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.
npx skills add henryalouf/ruflow --skill agent-orchestratorgit clone --depth 1 https://github.com/henryalouf/ruflowWrote 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.
[](https://agentmods.dev/skills/henryalouf/ruflow/agent-orchestrator)<a href="https://agentmods.dev/skills/henryalouf/ruflow/agent-orchestrator"><img src="https://agentmods.dev/badge/skills/henryalouf/ruflow/agent-orchestrator/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.
<a href="https://agentmods.dev/skills/henryalouf/ruflow/agent-orchestrator"><img src="https://agentmods.dev/badge/skills/henryalouf/ruflow/agent-orchestrator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00041 | $0.02202 |
| Opus 5 | $0.00020 | $0.01101 |
| Sonnet 5 | $0.00008 | $0.00440 |
| Haiku 4.5 | $0.00004 | $0.00220 |
Grade A, and why
agent-orchestrator 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 7d 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.
This is a copy
91% identical to agent-orchestrator — 7 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 317 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Orchestrator
Overview
Meta-skill que orquestra todos os agentes do ecossistema. Scan automatico de skills, match por capacidades, coordenacao de workflows multi-skill e registry management.
When to Use This Skill
- When you need specialized assistance with this domain
Do Not Use This Skill When
- The task is unrelated to agent orchestrator
- A simpler, more specific tool can handle the request
- The user needs general-purpose assistance without domain expertise
How It Works
Meta-skill que funciona como camada central de decisao e coordenacao para todo o ecossistema de skills. Faz varredura automatica, identifica agentes relevantes e orquestra multiplos skills para tarefas complexas.
Principio: Zero Intervencao Manual
- SEMPRE faz varredura antes de processar qualquer solicitacao
- Novas skills sao auto-detectadas e incluidas ao criar SKILL.md em qualquer subpasta
- Skills removidas sao auto-excluidas do registry
- Nenhum comando manual e necessario para registrar novas skills
Workflow Obrigatorio (Toda Solicitacao)
Execute estes passos ANTES de processar qualquer request do usuario. Os scripts usam paths relativos automaticamente - funciona de qualquer diretorio.
Passo 1: Auto-Discovery (Varredura)
python agent-orchestrator/scripts/scan_registry.py
Ultra-rapido (<100ms) via cache de hashes MD5. So re-processa arquivos alterados. Retorna JSON com resumo de todos os skills encontrados.
Passo 2: Match De Skills
python agent-orchestrator/scripts/match_skills.py "<solicitacao do usuario>"
Retorna JSON com skills ranqueadas por relevancia. Interpretar o resultado:
| Resultado | Acao |
|---|---|
matched: 0 |
Nenhum skill relevante. Operar normalmente sem skills. |
matched: 1 |
Um skill relevante. Carregar seu SKILL.md e seguir. |
matched: 2+ |
Multiplos skills. Executar Passo 3 (orquestracao). |
What ships with it
6 files 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.
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.
- 7d ago First seen · 317 lines · 41 tokens per session scan A 9abfc11780ec
agent-orchestrator is a skill published in the GitHub repository henryalouf/ruflow (128 stars, last pushed 3mo ago), licensed MIT. It adds 41 tokens to every session and 2,202 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to agent-orchestrator, differing in 7 lines, and is treated as a copy.
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