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.
git clone --depth 1 https://github.com/bjzgcai/carter-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/commands/bjzgcai/carter-marketplace/ralph-help)<a href="https://agentmods.dev/commands/bjzgcai/carter-marketplace/ralph-help"><img src="https://agentmods.dev/badge/commands/bjzgcai/carter-marketplace/ralph-help/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/commands/bjzgcai/carter-marketplace/ralph-help"><img src="https://agentmods.dev/badge/commands/bjzgcai/carter-marketplace/ralph-help.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 | $0.00009 | $0.01553 |
| Opus 5 | $0.00005 | $0.00776 |
| Sonnet 5 | $0.00002 | $0.00311 |
| Haiku 4.5 | $0.00001 | $0.00155 |
Grade A, and why
ralph-help 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.
How it starts
The opening of the file, as written. The whole thing — 219 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ralph Wiggum Plugin - Cross-Platform Edition
What is Ralph?
Ralph is a Bash loop. More specifically, it's a continuous self-referential AI agent loop that enables iterative, autonomous development within Claude Code.
The technique is simple: instead of running Claude once and getting one response, Ralph runs Claude in a while true loop, feeding it the same prompt repeatedly until completion. Between iterations, your work persists in files and git history, allowing you to build incrementally on previous attempts.
How It Works
Ralph uses a Stop hook that intercepts your exit attempts. When you try to leave the session:
- The hook blocks your exit
- It feeds the same original prompt back to you
- You see your previous work in files and git commit history
- You continue iterating until the task is complete
This creates a self-referential feedback loop where each iteration improves upon the last.
Available Commands
/ralph-loop - Start a Ralph Loop
Start a Ralph loop in your current session:
/ralph-loop "YOUR TASK PROMPT" --max-iterations <N> --completion-promise "<TEXT>"
Parameters:
PROMPT(required): Your task description--max-iterations <N>(optional): Stop after N iterations (recommended: 20-50)--completion-promise "<TEXT>"(optional): A phrase you'll output when truly done
Examples:
Basic usage with iteration limit:
/ralph-loop "Build a TODO REST API with CRUD operations and tests" --max-iterations 30
With completion promise for early exit:
/ralph-loop "Build a TODO API. Requirements: CRUD endpoints, validation, tests. Output <promise>COMPLETE</promise> when all tests pass." --completion-promise "COMPLETE" --max-iterations 50
/cancel-ralph - Cancel Active Loop
Stop the currently running Ralph loop:
/cancel-ralph
This removes the loop state file and allows normal session exit.
Cross-Platform Support
This plugin works on:
- Linux - Uses bash scripts
- macOS - Uses bash scripts
- WSL (Windows Subsystem for Linux) - Uses bash scripts
- Windows PowerShell - Uses PowerShell scripts
- PowerShell Core - Uses PowerShell scripts
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.
- 11d ago First seen · 219 lines · 9 tokens per session scan A e96951bd0f6e
ralph-help is a command published in the GitHub repository bjzgcai/carter-marketplace (8 stars, last pushed 7mo ago), licensed MIT. It adds 9 tokens to every session and 1,553 once invoked, about $0.0000 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 2026-08-31.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.