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 agentmods add commands/mturac/everything-openai-codex/multi-plangit clone --depth 1 https://github.com/mturac/everything-openai-codexWrote 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/commands/mturac/everything-openai-codex/multi-plan)<a href="https://agentmods.dev/commands/mturac/everything-openai-codex/multi-plan"><img src="https://agentmods.dev/badge/commands/mturac/everything-openai-codex/multi-plan.svg" alt="Measured on agentmods" 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 | $0.00011 | $0.02328 |
| Opus 5 | $0.00005 | $0.01164 |
| Sonnet 5 | $0.00002 | $0.00466 |
| Haiku 4.5 | $0.00001 | $0.00233 |
Grade C, and why
multi-plan scanned grade C with 2 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.
Asks the agent to reveal its instructionsmediumSystem prompt leakage
Directions to print, repeat or translate the system prompt extract configuration the operator did not intend to expose.
3. Output prompt in **bold text** (MUST use actual saved file path): Unrestricted tool accessmediumExcessive agency
A wildcard tool grant or "run any command" leaves no least-privilege boundary at all.
1. **Plan only, no implementation** – This command does not execute any code changes This is a copy
86% identical to multi-plan — 63 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.
How it starts
The opening of the file, as written. The whole thing — 273 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Plan - Multi-Model Collaborative Planning
Multi-model collaborative planning - Context retrieval + Dual-model analysis → Generate step-by-step implementation plan.
$ARGUMENTS
Core Protocols
- Language Protocol: Use English when interacting with tools/models, communicate with user in their language
- Mandatory Parallel: Codex/Gemini calls MUST use
run_in_background: true(including single model calls, to avoid blocking main thread) - Code Sovereignty: External models have zero filesystem write access, all modifications by Codex
- Stop-Loss Mechanism: Do not proceed to next phase until current phase output is validated
- Planning Only: This command allows reading context and writing to
.codex/plan/*plan files, but NEVER modify production code
Multi-Model Call Specification
Call Syntax (parallel: use run_in_background: true):
Bash({
command: "~/.codex/bin/codeagent-wrapper {{LITE_MODE_FLAG}}--backend <codex|gemini> {{GEMINI_MODEL_FLAG}}- \"$PWD\" <<'EOF'
ROLE_FILE: <role prompt path>
<TASK>
Requirement: <enhanced requirement>
Context: <retrieved project context>
</TASK>
OUTPUT: Step-by-step implementation plan with pseudo-code. DO NOT modify any files.
EOF",
run_in_background: true,
timeout: 3600000,
description: "Brief description"
})
Model Parameter Notes:
{{GEMINI_MODEL_FLAG}}: When using--backend gemini, replace with--gemini-model gemini-3-pro-preview(note trailing space); use empty string for codex
Role Prompts:
| Phase | Codex | Gemini |
|---|---|---|
| Analysis | ~/.codex/.ccg/prompts/codex/analyzer.md |
~/.codex/.ccg/prompts/gemini/analyzer.md |
| Planning | ~/.codex/.ccg/prompts/codex/architect.md |
~/.codex/.ccg/prompts/gemini/architect.md |
Session Reuse: Each call returns SESSION_ID: xxx (typically output by wrapper), MUST save for subsequent /ccg:execute use.
Wait for Background Tasks (max timeout 600000ms = 10 minutes):
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.
- 2d ago First seen · 273 lines · 11 tokens per session scan C 0aca3a7607ac
multi-plan is a command published in the GitHub repository mturac/everything-openai-codex (89 stars, last pushed 12d ago), licensed MIT. It adds 11 tokens to every session and 2,328 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it C with 2 findings (asks the agent to reveal its instructions, unrestricted tool access). It is 86% identical to multi-plan, differing in 63 lines, and is treated as a copy.
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