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Agent skill · Audited from source

Compose

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 a single agent demonstrably cannot handle the task and multi-agent coordination is justified.

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Cite this page

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

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/composeThe 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 a single agent demonstrably cannot handle the task and multi-agent coordination is justified.

---
name: compose
description: "Use when a single agent demonstrably cannot handle the task and multi-agent coordination is justified."
argument-hint: "[workflow description]"
category: enhancement
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 agent-architecture reference in the agent-workflow skill for topology patterns and when multi-agent is justified.

---

Design a multi-agent system. But first — are you sure you need one?

### Step 1: Pre-Composition Check

Answer these before proceeding:

1. **Has a single agent been tried and failed?** (If no, try single agent first)
2. **What specific limitation requires multiple agents?** (If you can't name it, you don't need multi-agent)
3. **Is the cost/latency increase justified?** (Multi-agent = 2-10x cost and latency)

If you can't articulate a specific limitation, use /amplify on the single agent instead.

### Step 2: Design the Topology

Choose the right architecture pattern (consult the agent-architecture reference in the agent-workflow skill):

For each agent in the system, define:

```markdown
## Agent: [Name]
Role: [One sentence]
Responsibilities: [What it does]
Boundaries: [What it does NOT do]
Tools: [List of tools this agent has access to]
Input: [What it receives]
Output: [What it produces]
```

### Step 3: Design Handoffs

For each agent-to-agent connection:

```markdown
## Handoff: [Agent A] → [Agent B]
Trigger: [When does A hand off to B?]
Payload: [What data is passed?]
Expected response: [What does A expect back?]
Timeout: [How long to wait?]
Failure handling: [What if B fails?]
```

### Step 4: Design the Supervisor

Every multi-agent system needs a supervisor:

- Monitors agent health and performance
- Routes tasks to appropriate agents
- Handles failures and escalation
- Enforces global constraints (budget, time, quality)

### Composition Checklist

- [ ] Each agent has a clear, non-overlapping role
- [ ] Handoff protocols are defined for every connection
- [ ] A supervisor pattern is in place
- [ ] Cost/latency budget accounts for all agents
- [ ] Failure modes are handled at every handoff point
- [ ] The system can be understood by reading the topology diagram

### Recommended Next Step

After composition, run `/fortify` to add error handling at every handoff, then `/evaluate` to test the multi-agent system end-to-end.

**NEVER**:

- Build multi-agent for a problem a single agent can handle
- Create agents with overlapping responsibilities
- Skip the supervisor (autonomous swarms are unpredictable)
- Pass full context between all agents (pass only what's needed)
- Compose without defining handoff protocols

Excerpt, first 2,876 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 Compose

What does the Compose 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 Compose 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 Compose 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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