omh-ralplan-driver

omh-ralplan-driver is a skill for Claude Code, Codex from witt3rd/oh-my-hermes. It costs 21 tokens per session (12,856 once invoked), scanned A, original, MIT.

A starting command that reads a project and reports its framework, design tokens, brief, specification, and available UI-craft actions.

In plain words
What is it for?
Run it when joining a project or when unsure whether to create a brief, define tokens, design screens, build components, or finalize the work.
Why use it?
It helps you understand the project's current state and choose the next design or implementation step without changing code.

Skill for Claude CodeCodex

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

Good fit Run it when joining a project or when unsure whether to create a brief, define tokens, design screens, build components, or finalize the work.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/witt3rd/oh-my-hermes/omh-ralplan-driver
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-driver
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-driver

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/witt3rd/oh-my-hermes/omh-ralplan-driver"><img src="https://agentmods.dev/badge/skills/witt3rd/oh-my-hermes/omh-ralplan-driver.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 12,856 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 $0.12856
Opus 5 $0.00010 $0.06428
Sonnet 5 $0.00004 $0.02571
Haiku 4.5 $0.00002 $0.01286

Measured 11d ago against content hash 4f4e90bd50d7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

omh-ralplan-driver 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-driver/SKILL.md · 1,250 lines

How it starts

The opening of the file, as written. The whole thing — 1,250 lines — stays where its author put it; the contents beside it link to each section on GitHub.

OMH Ralplan Driver — driving the loop

Load this skill alongside omh-ralplan when you are the orchestrator dispatching the loop. omh-ralplan is loaded by the Planner / Architect / Critic workers — it covers what they do inside each delegate_task call. This skill covers what you do as the dispatcher: prep, dispatch, distill, review.

The two skills have different readers and different jobs. Don't merge them — worker context is precious; the dispatcher's playbook should not ride into every subagent.

Why this skill exists

Ralplan without disciplined orchestration converges on internal consistency, not truth. The Planner / Architect / Critic triangle is self-checking — it will produce a coherent stance about whatever you pointed it at, including the wrong frame, the stale source, the phantom constraint, and the question the user already settled.

The orchestrator is the only role with the vantage to:

  • Carve principles before dispatching.
  • Author a context package that licenses framing contests.
  • Verify ground truth and adjacent mechanisms before subagents inherit them as fact.
  • Iterate the package with the user — half of any non-trivial requirements come from the user's lived context, not from reading.
  • Distill consensus into a canonical artifact stripped of reviewer scaffolding.
  • Apply a final quality gate before handing anything to the user.

Most of the failure modes named below are pre-dispatch failures. Prep is where quality is born. Distillation and review preserve it. The loop itself is just the well-instrumented engine in between.

When to use ralplan vs just think

Use ralplan when the work has:

  • Multiple legitimate decompositions of the problem.
  • Load-bearing principles that need enforcing across subagents.
  • Cross-cutting concerns the orchestrator might miss alone.
  • A user who would otherwise be in a turn-by-turn proposal loop.

Don't use ralplan when the work is single-file, single-decision, or obvious-to-solve. Overkill is its own failure mode. Use omh-deep-interview first if the goal is ambiguous.

Read the full file on GitHub · 1,250 lines

Files

What ships with it

5 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 · 1,250 lines · 21 tokens per session scan A 4f4e90bd50d7

Subscribe to this mod's changes

omh-ralplan-driver 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 12,856 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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