maestro-governance

maestro-governance is a skill for Claude Code, Codex from IAPro-Community/Orquestrador-Maestro. It costs 30 tokens per session (180 once invoked), scanned A, original, Apache-2.0.

A set of rules for keeping Codex or ChatGPT Work tasks focused and efficient within the Maestro orchestration system. It tells the agent how to use context, skills, missions, and subagents.

In plain words
What is it for?
Use it to limit work to the smallest useful set of files, load only selected skills, and avoid spawning subagents unless explicitly requested or allowed.
Why use it?
It reduces unnecessary file reading and multi-agent work while preserving normal agent behavior when Maestro is unavailable or the task is simple.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents; mentions Codex.

Good fit Use it to limit work to the smallest useful set of files, load only selected skills, and avoid spawning subagents unless explicitly requested or allowed.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/iapro-community/orquestrador-maestro/maestro-governance
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add IAPro-Community/Orquestrador-Maestro --skill maestro-governance
Clone the repo
git clone --depth 1 https://github.com/IAPro-Community/Orquestrador-Maestro

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for maestro-governance

README.md
[![agentmods](https://agentmods.dev/badge/skills/iapro-community/orquestrador-maestro/maestro-governance/github.svg)](https://agentmods.dev/skills/iapro-community/orquestrador-maestro/maestro-governance)
Your own site
<a href="https://agentmods.dev/skills/iapro-community/orquestrador-maestro/maestro-governance"><img src="https://agentmods.dev/badge/skills/iapro-community/orquestrador-maestro/maestro-governance/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for maestro-governance

Your own site · 80×15
<a href="https://agentmods.dev/skills/iapro-community/orquestrador-maestro/maestro-governance"><img src="https://agentmods.dev/badge/skills/iapro-community/orquestrador-maestro/maestro-governance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 180 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00030 $0.00180
Opus 5.5 $0.00012 $0.00072
Sonnet 5.5 $0.00006 $0.00036
Haiku 4.5 $0.00003 $0.00018

Measured 17d ago against content hash b54c41e155af, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

maestro-governance scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 17d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/maestro-openai/skills/maestro-governance/SKILL.md · 17 lines

What it actually says

Maestro governance

Use the Maestro hook-provided turn policy as a budget, not as a replacement for the user's request.

  • Prefer the smallest useful working set of files and context.
  • Load only the skill IDs selected by Maestro when those skills are available.
  • Do not turn a trivial request into a Mission or multi-step orchestration flow.
  • Do not spawn subagents unless the user explicitly requests parallel/multi-agent work or Maestro explicitly allows fan-out.
  • Preserve Codex/Work native behavior; Maestro guidance is additive and should not force a different interface.
  • If Maestro is unavailable, continue normally rather than blocking the user's task.
  • Never invent token counts. Treat provider usage as unknown unless the runtime reports it.
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 17d ago First seen · 17 lines · 30 tokens per session scan A b54c41e155af

Subscribe to this mod's changes

maestro-governance is a skill published in the GitHub repository IAPro-Community/Orquestrador-Maestro (58 stars, last pushed today), licensed Apache-2.0. It adds 30 tokens to every session and 180 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-30.

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