ralplan

ralplan is a skill for Claude Code from Yeachan-Heo/oh-my-claudecode. It costs 21 tokens per session (2,459 once invoked), scanned A, original, MIT.

A planning workflow that gathers multiple technical viewpoints and checks a proposed plan before coding begins.

In plain words
What is it for?
Use it to plan broad or high-risk coding tasks, review an existing plan, or reach consensus through planner, architect, and critic stages.
Why use it?
It helps expose vague requirements, architectural concerns, and risks before implementation creates rework.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: names the AskUserQuestion tool; mentions Codex.

Part of the oh-my-claudecode plugin — 37 skills, 21 commands, 19 agents, 11 hooks, 1 MCP server shipped together

Good fit Use it to plan broad or high-risk coding tasks, review an existing plan, or reach consensus through planner, architect, and critic stages.

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

Oh My Claude Code is a multi-agent orchestration system for Claude Code, coordinating specialized agents, commands, skills, hooks, and workflows. It is designed for developers who want Claude Code to handle coding tasks through coordinated agent roles. Catalogue entries are components of its Claude Code workflow, including agents, commands, skills, hooks, instructions, MCP configuration, and a plugin.

Yeachan-Heo/oh-my-claudecode · 39,083 stars · on GitHub · oh-my-claudecode.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-claudecode --skill ralplan
Clone the repo
git clone --depth 1 https://github.com/Yeachan-Heo/oh-my-claudecode

Made for: Claude Code.

Or install oh-my-claudecode, the plugin that ships this one along with the rest of its 37 skills, 21 commands, 19 agents, 11 hooks, 1 MCP server.

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 ralplan

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/yeachan-heo/oh-my-claudecode/ralplan"><img src="https://agentmods.dev/badge/skills/yeachan-heo/oh-my-claudecode/ralplan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 21 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,459 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. Third-party audits
  • Socket pass 29 May 2026
  • Snyk pass 29 May 2026
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 20
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 $0.00021 $0.02459
Opus 5 $0.00010 $0.01229
Sonnet 5 $0.00004 $0.00492
Haiku 4.5 $0.00002 $0.00246

Measured 8d ago against content hash cf4591a6886e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

ralplan 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 8d 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

Copies of this mod

1 near-identical copy found in the catalogue:

  • ralplan — 95% identical, 10 lines differ
skills/ralplan/SKILL.md · 141 lines

How it starts

The opening of the file, as written. The whole thing — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Ralplan (Consensus Planning Alias)

Ralplan is a shorthand alias for /oh-my-claudecode:plan --consensus. It triggers iterative planning with Planner, Architect, and Critic agents until consensus is reached, with RALPLAN-DR structured deliberation (short mode by default, deliberate mode for high-risk work).

Usage

/oh-my-claudecode:ralplan "task description"

Flags

  • --interactive: Enables user prompts at key decision points (draft review in step 2 and final approval in step 6). Without this flag the workflow runs fully automated — Planner → Architect → Critic loop — marks the final plan pending approval, outputs it, and stops without asking for confirmation or executing changes.
  • --deliberate: Forces deliberate mode for high-risk work. Adds pre-mortem (3 scenarios) and expanded test planning (unit/integration/e2e/observability). Without this flag, deliberate mode can still auto-enable when the request explicitly signals high risk (auth/security, migrations, destructive changes, production incidents, compliance/PII, public API breakage).
  • --architect codex: Use Codex for the Architect pass when Codex CLI is available. Otherwise, briefly note the fallback and keep the default Claude Architect review.
  • --critic codex: Use Codex for the Critic pass when Codex CLI is available. Otherwise, briefly note the fallback and keep the default Claude Critic review.

Usage with interactive mode

/oh-my-claudecode:ralplan --interactive "task description"

Behavior

Planning/Execution Boundary

Ralplan is a planning module. It may inspect context and draft or update plan/spec/proposal artifacts, but it MUST mark those artifacts as pending approval unless the user has explicitly opted into execution in the current turn or via the structured approval UI. Before explicit execution approval, it MUST NOT run mutation-oriented shell commands, edit source files, commit, push, open PRs, invoke execution skills, or delegate implementation tasks.

Read the full file on GitHub · 141 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. 8d ago First seen · 141 lines · 21 tokens per session scan A cf4591a6886e

Subscribe to this mod's changes

ralplan is a skill published in the GitHub repository Yeachan-Heo/oh-my-claudecode (39,083 stars, last pushed yesterday), licensed MIT. It adds 21 tokens to every session and 2,459 once invoked, about $0.0001 per session on Opus 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 2026-09-03.

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