multi-execute

multi-execute is a command for coding agents from mturac/everything-openai-codex. It costs 16 tokens per session (2,644 once invoked), scanned A, a copy of multi-execute, MIT.

A command that carries out a previously approved multi-model implementation plan, with one coding agent making and refining the file changes.

In plain words
What is it for?
Use it to implement planned features, refactor prototype changes, and audit the finished work.
Why use it?
It turns an agreed plan into working code while adding checks between stages and reviewing the result afterward.

Command

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 commands/mturac/everything-openai-codex/multi-execute
Clone the repo
git clone --depth 1 https://github.com/mturac/everything-openai-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 multi-execute

README.md
[![agentmods](https://agentmods.dev/badge/commands/mturac/everything-openai-codex/multi-execute.svg)](https://agentmods.dev/commands/mturac/everything-openai-codex/multi-execute)
Your own site
<a href="https://agentmods.dev/commands/mturac/everything-openai-codex/multi-execute"><img src="https://agentmods.dev/badge/commands/mturac/everything-openai-codex/multi-execute.svg" alt="Measured on agentmods" height="20"></a>
Per session 16 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,644 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 84% 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 $0.00016 $0.02644
Opus 5 $0.00008 $0.01322
Sonnet 5 $0.00003 $0.00529
Haiku 4.5 $0.00002 $0.00264

Measured 2d ago against content hash e2e0ee043d1f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

multi-execute 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 2d 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

84% identical to multi-execute — 41 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.

commands/multi-execute.md · 320 lines

How it starts

The opening of the file, as written. The whole thing — 320 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Execute - Multi-Model Collaborative Execution

Multi-model collaborative execution - Get prototype from plan → Codex refactors and implements → Multi-model audit and delivery.

$ARGUMENTS


Core Protocols

  • Language Protocol: Use English when interacting with tools/models, communicate with user in their language
  • Code Sovereignty: External models have zero filesystem write access, all modifications by Codex
  • Dirty Prototype Refactoring: Treat Codex/Gemini Unified Diff as "dirty prototype", must refactor to production-grade code
  • Stop-Loss Mechanism: Do not proceed to next phase until current phase output is validated
  • Prerequisite: Only execute after user explicitly replies "Y" to /ccg:plan output (if missing, must confirm first)

Multi-Model Call Specification

Call Syntax (parallel: use run_in_background: true):

# Resume session call (recommended) - Implementation Prototype
Bash({
  command: "~/.codex/bin/codeagent-wrapper {{LITE_MODE_FLAG}}--backend <codex|gemini> {{GEMINI_MODEL_FLAG}}resume <SESSION_ID> - \"$PWD\" <<'EOF'
ROLE_FILE: <role prompt path>
<TASK>
Requirement: <task description>
Context: <plan content + target files>
</TASK>
OUTPUT: Unified Diff Patch ONLY. Strictly prohibit any actual modifications.
EOF",
  run_in_background: true,
  timeout: 3600000,
  description: "Brief description"
})

# New session call - Implementation Prototype
Bash({
  command: "~/.codex/bin/codeagent-wrapper {{LITE_MODE_FLAG}}--backend <codex|gemini> {{GEMINI_MODEL_FLAG}}- \"$PWD\" <<'EOF'
ROLE_FILE: <role prompt path>
<TASK>
Requirement: <task description>
Context: <plan content + target files>
</TASK>
OUTPUT: Unified Diff Patch ONLY. Strictly prohibit any actual modifications.
EOF",
  run_in_background: true,
  timeout: 3600000,
  description: "Brief description"
})

Audit Call Syntax (Code Review / Audit):

Bash({
  command: "~/.codex/bin/codeagent-wrapper {{LITE_MODE_FLAG}}--backend <codex|gemini> {{GEMINI_MODEL_FLAG}}resume <SESSION_ID> - \"$PWD\" <<'EOF'
ROLE_FILE: <role prompt path>
<TASK>
Scope: Audit the final code changes.
Inputs:
- The applied patch (git diff / final unified diff)
- The touched files (relevant excerpts if needed)
Constraints:
- Do NOT modify any files.
- Do NOT output tool commands that assume filesystem access.
</TASK>
OUTPUT:
1) A prioritized list of issues (severity, file, rationale)
2) Concrete fixes; if code changes are needed, include a Unified Diff Patch in a fenced code block.
EOF",
  run_in_background: true,
  timeout: 3600000,
  description: "Brief description"
})

Read the full file on GitHub · 320 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. 2d ago First seen · 320 lines · 16 tokens per session scan A e2e0ee043d1f

Subscribe to this mod's changes

multi-execute is a command published in the GitHub repository mturac/everything-openai-codex (89 stars, last pushed 12d ago), licensed MIT. It adds 16 tokens to every session and 2,644 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 84% identical to multi-execute, differing in 41 lines, and is treated as a copy.