omh-ralplan

omh-ralplan is a skill for Claude Code, Codex from witt3rd/oh-my-hermes. It costs 21 tokens per session (1,699 once invoked), scanned A, original, MIT.

A planning process in which a Planner, Architect, and Critic review an implementation plan together for up to three rounds.

In plain words
What is it for?
Use it before implementing a feature that spans several files or components, or when an architectural decision needs review.
Why use it?
It catches unclear requirements, weak architectural choices, and problems that may be missed when one person plans alone.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Good fit Use it before implementing a feature that spans several files or components, or when an architectural decision needs review.

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Install with agentmods
npx agentmods add skills/witt3rd/oh-my-hermes/omh-ralplan
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 witt3rd/oh-my-hermes --skill omh-ralplan
Clone the repo
git clone --depth 1 https://github.com/witt3rd/oh-my-hermes

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 omh-ralplan

README.md
[![agentmods](https://agentmods.dev/badge/skills/witt3rd/oh-my-hermes/omh-ralplan/github.svg)](https://agentmods.dev/skills/witt3rd/oh-my-hermes/omh-ralplan)
Your own site
<a href="https://agentmods.dev/skills/witt3rd/oh-my-hermes/omh-ralplan"><img src="https://agentmods.dev/badge/skills/witt3rd/oh-my-hermes/omh-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 omh-ralplan

Your own site · 80×15
<a href="https://agentmods.dev/skills/witt3rd/oh-my-hermes/omh-ralplan"><img src="https://agentmods.dev/badge/skills/witt3rd/oh-my-hermes/omh-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 1,699 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
  • 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 $0.00021 $0.01699
Opus 5 $0.00010 $0.00849
Sonnet 5 $0.00004 $0.00340
Haiku 4.5 $0.00002 $0.00170

Measured 11d ago against content hash 23dc404d2bd4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

omh-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 11d 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/omh/skills/omh-ralplan/SKILL.md · 146 lines

How it starts

The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.

OMH Ralplan — Consensus Planning

When to Use

  • Before implementing any feature that touches multiple files or components
  • When architectural decisions need validation from multiple perspectives
  • When you need a plan that's been stress-tested against adversarial critique
  • When the user says: "plan this", "consensus plan", "ralplan", "let's think this through"

When NOT to Use

  • Trivial single-file changes (just do them)
  • Tasks where the approach is obvious and low-risk
  • When the user explicitly wants to skip planning

Prerequisites

  • A clear goal or specification (if ambiguous, use omh-deep-interview first)
  • The delegate_task tool must be available

Procedure

Phase 0: Context Gathering

Before planning, gather project context:

  1. Read relevant files to understand the codebase structure
  2. Identify existing patterns, conventions, and constraints
  3. Summarize context into a brief (~500 words) that all agents will receive

Phase 1: Planning Loop (max 3 rounds)

Round 1 — All Sequential (Planner → Architect → Critic):

Step 1 — Planner (single delegate_task)

delegate_task(
    goal="[omh-role:planner] Create an implementation plan for: {goal}\n\n{detailed_requirements}",
    context="# Project Context\n\n{project_context}"
)

The goal should include the full specification — don't assume the subagent knows anything.

Step 2 — Architect Review (single delegate_task)

delegate_task(
    goal="[omh-role:architect] Review this implementation plan for architectural soundness:\n\nPLAN:\n{planner_output}",
    context="# Project Context\n\n{project_context}"
)

Step 3 — Critic Challenge (single delegate_task)

delegate_task(
    goal="[omh-role:critic] Critically challenge this plan and architect review:\n\nPLAN SUMMARY:\n{plan_summary}\n\nARCHITECT REVIEW:\n{architect_verdict_and_concerns}",
    context="# Project Context\n\n{project_context}"
)

Step 4 — Consensus Check Check all three verdicts:

  • If ALL three are APPROVE → consensus reached, proceed to output
  • If any is REQUEST_CHANGES → collect all feedback, proceed to Round 2
  • If any is REJECT → output concerns and ask user whether to continue

Read the full file on GitHub · 146 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 11d ago First seen · 146 lines · 21 tokens per session scan A 23dc404d2bd4

Subscribe to this mod's changes

omh-ralplan is a skill published in the GitHub repository witt3rd/oh-my-hermes (322 stars, last pushed 1mo ago), licensed MIT. It adds 21 tokens to every session and 1,699 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 2026-08-30.

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