Agent skill · Audited from source
Teach Maestro
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 with Maestro or when no .maestro.md context file exists yet. Run once per project.
Cite
Cite this page
ModelsAtlas. “Teach Maestro (sharpdeveye/maestro)”. Retrieved 19 Oct 2026. https://modelsatlas.com/skills/sharpdeveye/teach-maestro
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/teach-maestroThe 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 with Maestro or when no .maestro.md context file exists yet. Run once per project.
--- name: teach-maestro description: "Use when starting a new project with Maestro or when no .maestro.md context file exists yet. Run once per project." argument-hint: "[project name]" category: utility version: 2.0.0 user-invocable: true --- ## BOOTSTRAP — First Command to Run This is the entry point for Maestro. It creates the `.maestro.md` context file that all other Maestro commands depend on. No other preparation is needed — this IS the preparation. --- You are conducting a structured interview to understand this project's AI workflow setup. Be conversational but thorough. ### Interview Questions Ask these questions one section at a time. Wait for answers before proceeding. **Section 1 — Models & Providers** - What AI model(s) are you using? (e.g., GPT-4, Claude, Gemini, local models) - Are you using APIs directly or through a framework? (e.g., LangChain, LlamaIndex, custom) - What are your context window sizes? **Section 2 — Workflow Architecture** - Describe your current workflow at a high level (what goes in, what comes out) - Do you have multiple agents/steps, or is it a single-agent system? - What tools/functions are available to your agent(s)? **Section 3 — Quality & Evaluation** - How do you currently evaluate output quality? - Do you have test cases or golden examples? - What are the most common failure modes? **Section 4 — Constraints** - What are your cost constraints? (budget per request, per day) - What are your latency requirements? (real-time, batch, async) - Are there compliance requirements? (HIPAA, GDPR, SOC2, etc.) **Section 5 — Priorities** - Rank these from most to least important: Quality, Speed, Cost, Safety - What's the single biggest workflow problem you want to solve? ### Output Format After gathering all answers, generate a `.maestro.md` file: ```markdown # Maestro Workflow Context Generated: [date] ## Models & Providers [answers from section 1] ## Workflow Architecture [answers from section 2] ## Quality & Evaluation [answers from section 3] ## Constraints [answers from section 4] ## Priorities [answers from section 5, with ranked priorities] ``` Save this file to the project root as `.maestro.md`. ### Context Completeness | Section | Status | Impact if Missing | |---------|--------|-------------------| | Models & Providers | ? | Commands can't tailor advice to your stack | | Workflow Architecture | ? | Commands can't assess complexity | | Quality & Evaluation | ? | `/iterate` and `/evaluate` less effective | | Constraints | ? | `/guard` and `/accelerate` can't set limits | | Priorities | ? | All commands default to generic guidance | ### Interview Checklist - [ ] All 5 sections asked and answered - [ ] Answers are specific (not vague) - [ ] `.maestro.md` file generated and saved - [ ] User confirmed accuracy of the generated context ### Recommended Next Step After creating `.maestro.md`, run `/diagnose` for a baseline health check of your workflow. **NEVER**: - Skip questions — every section matters for downstream commands - Make assumptions — ask if unclear - Overwrite an existing `.maestro.md` without asking
Excerpt, first 3,132 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
Similar skills
sharpdeveye/maestro
Use when the workflow is too slow, too expensive, or both and needs latency, cost, or token usage optimization.
sharpdeveye/maestro
Use when porting a workflow to a different AI provider, deployment environment, model tier, or organizational context.
sharpdeveye/maestro
Use when any Maestro command is invoked — provides foundational workflow design principles across prompt engineering, context management, tool orchestration, agent architecture, feedback loops, knowledge systems, and…
sharpdeveye/maestro
Use when the workflow works but needs to handle more complex cases or produce higher-quality output through better tools, context, prompts, or models.
sharpdeveye/maestro
Use when workflow components are inconsistent, naming conventions vary, or a new team member's work needs alignment to project standards.
sharpdeveye/maestro
Capture a session summary — what was done, what decisions were made, and what to do next.
Questions about Teach Maestro
What does the Teach Maestro skill do?
Is Teach Maestro safe to install?
What can Teach Maestro access on my machine?
How current is this page?
Sources
- github.com/sharpdeveye/maestro/tree/main/source/skills/teach-mae — 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 Teach Maestro skill do?
- Is Teach Maestro safe to install?
- What can Teach Maestro access on my machine?