Agent skill · Audited from source
Onboard Agent
skill · sharpdeveye/maestroMIT licenceAudited 19 Oct 2026 · source 4e163a7a8095
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 starting a new project, adding a new agent to an existing system, or setting up workflow infrastructure from scratch.
Cite
Cite this page
ModelsAtlas. “Onboard Agent (sharpdeveye/maestro)”. Retrieved 19 Oct 2026. https://modelsatlas.com/skills/sharpdeveye/onboard-agent
Trust audit
Audit 0.4.1 · source read 19 Oct 2026
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
| Layer | What we check | Result | Findings |
|---|---|---|---|
L0 Provenance | Repo owner, licence, archive status, activity | PASS | 0 |
L1 Static source | Secrets, path traversal, supply chain, hidden code | NA | 0 |
L2 Instructions | Prompt injection, authority framing, hidden directives | PASS | 0 |
L3 Inventory | The files and declarations match the source | PASS | 0 |
L4 Sandbox | Run in isolation and watch behaviour | SKIPPED why | 0 |
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/onboard-agentThe 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 starting a new project, adding a new agent to an existing system, or setting up workflow infrastructure from scratch.
---
name: onboard-agent
description: "Use when starting a new project, adding a new agent to an existing system, or setting up workflow infrastructure from scratch."
argument-hint: "[project or agent name]"
category: utility
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.
---
Bootstrap a new agent workflow from scratch, or add a new agent to an existing system.
### Step 1: Establish Conventions
```markdown
## Workflow Conventions
### Prompt Format
- Delimiter style: [XML tags / markdown headers / triple-dash]
- Section order: [System → Context → Instructions → Input]
- Output format: [JSON with schema / markdown template]
### Tool Conventions
- Naming: [verb_noun / noun.verb / camelCase]
- Description template: [What → When → When Not → Returns]
- Error format: [{ code, message, details }]
### Logging
- Format: [JSON structured]
- Required fields: [workflow_id, step, timestamp, level]
### File Structure
- Prompts: [prompts/workflow-name/v1.md]
- Tools: [tools/tool-name.{ext}]
- Config: [config/environment.yaml]
- Tests: [tests/workflow-name/]
```
### Step 2: Create Initial Structure
```text
project/
├── prompts/ # System prompts, versioned
├── tools/ # Tool definitions
├── config/ # Environment-specific configuration
├── tests/ # Golden test sets and evaluation suites
├── logs/ # Runtime logs (gitignored)
└── .maestro.md # Workflow context
```
### Step 3: Create the First Agent
1. **System prompt**: Role definition with constraints
2. **2-3 essential tools**: Start with the minimum viable tool set
3. **Output schema**: Define expected output format
4. **One golden test**: At least one test case with known-good output
5. **Basic error handling**: Structured error responses
6. **Logging**: Structured log output for each run
### Step 4: Verify
- Run the agent with the golden test case
- Verify error handling works (send bad input)
- Verify logging captures useful context
### Recommended Next Step
After onboarding, run `/diagnose` for a baseline health check, then `/fortify` to add production-grade error handling.
**NEVER**:
- Start building without establishing conventions
- Create tools without descriptions
- Skip the golden test case
- Over-scope the initial agent (start minimal, amplify later)Excerpt, first 2,550 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
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
- ✓SAFE B 89 / 100
first audit · source
4e163a7a8095
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Questions about Onboard Agent
What does the Onboard Agent skill do?
Is Onboard Agent safe to install?
What can Onboard Agent access on my machine?
How current is this page?
Sources
- github.com/sharpdeveye/maestro/tree/main/source/skills/onboard-a — the audited source at commit 4e163a7a8095 and every finding aboveObserved · 19 Oct 2026
Spotted something wrong? Report a correction · Methodology
Keep going in your AI
Opens with this page as the source. We add nothing else to the prompt.
- What does the Onboard Agent skill do?
- Is Onboard Agent safe to install?
- What can Onboard Agent access on my machine?