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 roedyrustam/vibes-plug --skill multi-agent-orchestrationgit clone --depth 1 https://github.com/roedyrustam/vibes-plugWrote 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/roedyrustam/vibes-plug/multi-agent-orchestration)<a href="https://agentmods.dev/skills/roedyrustam/vibes-plug/multi-agent-orchestration"><img src="https://agentmods.dev/badge/skills/roedyrustam/vibes-plug/multi-agent-orchestration.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 157 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Excessive Agency · line 245 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00050 | $0.03655 |
| Opus 5 | $0.00025 | $0.01827 |
| Sonnet 5 | $0.00010 | $0.00731 |
| Haiku 4.5 | $0.00005 | $0.00365 |
Grade A, and why
multi-agent-orchestration 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 4d 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 — 275 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Multi-Agent Orchestration Expert (2026 Edition)
English
Orchestration & Integration
Connects and orchestrates with relevant domain skills like brainstorming, zero-to-prod-orchestrator, and project-context-mapper to ensure cohesive execution.
Description
Expert guide for designing, building, and deploying production-grade multi-agent AI systems. Covers agent orchestration frameworks (LangGraph, OpenAI Agents SDK, Google ADK, Mastra.ai, CrewAI, AutoGen), shared state and memory management, tool execution, human-in-the-loop (HITL) guardrails, and observability for agentic workflows.
Swarm Synergy: This skill acts as a powerful orchestrator when combined with mcp-server-architect (for external tool integration) and ai-llm-integration-expert (for foundation model setup). Together, they form a complete, end-to-end AI Engineering Swarm.
Trigger Conditions
- Building autonomous AI agents that execute multi-step tasks.
- Designing systems where multiple specialized AI agents collaborate.
- Implementing graph-based agent workflows with LangGraph or similar frameworks.
- Integrating human-in-the-loop checkpoints for high-stakes decisions.
- Building AI pipelines with tool-calling, RAG retrieval, code execution, or browser control.
- Evaluating and selecting agent frameworks (LangGraph vs OpenAI Agents SDK vs Google ADK).
Agent Framework Comparison (2026)
| Framework | Language | Best For | Key Differentiator |
|---|---|---|---|
| LangGraph | Python / TypeScript | Complex stateful workflows | Graph-based, any LLM, full control |
| OpenAI Agents SDK | Python | GPT-5 native agents | Built-in handoffs, tracing, guardrails |
| Google ADK | Python | Gemini-powered agents | Multi-agent, Vertex AI, streaming |
| Mastra.ai | TypeScript | TS-first agent apps | Built-in memory, evals, RAG, MCP |
| CrewAI | Python | Team-of-agents tasks | Role-based agents, easy to start |
| AutoGen | Python | Research & LLM evaluation | Conversation-driven agents |
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.
- 4d ago First seen · 275 lines · 50 tokens per session scan A 22eb023a3e2c
multi-agent-orchestration is a skill published in the GitHub repository roedyrustam/vibes-plug (49 stars, last pushed today), licensed MIT. It adds 50 tokens to every session and 3,655 once invoked, about $0.0003 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 2026-09-03.
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