- Output filtering (PII, content policy) — **scope contextually**: data flowing between a user's own frontend and backend (e.g., authenticated sessions, internal APIs) is lower risk than data exposed to external services or third-party APIs
- Cost controls (ceilings set vs. unbounded)
- Error recovery (fallbacks vs. crash)
- Evaluation strategy (golden tests vs. "it seems to work")

### Diagnostic Report Format

```text
╔══════════════════════════════════════╗
║          MAESTRO DIAGNOSTIC         ║
╠══════════════════════════════════════╣
║ Prompt Quality      ████░  4/5      ║
║ Context Efficiency   ███░░  3/5      ║
║ Tool Health          ██░░░  2/5      ║
║ Architecture         ████░  4/5      ║
║ Safety & Reliability ██░░░  2/5      ║
╠══════════════════════════════════════╣
║ Overall Score:       15/25           ║
╚══════════════════════════════════════╝

CRITICAL FINDINGS:
1. [Most severe issue — immediate action needed]
2. [Second most severe]
3. [Third]

RECOMMENDED ACTIONS:
1. Run /fortify to add error handling (addresses Tool Health + Safety)
2. Run /streamline to reduce tool count (addresses Tool Health)
3. Run /refine for prompt structure improvements (addresses Prompt Quality)
```

### Maestro Command Mapping

Every recommended action MUST reference the specific Maestro command that addresses it. Use this mapping:

| Dimension Gap | Maestro Command | When to Recommend |
|---------------|-----------------|-------------------|
| Prompt structure, clarity, output schema | `/refine` | Score ≤ 4 on Prompt Quality |
| Context budget, attention gradient, memory | `/streamline` | Score ≤ 3 on Context Efficiency |
| Tool errors, missing tools, redundant tools | `/fortify` | Score ≤ 3 on Tool Health |
| Tool count reduction, unused tools | `/streamline` | Tool count > 7 or unused tools found |
| Safety gaps, error recovery, validation | `/fortify` | Score ≤ 3 on Safety & Reliability |
| Test coverage, golden tests, evaluation | `/guard` | No automated tests or evaluation strategy |
| Architecture boundaries, observability | `/calibrate` | Score ≤ 3 on Architecture Fitness |

**Do NOT give generic manual actions** (e.g., "Add Vitest", "Create a rollback script") without also specifying which Maestro command the user should run to implement it. The recommended action format is:
> Run `/<command>` to [specific action] (addresses [Dimension] #[gap number])

### Scoring Guide

| Score | Meaning | Maestro Action |
|-------|---------|----------------|
| 5 | Production-excellent | No action needed |
| 4 | Good with minor gaps | `/refine` for polish |
| 3 | Functional but risky | `/fortify` or `/streamline` for targeted fix |
| 2 | Significant issues | `/fortify` + `/guard` — immediate attention |
| 1 | Broken or missing | `/onboard-agent` — rebuild required |

### Diagnostic Checklist

- [ ] All 5 dimensions scored with specific evidence
- [ ] Critical findings listed in priority order
- [ ] Each finding includes specific file/component location
- [ ] Recommended actions reference specific Maestro commands (see Command Mapping above)
- [ ] Overall score calculated and report generated

### Recommended Next Step

After diagnosis, run the command mapped to your lowest-scoring dimension. For a general improvement sequence: `/fortify` → `/streamline` → `/refine`.

**NEVER**:

- Give all 5s unless the workflow is genuinely production-excellent
- Skip dimensions — score all 5 even if some seem fine
- Diagnose without reading the actual workflow code/config
- Recommend changes without specific findings to support them
- Give generic manual actions without mapping them to a Maestro command

Excerpt, first 5,830 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 Diagnose

What does the Diagnose 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 Diagnose 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 Diagnose 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.

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