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.
npx skills add atournayre/claude-marketplace --skill ralphgit clone --depth 1 https://github.com/atournayre/claude-marketplaceWrote 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.
[](https://agentmods.dev/skills/atournayre/claude-marketplace/ralph)<a href="https://agentmods.dev/skills/atournayre/claude-marketplace/ralph"><img src="https://agentmods.dev/badge/skills/atournayre/claude-marketplace/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.
<a href="https://agentmods.dev/skills/atournayre/claude-marketplace/ralph"><img src="https://agentmods.dev/badge/skills/atournayre/claude-marketplace/ralph.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00018 | $0.01039 |
| Opus 5 | $0.00009 | $0.00519 |
| Sonnet 5 | $0.00004 | $0.00208 |
| Haiku 4.5 | $0.00002 | $0.00104 |
Grade B, and why
setup-ralph scanned grade B with 1 finding 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 12d 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.
Asks the agent to reveal its instructionsmediumSystem prompt leakage
Directions to print, repeat or translate the system prompt extract configuration the operator did not intend to expose.
🛑 NEVER execute the loop - only set up files and show instructions What it actually says
This skill ONLY sets up Ralph - you run the commands yourself.
<quick_start> Setup Ralph interactively (recommended):
/setup-ralph -i
Setup for specific feature:
/setup-ralph -f 01-add-authentication
What this does:
- Creates
.claude/ralph/structure in your project - Runs setup script to create all Ralph files
- (If -i): Brainstorms PRD with you interactively
- Transforms PRD into user stories (prd.json)
- Shows you the command to run Ralph (you run it yourself)
After setup, you run:
bun run .claude/ralph/ralph.sh -f <feature-name>
</quick_start>
<critical_rule> 🛑 NEVER run ralph.sh or any execution commands automatically 🛑 NEVER execute the loop - only set up files and show instructions ✅ ALWAYS let the user copy and run commands themselves ✅ ALWAYS end by showing the exact command to run </critical_rule>
<when_to_use> Use this skill when:
- Starting a new feature that can be broken into small stories
- Setting up Ralph in a new project
- Creating a new feature PRD interactively
Don't use for:
- Simple single-file changes
- Exploratory work without clear requirements
- Major refactors without acceptance criteria </when_to_use>
Examples:
/setup-ralph /path/to/project -i # Interactive PRD creation
/setup-ralph . -f 01-add-auth # Setup for specific feature
/setup-ralph -i -f 02-user-dashboard # Interactive with specific name
<state_variables>
| Variable | Type | Description |
|---|---|---|
{project_path} |
string | Absolute path to target project |
{ralph_dir} |
string | Path to .claude/ralph in project |
{feature_name} |
string | Feature folder name (e.g., 01-add-auth) |
{feature_dir} |
string | Path to task folder |
{interactive_mode} |
boolean | Whether to brainstorm PRD interactively |
{prd_content} |
string | PRD markdown content |
{user_stories} |
array | User stories extracted from PRD |
{branch_name} |
string | Git branch for the feature |
| </state_variables> |
<entry_point>
Load steps/step-00-init.md
</entry_point>
<step_files>
| Step | File | Purpose |
|---|---|---|
| 00 | step-00-init.md |
Parse flags, run setup script, create structure |
| 01 | step-01-interactive-prd.md |
Interactive PRD brainstorming and creation |
| 02 | step-02-create-stories.md |
Transform PRD into user stories (prd.json) |
| 03 | step-03-finish.md |
Show run command (user runs it themselves) |
| </step_files> |
<execution_rules>
- Progressive Loading: Load one step at a time
- Script Execution: Use scripts/setup.sh to create files atomically
- Interactive Mode: If -i flag, run brainstorming conversation
- State Persistence: Track progress in feature_dir/progress.txt
- Resume Support: Detect existing PRD.md and resume from there
- NEVER RUN RALPH: Only setup and show commands - user runs them </execution_rules>
<success_criteria> ✅ Ralph structure created at {project_path}/.claude/ralph ✅ Feature folder created with PRD.md, prd.json, progress.txt ✅ User stories properly formatted in prd.json ✅ Clear run command provided to user (they run it themselves) </success_criteria>
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.
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.
- 12d ago First seen · 118 lines · 18 tokens per session scan B 276fdab8afdc
setup-ralph is a skill published in the GitHub repository atournayre/claude-marketplace (9 stars, last pushed 6mo ago), licensed MIT. It adds 18 tokens to every session and 1,039 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 1 finding (asks the agent to reveal its instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…