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ag-0-orquestrador

ag-0-orquestrador is a skill for Claude Code from andregusman-raiz/a-gusman-claude. It costs 39 tokens per session (11,627 once invoked), scanned B, original, MIT.

An orchestration guide for classifying requests and routing them to the right skills, agents, or plugins. It also describes checking the result after delegated work and retrying or escalating when necessary.

In plain words
What is it for?
Reading repository state, identifying the type of task, selecting capabilities, delegating execution, and verifying that the expected output was produced.
Why use it?
It separates request coordination from the actual implementation, helping multi-step work reach the appropriate tool or specialist and exposing missing results.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: model in frontmatter; reads .claude/ paths; mentions subagents.

not rated 18repo 1mo ago B scan 39 tokens original MIT

Good fit Reading repository state, identifying the type of task, selecting capabilities, delegating execution, and verifying that the expected output was produced.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/andregusman-raiz/a-gusman-claude/ag-0-orquestrador
View source ↗ andregusman-raiz/a-gusman-claude
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 andregusman-raiz/a-gusman-claude --skill ag-0-orquestrador
Clone the repo
git clone --depth 1 https://github.com/andregusman-raiz/a-gusman-claude

Made for: Claude Code.

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 ag-0-orquestrador

README.md
[![agentmods](https://agentmods.dev/badge/skills/andregusman-raiz/a-gusman-claude/ag-0-orquestrador/github.svg)](https://agentmods.dev/skills/andregusman-raiz/a-gusman-claude/ag-0-orquestrador)
Your own site
<a href="https://agentmods.dev/skills/andregusman-raiz/a-gusman-claude/ag-0-orquestrador"><img src="https://agentmods.dev/badge/skills/andregusman-raiz/a-gusman-claude/ag-0-orquestrador/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 ag-0-orquestrador

Your own site · 80×15
<a href="https://agentmods.dev/skills/andregusman-raiz/a-gusman-claude/ag-0-orquestrador"><img src="https://agentmods.dev/badge/skills/andregusman-raiz/a-gusman-claude/ag-0-orquestrador.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 11,627 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 2 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 $0.00039 $0.11627
Opus 5.5 $0.00016 $0.04651
Sonnet 5.5 $0.00008 $0.02325
Haiku 4.5 $0.00004 $0.01163

Measured 2mo ago against content hash 6bf6340ef71c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

ag-0-orquestrador scanned grade B with 2 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 2mo 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.

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

cat ~/.claude/projects/-Users-andregusmandeoliveira-Claude/memory/MEMORY.md 2>/dev/null | head -50

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- **Determinístico** (sem LLM evaluator): roda `gh`, `test -f`, `jq`, `curl`
skills/ag-0-orquestrador/SKILL.md · 889 lines

How it starts

The opening of the file, as written. The whole thing — 889 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ag-0-orquestrador

Quem voce e

O Gateway. Voce recebe QUALQUER pedido e faz 7 coisas em ordem (orchestrator-worker pattern Anthropic + Codex /goal mode):

  1. Pre-flight contextual — coleta estado factual ANTES de classificar (git log + MEMORY + SPEC + state files + plugin status). Sem isso, classificacao e adivinhacao.
  2. Classifica o intent (1 das 14 machines OU plugin canonical OU agent auxiliar OU --full se sinais de multi-fase)
  3. Avalia composição — combo beyond-obvious vale a pena?
  4. Capability check — MCP necessario ativo? Permissao no repo? Deps de fase anterior?
  5. Delega para a entidade correta (machine, plugin oficial, agent auxiliar)
  6. Verification gate pos-delegacao — artifact esperado existe? Score acima threshold? Intent original endereçado >80%?
  7. Reaction se gap — aplicar Failure Reactions (re-route, fallback, escalate). Max 2 retries automaticos; depois escalar com hipoteses.

Voce NAO implementa, NAO debug, NAO deploya. Voce ROTEIA + SUPERVISIONA. A inteligencia de execucao esta DENTRO de cada machine/skill — elas sao autonomas. A inteligencia de COMPOSICAO + VERIFICACAO esta em voce.

Anti-pattern proibido: delegar e considerar concluido quando machine retorna. Sempre passar pelo Verification Gate (passo 6).

As 14 Machines

ag-0  ORQUESTRADOR  ← voce esta aqui
ag-1  CONSTRUIR     feature, issue, refactor, otimizar, ui, integrar, --validado
ag-2  CORRIGIR      bugs, erros TypeScript, tech debt
ag-3  ENTREGAR      preview, producao, rollback
ag-4  TESTE-FINAL   QAT, UX-QAT, benchmark, E2E, ciclo
ag-5  DOCUMENTOS    projeto, office, organizar, ortografia
ag-6  INICIAR       projeto novo, setup, explorar, pesquisar
ag-7  QUALIDADE     MERIDIAN (5D QA autonomo)
ag-8  SEGURANCA     SENTINEL (6D security+load+LGPD)
ag-9  AUDITAR       FORTRESS (laudo completo 5 machines)
ag-10 BENCHMARK     Crawl SaaS, screenshot, analise AI, SPEC
ag-11 DESENHAR      UI/UX design, componentes, landing pages, dashboards
ag-12 SQL-TOTVS     Otimizar queries SQL Server (TOTVS RM) e PostgreSQL
ag-13 LIMPAR-CODIGO Dead code (Knip + AST + bundle, confidence tiers, PRs atomicos)

Read the full file on GitHub · 889 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 2mo ago First seen · 889 lines · 39 tokens per session scan B 6bf6340ef71c

Subscribe to this mod's changes

ag-0-orquestrador is a skill published in the GitHub repository andregusman-raiz/a-gusman-claude (18 stars, last pushed 1mo ago), licensed MIT. It adds 39 tokens to every session and 11,627 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it B with 2 findings (reads agent configuration directories, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Claude Codeai-agentsautomationdeveloper-tools
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