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 shahtuyakov/claude-setup --skill agent-orchestrationgit clone --depth 1 https://github.com/shahtuyakov/claude-setupWrote 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/shahtuyakov/claude-setup/agent-orchestration)<a href="https://agentmods.dev/skills/shahtuyakov/claude-setup/agent-orchestration"><img src="https://agentmods.dev/badge/skills/shahtuyakov/claude-setup/agent-orchestration/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/shahtuyakov/claude-setup/agent-orchestration"><img src="https://agentmods.dev/badge/skills/shahtuyakov/claude-setup/agent-orchestration.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 | $0.00046 | $0.01691 |
| Opus 5 | $0.00023 | $0.00846 |
| Sonnet 5 | $0.00009 | $0.00338 |
| Haiku 4.5 | $0.00005 | $0.00169 |
Grade A, and why
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 9d 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 — 309 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Orchestration Skill
Overview
This skill provides patterns for orchestrating multi-agent workflows using the Hub Architecture. In this pattern:
- Subagents cannot directly spawn other subagents
- The main conversation acts as a hub that routes requests between agents
- Agents communicate via structured delegation requests
Delegation Request Protocol
Single Agent Request
When an agent needs help from one other agent:
{
"delegation_request": {
"agent": "database",
"reason": "Need users schema before implementing auth",
"prompt": "Create users table with id, email, password_hash, created_at",
"blocking": true
}
}
| Field | Description |
|---|---|
agent |
Target agent: database, backend, frontend, ios, devops, designer |
reason |
Why this delegation is needed |
prompt |
Specific instructions for the target agent |
blocking |
If true, wait for completion before continuing |
Multi-Agent Request
When orchestrating multiple agents (typically from architect):
{
"delegation_request": {
"type": "sequential",
"agents": [
{
"agent": "database",
"task_id": "auth-001",
"prompt": "Create users and sessions tables",
"depends_on": null
},
{
"agent": "backend",
"task_id": "auth-001",
"prompt": "Implement auth endpoints",
"depends_on": "database"
},
{
"agent": "frontend",
"task_id": "auth-001",
"prompt": "Create login/register forms",
"depends_on": "backend"
},
{
"agent": "ios",
"task_id": "auth-001",
"prompt": "Create auth screens",
"depends_on": "backend"
}
],
"parallel_groups": [
["frontend", "ios"]
],
"context_file": ".agents/architect/current-plan.md",
"return_to": "architect"
}
}
| Field | Description |
|---|---|
type |
sequential, parallel, or mixed |
agents |
Array of agent tasks |
depends_on |
Agent that must complete first (null = no dependency) |
parallel_groups |
Arrays of agents that can run concurrently |
context_file |
Shared context file for all agents (JSON format: .agents/architect/current-plan.json) |
return_to |
Agent to receive aggregated results |
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.
- 9d ago First seen · 309 lines · 46 tokens per session scan A 2771a4578011
agent-orchestration is a skill published in the GitHub repository shahtuyakov/claude-setup (13 stars, last pushed 8mo ago), licensed MIT. It adds 46 tokens to every session and 1,691 once invoked, about $0.0002 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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