agent-orchestrator

agent-orchestrator is a skill for Claude Code, Codex from lisihao/Solar. It costs 100 tokens per session (1,402 once invoked), scanned A, a copy of agent-orchestrator, MIT.

A meta-agent workflow that breaks a large task into smaller tasks, creates specialist sub-agents, coordinates their work, and combines their results.

In plain words
What is it for?
Use it to plan multi-part tasks, assign subtasks to autonomous agents, exchange files between them, and consolidate the completed work.
Why use it?
It helps manage complex work that is too broad for one agent by separating independent pieces and tracking their communication.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python3 scripts/create_agent.py <agent-name> --workspace <path>.

Good fit Use it to plan multi-part tasks, assign subtasks to autonomous agents, exchange files between them, and consolidate the completed work.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/lisihao/Solar
agentmods
npx agentmods add skills/lisihao/solar/agent-orchestrator

Made for: Claude Code, Codex.

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 agent-orchestrator

README.md
[![agentmods](https://agentmods.dev/badge/skills/lisihao/solar/agent-orchestrator.svg)](https://agentmods.dev/skills/lisihao/solar/agent-orchestrator)
Your own site
<a href="https://agentmods.dev/skills/lisihao/solar/agent-orchestrator"><img src="https://agentmods.dev/badge/skills/lisihao/solar/agent-orchestrator.svg" alt="Measured on agentmods" height="20"></a>
Per session 100 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,402 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod 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 $0.00100 $0.01402
Opus 5 $0.00050 $0.00701
Sonnet 5 $0.00020 $0.00280
Haiku 4.5 $0.00010 $0.00140

Measured 4d ago against content hash 19cef3165169, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

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 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.

Origin

This is a copy

100% identical to agent-orchestrator — 0 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.

skills/agent-orchestrator/SKILL.md · 176 lines

How it starts

The opening of the file, as written. The whole thing — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Orchestrator

Orchestrate complex tasks by decomposing them into subtasks, spawning autonomous sub-agents, and consolidating their work.

Core Workflow

Phase 1: Task Decomposition

Analyze the macro task and break it into independent, parallelizable subtasks:

1. Identify the end goal and success criteria
2. List all major components/deliverables required
3. Determine dependencies between components
4. Group independent work into parallel subtasks
5. Create a dependency graph for sequential work

Decomposition Principles:

  • Each subtask should be completable in isolation
  • Minimize inter-agent dependencies
  • Prefer broader, autonomous tasks over narrow, interdependent ones
  • Include clear success criteria for each subtask

Phase 2: Agent Generation

For each subtask, create a sub-agent workspace:

python3 scripts/create_agent.py <agent-name> --workspace <path>

This creates:

<workspace>/<agent-name>/
├── SKILL.md          # Generated skill file for the agent
├── inbox/            # Receives input files and instructions
├── outbox/           # Delivers completed work
├── workspace/        # Agent's working area
└── status.json       # Agent state tracking

Generate SKILL.md dynamically with:

  • Agent's specific role and objective
  • Tools and capabilities needed
  • Input/output specifications
  • Success criteria
  • Communication protocol

See references/sub-agent-templates.md for pre-built templates.

Phase 3: Agent Dispatch

Initialize each agent by:

  1. Writing task instructions to inbox/instructions.md
  2. Copying required input files to inbox/
  3. Setting status.json to {"state": "pending", "started": null}
  4. Spawning the agent using the Task tool:
# Spawn agent with its generated skill
Task(
    description=f"{agent_name}: {brief_description}",
    prompt=f"""
    Read the skill at {agent_path}/SKILL.md and follow its instructions.
    Your workspace is {agent_path}/workspace/
    Read your task from {agent_path}/inbox/instructions.md
    Write all outputs to {agent_path}/outbox/
    Update {agent_path}/status.json when complete.
    """,
    subagent_type="general-purpose"
)

Read the full file on GitHub · 176 lines

Files

What ships with it

4 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.

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. 4d ago First seen · 176 lines · 100 tokens per session scan A 19cef3165169

Subscribe to this mod's changes

agent-orchestrator is a skill published in the GitHub repository lisihao/Solar (2 stars, last pushed 24d ago), licensed MIT. It adds 100 tokens to every session and 1,402 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to agent-orchestrator, differing in 0 lines, and is treated as a copy.

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