plan-execute

plan-execute is a skill for Claude Code, Codex from longranger2/claude-gpt-workflow. It costs 62 tokens per session (1,370 once invoked), scanned A, original, MIT.

A workflow for carrying out a finalized implementation plan with one agent writing code and another reviewing it.

In plain words
What is it for?
Use it with a plan file to implement its steps, record reviews, fix reported problems, and repeat the process until the quality bar is met.
Why use it?
It creates a repeatable review-and-fix cycle so identified code issues can be addressed before the work is considered complete.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions CLAUDE.md; mentions Claude Code; mentions Codex.

Good fit Use it with a plan file to implement its steps, record reviews, fix reported problems, and repeat the process until the quality bar is met.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/longranger2/claude-gpt-workflow/plan-execute
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.

Any agent
npx skills add longranger2/claude-gpt-workflow --skill plan-execute
Clone the repo
git clone --depth 1 https://github.com/longranger2/claude-gpt-workflow

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 plan-execute

README.md
[![agentmods](https://agentmods.dev/badge/skills/longranger2/claude-gpt-workflow/plan-execute/github.svg)](https://agentmods.dev/skills/longranger2/claude-gpt-workflow/plan-execute)
Your own site
<a href="https://agentmods.dev/skills/longranger2/claude-gpt-workflow/plan-execute"><img src="https://agentmods.dev/badge/skills/longranger2/claude-gpt-workflow/plan-execute/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.

agentmods 80×15 button for plan-execute

Your own site · 80×15
<a href="https://agentmods.dev/skills/longranger2/claude-gpt-workflow/plan-execute"><img src="https://agentmods.dev/badge/skills/longranger2/claude-gpt-workflow/plan-execute.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,370 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00062 $0.01370
Opus 5.5 $0.00025 $0.00548
Sonnet 5.5 $0.00012 $0.00274
Haiku 4.5 $0.00006 $0.00137

Measured 1mo ago against content hash 3b57c8a65e58, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

plan-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 1mo 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.

plan-execute/SKILL.md · 153 lines

How it starts

The opening of the file, as written. The whole thing — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Plan Execute Skill

Purpose

When the user runs /plan-execute {plan-file-path}, start the "orchestrated plan execution" workflow:

  1. I (Claude Code) ask Codex to implement the code according to the plan.
  2. After Codex finishes, I review the generated code.
  3. I write the review into the reviews/ directory, then ask Codex to inspect and fix the issues.
  4. Repeat until the code quality bar is met.

Core principle: I do not write or edit code myself. I only do two things: review code and orchestrate Codex. All code changes, including implementation and fixes, are performed by Codex.

Usage

/plan-execute plans/my-feature-plan.md

Session Reuse

After each Codex invocation, extract session_id=xxx from the script output and save it as the session ID for the current task. In later Codex calls for the same task, pass --session <id> to reuse context so Codex remembers prior implementation and fix history instead of rereading the entire codebase every time.

My Workflow (Claude Code)

Step 1: Read the Plan and Split Execution Steps

Read the specified plan file and understand:

  • The overall goal and scope of the plan
  • The list of files to create or modify
  • The order of implementation steps
  • Relevant project conventions, especially from CLAUDE.md

If the plan already contains a checklist (- [ ] / - [x]), use those items as execution units. If it does not define clear steps, split the work into reasonable batches, with no more than 5 file changes per batch.

Step 2: Ask Codex to Implement the Code

Use the /codex skill and give Codex the following instruction:

Implement the code according to the plan in {plan-file-path}.

Current execution scope: {specific step or batch description}

Requirements:
- Follow the design in the plan exactly. Do not improvise beyond it.
- Obey the Code Quality Hard Limits defined in `CLAUDE.md`.
- Single file <= 800 lines, single function <= 50 lines, nesting <= 3 levels
- Run `pnpm build` after implementation to confirm compilation succeeds
- If the plan includes a checklist, mark completed steps as `[x]`

After implementation, list all changed files and provide a summary of each change.

Read the full file on GitHub · 153 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. 1mo ago First seen · 153 lines · 62 tokens per session scan A 3b57c8a65e58

Subscribe to this mod's changes

plan-execute is a skill published in the GitHub repository longranger2/claude-gpt-workflow (81 stars, last pushed 4mo ago), licensed MIT. It adds 62 tokens to every session and 1,370 once invoked, about $0.0002 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 2026-08-30.

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