ralplan

ralplan is a skill for Claude Code, Codex from jmstar85/oh-my-githubcopilot. It costs 28 tokens per session (923 once invoked), scanned A, original, MIT.

A planning workflow where separate planner, architect, and critic roles repeatedly refine a plan until they agree.

In plain words
What is it for?
Creating consensus plans for coding tasks, including design options, decision factors, pre-mortems, and test planning.
Why use it?
It exposes architectural trade-offs, challenges weak plans, and adds risk and testing review for high-risk work.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/jmstar85/oh-my-githubcopilot/ralplan
Any agent
npx skills add jmstar85/oh-my-githubcopilot --skill ralplan
Clone the repo
git clone --depth 1 https://github.com/jmstar85/oh-my-githubcopilot

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 ralplan

README.md
[![agentmods](https://agentmods.dev/badge/skills/jmstar85/oh-my-githubcopilot/ralplan.svg)](https://agentmods.dev/skills/jmstar85/oh-my-githubcopilot/ralplan)
Your own site
<a href="https://agentmods.dev/skills/jmstar85/oh-my-githubcopilot/ralplan"><img src="https://agentmods.dev/badge/skills/jmstar85/oh-my-githubcopilot/ralplan.svg" alt="Measured on agentmods" height="20"></a>
Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 923 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00028 $0.00923
Opus 5 $0.00014 $0.00462
Sonnet 5 $0.00006 $0.00185
Haiku 4.5 $0.00003 $0.00092

Measured 4d ago against content hash 5da413968089, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 4d 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.

.github/skills/ralplan/SKILL.md · 88 lines

How it starts

The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Ralplan (Consensus Planning)

Shorthand for /plan --consensus. Triggers iterative planning with Planner, Architect, and Critic agents until consensus is reached.

Flags

  • --deliberate: Forces deliberate mode for high-risk work. Adds pre-mortem (3 scenarios) and expanded test planning.

Interactive Hook Protocol

MANDATORY: Use vscode_askQuestions at every decision gate in this skill (when available). If vscode_askQuestions is NOT available (e.g., Copilot CLI), present numbered options in markdown and ask the user to respond with a number or freeform text.

When to Fire Hooks

Trigger Point Question Type
Options presentation Present viable options with pros/cons for user selection
Architect concerns Surface architectural trade-offs for user decision
Critic rejection Show rejection reasons, ask user for direction
Consensus reached Final plan approval before execution
--deliberate pre-mortem Present risk scenarios for user prioritization

Workflow

  1. @planner creates initial plan with RALPLAN-DR summary:
    • Principles (3-5)
    • Decision Drivers (top 3)
    • Viable Options (>=2) with pros/cons
  2. HOOK: Present options via vscode_askQuestions when options have significant trade-offs:
    header: "ralplan-options"
    question: "Planner identified [N] viable approaches. Select preferred direction:"
    options: [
      { label: "Option A: [name]", description: "Pros: X, Y. Cons: Z" },
      { label: "Option B: [name]", description: "Pros: A, B. Cons: C" },
      { label: "Let agents decide based on technical merit", recommended: true }
    ]
    allowFreeformInput: true
    
  3. @architect reviews for architectural soundness
    • If architect raises concerns: HOOK — present trade-offs for user decision
  4. @critic validates quality and testability
    • If critic rejects: HOOK — show issues and ask for direction:
    header: "ralplan-critic-feedback"
    question: "Critic identified [N] issues: [summary]. How to proceed?"
    options: [
      { label: "Address all issues", recommended: true },
      { label: "Address critical issues only, skip minor" },
      { label: "Override — I accept the trade-offs" },
      { label: "Restart with different constraints" }
    ]
    
  5. Loop until critic approves (max 5 iterations)
  6. Final plan includes ADR (Decision, Drivers, Alternatives, Why chosen, Consequences)
  7. HOOK: Final approval via vscode_askQuestions:
    header: "ralplan-approval"
    question: "Consensus reached after [N] iterations. Execute?"
    options: [
      { label: "Execute with team (parallel)", recommended: true },
      { label: "Execute with ralph (sequential + verification)" },
      { label: "Execute with omg-autopilot (full pipeline)" },
      { label: "Save plan — don't execute yet" }
    ]
    

Read the full file on GitHub · 88 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. 4d ago First seen · 88 lines · 28 tokens per session scan A 5da413968089

Subscribe to this mod's changes

ralplan is a skill published in the GitHub repository jmstar85/oh-my-githubcopilot (153 stars, last pushed 3mo ago), licensed MIT. It adds 28 tokens to every session and 923 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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