plan

plan is a skill for Claude Code, Codex from Yeachan-Heo/oh-my-codex. It costs 8 tokens per session (899 once invoked), scanned A, original, MIT.

A lightweight task-planning aid with an optional interview to clarify the work before coding.

In plain words
What is it for?
Use it to outline coding tasks and, when needed, answer questions that define the scope.
Why use it?
It helps turn an unclear request into a workable plan without requiring a long planning process.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: $skill-name invocation.

Good fit Use it to outline coding tasks and, when needed, answer questions that define the scope.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yeachan-heo/oh-my-codex/plan
About the project

oh-my-codex is a workflow layer for OpenAI Codex CLI that adds prompts, agent teams, skills, hooks, HUDs, and other runtime assistance while leaving Codex as the execution engine. It is for people who use Codex CLI and want structured workflows and additional help as tasks become larger. The catalogue entries are its skills, hooks, and MCP integrations for those Codex workflows.

Yeachan-Heo/oh-my-codex · 33,629 stars · on GitHub · oh-my-codex.dev

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 Yeachan-Heo/oh-my-codex --skill plan
Clone the repo
git clone --depth 1 https://github.com/Yeachan-Heo/oh-my-codex

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/yeachan-heo/oh-my-codex/plan/github.svg)](https://agentmods.dev/skills/yeachan-heo/oh-my-codex/plan)
Your own site
<a href="https://agentmods.dev/skills/yeachan-heo/oh-my-codex/plan"><img src="https://agentmods.dev/badge/skills/yeachan-heo/oh-my-codex/plan/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

Your own site · 80×15
<a href="https://agentmods.dev/skills/yeachan-heo/oh-my-codex/plan"><img src="https://agentmods.dev/badge/skills/yeachan-heo/oh-my-codex/plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 8 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 899 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. ✓ AI security review Fable 5.1 · 6 Sept 2026 📄 Read the review Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00008 $0.00899
Opus 5.5 $0.00003 $0.00360
Sonnet 5.5 $0.00002 $0.00180
Haiku 4.5 $0.00001 $0.00090

Measured 1mo ago against content hash 4a2312fee52f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

plan 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.

plugins/oh-my-codex/skills/plan/SKILL.md · 95 lines

How it starts

The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.

<Use_When>

  • Planning before implementation — "plan this", "let's plan"
  • Requirements are vague and need scoping — use --interview
  • Reviewing an existing plan — --review </Use_When>

<Do_Not_Use_When>

  • Want direct execution — execute the scoped task directly; use ultragoal only for durable goals or team for coordinated parallel work
  • Simple focused fix with obvious scope — skip planning </Do_Not_Use_When>

<Execution_Policy>

  • Auto-detect interview vs direct; --interview forces Socratic mode, --direct skips it
  • Ask one question at a time; gather codebase facts first
  • omx explore is deprecated. Use normal repository inspection for codebase facts; omx sparkshell only for explicit shell-native evidence
  • Plans must be evidence-backed: 80%+ claims cite file/line, 90%+ criteria testable
  • Right-size steps to scope; save to .omx/plans/ </Execution_Policy>

Mode Selection

Mode Trigger Behavior
Interview --interview or broad request Socratic requirements gathering
Direct --direct or detailed request Generate plan immediately
Review --review Critic evaluation of existing plan

Interview (--interview)

  1. Classify request; ask one focused question via omx question
  2. Gather codebase facts first, then ask informed follow-ups
  3. Build on answers; consult Analyst for hidden requirements
  4. Create plan when user signals readiness

Direct

  1. Quick analysis (optional Analyst)
  2. Generate plan immediately
  3. Optional Critic review if requested

Review (--review)

  1. Read plan from .omx/plans/
  2. Evaluate via Critic; verdict APPROVED/REVISE/REJECT
  3. If author == reviewer, hand off to $code-review

Output

Every plan includes: Requirements Summary, Acceptance Criteria (testable), Implementation Steps (with file refs, adaptive count), Risks/Mitigations, Verification. Saved to .omx/plans/.

Read the full file on GitHub · 95 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 Changed 4a2312fee52f
  2. 1mo ago First seen · 95 lines · 8 tokens per session scan A 31badb8a5a61

Subscribe to this mod's changes

plan is a skill published in the GitHub repository Yeachan-Heo/oh-my-codex (33,629 stars, last pushed today), licensed MIT. It adds 8 tokens to every session and 899 once invoked, about $0.0000 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.

Related

Other skills, from other repositories

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

component-fixtures

Use when creating or updating component fixtures for screenshot testing or their shared infrastructure, or when designing UI components to be fixture-friendly. Covers fixture file structure, theming, service setup, CSS scoping, async rendering, validation, and common pitfalls.

microsoft/vscode · 53 tokens