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 khalilbenaz/claude-skills-collection --skill multi-agent-orchestratorgit clone --depth 1 https://github.com/khalilbenaz/claude-skills-collectionWrote 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/khalilbenaz/claude-skills-collection/multi-agent-orchestrator)<a href="https://agentmods.dev/skills/khalilbenaz/claude-skills-collection/multi-agent-orchestrator"><img src="https://agentmods.dev/badge/skills/khalilbenaz/claude-skills-collection/multi-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/khalilbenaz/claude-skills-collection/multi-agent-orchestrator"><img src="https://agentmods.dev/badge/skills/khalilbenaz/claude-skills-collection/multi-agent-orchestrator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00111 | $0.02089 |
| Opus 5 | $0.00056 | $0.01045 |
| Sonnet 5 | $0.00022 | $0.00418 |
| Haiku 4.5 | $0.00011 | $0.00209 |
Grade A, and why
multi-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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 220 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Multi-Agent Orchestrator
Quand utiliser ce skill
Utilise ce skill dès qu'une tâche gagne à être décomposée en sous-tâches spécialisées et exécutées par des agents distincts : pipelines de recherche parallèle, systèmes supervisor/worker, débats multi-agents, workflows ETL IA, etc.
Seuil de déclenchement — un seul agent suffit si la tâche est linéaire et tient en un contexte. Passe en multi-agent si :
- la tâche nécessite des spécialisations différentes (recherche + rédaction + validation),
- des sous-tâches peuvent s'exécuter en parallèle,
- la fenêtre de contexte d'un agent unique serait saturée.
Choix du pattern (critères de décision)
| Pattern | Quand l'utiliser | Complexité |
|---|---|---|
| Supervisor / Router | Tâche décomposable en N sous-tâches distinctes ; résultats à consolider | Faible |
| Pipeline séquentiel | Sous-tâches avec dépendances strictes A→B→C | Faible |
| Parallel fan-out | Sous-tâches indépendantes, latence critique | Moyenne |
| Hiérarchique | Organisation de type chef de projet → équipes → exécutants | Moyenne |
| Swarm | Exploration large, diversité de solutions, pas de dépendances | Haute |
| Debate / Voting | Décisions à fort enjeu, besoin de consensus ou de validation croisée | Haute |
Workflow en étapes
1. Décomposition de la tâche
Identifie les sous-tâches atomiques et leurs dépendances. Produis un graphe orienté (DAG) avant tout code.
tâche principale
├── sous-tâche A (indépendante)
├── sous-tâche B (indépendante)
└── sous-tâche C (dépend de A + B)
Règle : si deux sous-tâches n'ont aucune dépendance, elles doivent s'exécuter en parallèle.
2. Définition des agents
Un agent = un rôle unique + un system prompt ciblé. Évite les agents "couteau suisse".
AGENTS = {
"researcher": Agent(
system="Tu es un agent de recherche. Tu extrais des faits vérifiables. "
"Retourne TOUJOURS un JSON {facts: [], sources: []}.",
tools=[web_search, fetch_url],
),
"writer": Agent(
system="Tu es un rédacteur. Tu transformes des faits structurés en prose claire.",
tools=[],
),
"validator": Agent(
system="Tu es un agent de validation. Tu détectes les affirmations non sourcées.",
tools=[],
),
}
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.
- 11d ago First seen · 220 lines · 111 tokens per session scan A 99c7a7903b22
multi-agent-orchestrator is a skill published in the GitHub repository khalilbenaz/claude-skills-collection (22 stars, last pushed 18d ago), licensed MIT. It adds 111 tokens to every session and 2,089 once invoked, about $0.0006 per session on Opus 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 2026-08-30.
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