A workflow for coordinating several language models through the Orchestrate Codex MCP server. It assigns separate tasks, gathers their results, and verifies them.

It helps run model-assisted research, documentation, reviews, and other pipelines that require planning, delegation, and verification.

It organizes multi-model work so each task has a defined role and the combined result is checked before use.

How Meapri/orchestrate-codex configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to Meapri/orchestrate-codex. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/Meapri/orchestrate-codex/main/.claude/skills/orchestrate/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/Meapri/orchestrate-codex

Made for: Claude Code.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/meapri/orchestrate-codex/orchestrate/github.svg)](https://agentmods.dev/skills/meapri/orchestrate-codex/orchestrate)

Your own site

<a href="https://agentmods.dev/skills/meapri/orchestrate-codex/orchestrate"><img src="https://agentmods.dev/badge/skills/meapri/orchestrate-codex/orchestrate/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/meapri/orchestrate-codex/orchestrate"><img src="https://agentmods.dev/badge/skills/meapri/orchestrate-codex/orchestrate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 730 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 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.

Model	Per session	Once invoked
Fable 5.1	$0.00067	$0.00730
Opus 5.5	$0.00027	$0.00292
Sonnet 5.5	$0.00013	$0.00146
Haiku 4.5	$0.00007	$0.00073

Measured 2mo ago against content hash 71436157d5c3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

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 2mo 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.

.claude/skills/orchestrate/SKILL.md · 51 lines

How it starts

The opening of the file, as written. The whole thing — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Orchestrate (Claude Code host)

You (Claude) are the orchestrator. The orchestrate-codex MCP supplies the routing brief, prepares each delegated leaf call (latest model + context + policy), and guards quality — but the plan is YOUR judgment: which sub-tasks exist, which model handles each, and what you simply do yourself.

Host-driven flow

orchestrate_advise — routing brief: available leaves, latest confirmed model ids (leaf list_models catalogs are stale — trust the brief, not leaf defaults), strength guide, doc-class policies.
You plan the sub-tasks and assignments.
Per delegation: orchestrate_step { capability, instruction, doc_class, gather?, context?, write_task?, model? } → {tool, arguments, fallback_tools, verify_after}.
Invoke that leaf tool with the prepared arguments. In Claude Code the leaf MCP servers may not be attached to the session — execute the call via the broker's leaf client instead: .venv/bin/python -c "from orchestrate_codex.leaf_client import ..." or orchestrate_run (autonomous, needs ~/.orchestrate_codex/leaves.json).
On failure try the next fallback_tools entry. If verify_after, run orchestrate_verify { text, doc_class, project_root } and re-delegate on warnings.
Synthesize results yourself; pass earlier findings forward via context.

Routing guide (defaults — override with judgment)

Claude leaf (opus) — depth, architecture analysis, rigorous review. (You may also simply do this reasoning yourself — you ARE a Claude model; delegate when you want an independent pass or to preserve your own context.)
Grok — fast, broad, genuinely independent second opinion.
Gemini write leaf — final structured authoring (readme/pr/release/translate); self-grounds durable facts. Takes task/instruction/source_text, never raw prompt.
grounded_search — current/external facts with sources.
image / review_diff / compare — image gen, git-diff review, multi-model comparison.
Do yourself: planning, file edits, running commands/tests, simple transforms.

Read the full file on GitHub · 51 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.

2mo ago First seen · 51 lines · 67 tokens per session scan A 71436157d5c3

Subscribe to this mod's changes

orchestrate is a skill published in the GitHub repository Meapri/orchestrate-codex (0 stars, last pushed 3mo ago), licensed MIT. It adds 67 tokens to every session and 730 once invoked, about $0.0003 per session on Opus 5.5. 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.

Building agents

orchestrate next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
orchestrateMeapri/orchestrate-codex	Skill	0	3mo ago	MIT	A	67	Claude Code
imagegenopenai/codex	Skill	134k	today	Apache-2.0	A	113	Codex
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	yesterday	MIT	A	200	Claude Code, Codex
playwright-climicrosoft/playwright	Skill	100k	yesterday	Apache-2.0	A	19	Claude Code
browser-automationopenclaw/openclaw	Skill	394k	today	MIT	A	36	Claude Code
systematic-debuggingobra/superpowers	Skill	314k	4d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	today	MIT	A	95	Claude Code

orchestrate-codex: Skill for Claude Code