ccc-orchestrate

ccc-orchestrate is a skill for Claude Code, Codex from KevinZai/commander. It costs 55 tokens per session (2,389 once invoked), scanned A, original, MIT.

A coordinator that turns a broad request into a detailed goal file, sends the work to another model or coding runtime, and checks the result against acceptance criteria. Acceptance criteria are the conditions that define whether the work is complete.

In plain words
What is it for?
Use it to delegate coding tasks across different AI runtimes, provide clear implementation requirements, and verify that the finished work meets the stated conditions.
Why use it?
It separates planning, implementation, and checking so a vague request is made testable before another system executes it.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/kevinzai/commander/ccc-orchestrate
Any agent
npx skills add KevinZai/commander --skill ccc-orchestrate
Clone the repo
git clone --depth 1 https://github.com/KevinZai/commander

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 ccc-orchestrate

README.md
[![agentmods](https://agentmods.dev/badge/skills/kevinzai/commander/ccc-orchestrate.svg)](https://agentmods.dev/skills/kevinzai/commander/ccc-orchestrate)
Your own site
<a href="https://agentmods.dev/skills/kevinzai/commander/ccc-orchestrate"><img src="https://agentmods.dev/badge/skills/kevinzai/commander/ccc-orchestrate.svg" alt="Measured on agentmods" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,389 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found 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 $0.00055 $0.02389
Opus 5 $0.00028 $0.01195
Sonnet 5 $0.00011 $0.00478
Haiku 4.5 $0.00006 $0.00239

Measured 4d ago against content hash aee7b01a803e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ccc-orchestrate 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.

commander/cowork-plugin-codex/skills/ccc-orchestrate/SKILL.md · 179 lines

How it starts

The opening of the file, as written. The whole thing — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.

$ccc-orchestrate — Cross-Runtime Orchestrator/Executor

Orchestrate splits work across two different model runtimes, not just two tiers of the same one. A capable model (Fable 5 or Opus 5 — the calling session, i.e. "you") compresses a fuzzy request into a tight, testable goal file. Execution then happens outside this runtime entirely — on GPT-5.6 Sol via the codex CLI, or on a Sonnet subagent if codex isn't available. The orchestrator never writes production code itself.

CC Commander · Cross-Runtime Orchestrate · Docs

This is $ccc-plan-exec generalized past Claude-only: instead of plan (cheap Claude) → execute (capable Claude), it's plan (Fable/Opus) → execute (a different runtime — GPT-5.6 or Sonnet). The goal file is the interface between the two systems, so it has to have real teeth.


Why cross-runtime

Fable/Opus is expensive per token but excellent at compressing a fuzzy request into a tight, unambiguous spec. GPT-5.6 Sol at high/xhigh reasoning is a strong, comparatively cheaper implementer for well-specified work. The split only pays for itself if the goal file is genuinely load-bearing — vague or hand-wavy acceptance criteria collapse the whole advantage, because the orchestrator ends up re-explaining the task on every re-dispatch anyway. Write the goal file as if the executor has zero conversational context, because on the codex path it does.

Model guidance (GPT-5.6 family, commander/adapters/codex/models.js): default the executor to Sol for real implementation work (deep dev — flagship reasoning). Drop to Terra for balanced, well-specified tasks where Sol's extra reasoning wouldn't change the output. Reserve Luna for cheap, mechanical steps (renames, boilerplate, formatting) inside a larger loop — never for the primary executor role.


The two roles

  1. Orchestrator (Fable 5, effort high, or Opus 5 — this session) — reads the request, asks clarifying questions if the scope is fuzzy, and writes a structured goal file to disk. Never edits production code in this mode.
  2. Executor (GPT-5.6 Sol via codex, or Sonnet subagent) — reads the goal file verbatim as its entire brief and implements it. Does not re-plan, re-scope, or renegotiate the acceptance criteria.

Read the full file on GitHub · 179 lines

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 · 179 lines · 55 tokens per session scan A aee7b01a803e

Subscribe to this mod's changes

ccc-orchestrate is a skill published in the GitHub repository KevinZai/commander (6 stars, last pushed today), licensed MIT. It adds 55 tokens to every session and 2,389 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 2026-08-31.