ralph

ralph is a skill for Claude Code, Codex from RobinOppenstam/claude-ralph. It costs 0 tokens per session (866 once invoked), scanned A, original, MIT.

A converter that turns a Markdown product requirements document, or PRD, into the JSON format used by Ralph for autonomous work. It extracts feature details, user stories, acceptance criteria, technical context, and quality checks.

In plain words
What is it for?
Use it to create Ralph-compatible prd.json files from Markdown PRDs, including a feature description, branch name, ordered user stories, and quality checks.
Why use it?
It removes the need to manually restructure a requirements document before Ralph can use it. It also orders stories using priorities, dependencies, and their order in the document.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is ./scripts/ralph/ralph.sh [max_iterations].

Good fit Use it to create Ralph-compatible prd.json files from Markdown PRDs, including a feature description, branch name, ordered user stories, and quality checks.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/RobinOppenstam/claude-ralph
agentmods
npx agentmods add skills/robinoppenstam/claude-ralph/ralph

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 ralph

README.md
[![agentmods](https://agentmods.dev/badge/skills/robinoppenstam/claude-ralph/ralph/github.svg)](https://agentmods.dev/skills/robinoppenstam/claude-ralph/ralph)
Your own site
<a href="https://agentmods.dev/skills/robinoppenstam/claude-ralph/ralph"><img src="https://agentmods.dev/badge/skills/robinoppenstam/claude-ralph/ralph/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 ralph

Your own site · 80×15
<a href="https://agentmods.dev/skills/robinoppenstam/claude-ralph/ralph"><img src="https://agentmods.dev/badge/skills/robinoppenstam/claude-ralph/ralph.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 866 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.
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 $0.00000 $0.00866
Opus 5 $0.00000 $0.00433
Sonnet 5 $0.00000 $0.00173
Haiku 4.5 $0.00000 $0.00087

Measured 10d ago against content hash 999a906f63be, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

ralph 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 10d 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.

skills/ralph/SKILL.md · 145 lines

How it starts

The opening of the file, as written. The whole thing — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Ralph PRD Conversion Skill

This skill converts a markdown PRD into the JSON format that Ralph needs to run autonomously.

Usage

Load this skill and say: "Convert [path/to/prd.md] to prd.json"

Process

1. Read the Markdown PRD

Parse the PRD document and extract:

  • Feature name
  • User stories with their acceptance criteria
  • Technical context
  • Quality check commands

2. Generate Branch Name

Create a branch name following the pattern: ralph/[feature-name-kebab-case]

3. Determine Priority Order

Order stories by:

  1. Explicit priority if specified
  2. Dependencies (stories that others depend on come first)
  3. Order they appear in the document

4. Output JSON Format

Generate this structure:

{
  "featureName": "Feature Name",
  "branchName": "ralph/feature-name",
  "description": "Brief description from PRD overview",
  "userStories": [
    {
      "id": "US-001",
      "title": "Story title",
      "priority": 1,
      "acceptanceCriteria": [
        "Criterion 1",
        "Criterion 2",
        "typecheck passes",
        "tests pass"
      ],
      "passes": false,
      "notes": "Any additional context"
    }
  ],
  "qualityChecks": {
    "typecheck": "npm run typecheck",
    "test": "npm test",
    "lint": "npm run lint"
  },
  "techStack": {
    "framework": "detected or specified",
    "database": "detected or specified",
    "testing": "detected or specified"
  }
}

5. Save to prd.json

Save the output to: scripts/ralph/prd.json (or the ralph directory in your project)

Critical Conversion Rules

Story Size

  • Each story must be small enough to complete in one context window
  • If a story seems too large, suggest breaking it down
  • Rule of thumb: If you need more than ~1000 tokens to explain it, it's too big

Acceptance Criteria

  • Convert checkbox items to string array
  • Always include quality checks:
    • "typecheck passes" for TypeScript projects
    • "tests pass" if tests are mentioned
    • "lint passes" if linting is mentioned
  • For UI stories, include "Verify in browser"

Read the full file on GitHub · 145 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. 10d ago First seen · 145 lines · 0 tokens per session scan A 999a906f63be

Subscribe to this mod's changes

ralph is a skill published in the GitHub repository RobinOppenstam/claude-ralph (11 stars, last pushed 6mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 866 tokens. 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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