ralph-loop

ralph-loop is a command for coding agents from vcz-Gray/loophaus. It costs 16 tokens per session (489 once invoked), scanned A, original, MIT.

A command that starts a Ralph Loop, where a coding agent repeatedly works on the same task until it reaches a completion phrase or an iteration limit.

In plain words
What is it for?
Use it to set the task prompt, maximum iterations, and phrase that signals completion, then begin the loop.
Why use it?
It supports tasks that need several rounds of implementation and checking instead of one attempt.

Command

Part of the loophaus plugin — 6 skills, 7 commands, 1 hook shipped together

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 commands/vcz-gray/loophaus/ralph-loop
Clone the repo
git clone --depth 1 https://github.com/vcz-Gray/loophaus

Or install loophaus, the plugin that ships this one along with the rest of its 6 skills, 7 commands, 1 hook.

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-loop

README.md
[![agentmods](https://agentmods.dev/badge/commands/vcz-gray/loophaus/ralph-loop.svg)](https://agentmods.dev/commands/vcz-gray/loophaus/ralph-loop)
Your own site
<a href="https://agentmods.dev/commands/vcz-gray/loophaus/ralph-loop"><img src="https://agentmods.dev/badge/commands/vcz-gray/loophaus/ralph-loop.svg" alt="Measured on agentmods" height="20"></a>
Per session 16 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 489 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 $0.00016 $0.00489
Opus 5 $0.00008 $0.00244
Sonnet 5 $0.00003 $0.00098
Haiku 4.5 $0.00002 $0.00049

Measured 4d ago against content hash 388d4d74615b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ralph-loop 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.

codex/commands/ralph-loop.md · 74 lines

What it actually says

Ralph Loop Command

You are about to start a Ralph Loop. Parse the user's arguments as follows:

Argument Parsing

  1. Extract --max-iterations N (default: 20). Must be a positive integer or 0 (unlimited).
  2. Extract --completion-promise TEXT (default: "TADA"). Multi-word values must be quoted.
  3. Everything else is the prompt — the task description.

Setup

Run this command to initialize the Ralph loop state file:

node -e "
import { writeState } from '${RALPH_CODEX_ROOT}/store/state-store.mjs';
await writeState({
  active: true,
  prompt: PROMPT_HERE,
  completionPromise: PROMISE_HERE,
  maxIterations: MAX_HERE,
  currentIteration: 0,
  sessionId: ''
});
"

Replace PROMPT_HERE, PROMISE_HERE, and MAX_HERE with the parsed values. Use proper JSON string escaping for the prompt.

Alternatively, create the state file directly at .codex/ralph-loop.state.json:

{
  "active": true,
  "prompt": "<user's prompt>",
  "completionPromise": "<promise text>",
  "maxIterations": 20,
  "currentIteration": 0,
  "sessionId": ""
}

After Setup

Display this message to the user:

Ralph loop activated!

Iteration: 1
Max iterations: <N or "unlimited">
Completion promise: <promise text>

The stop hook will now block session exit and feed the SAME PROMPT back.
Your previous work persists in files and git history.
To cancel: /cancel-ralph

Then immediately begin working on the user's task prompt.

Rules

  • When a completion promise is set, you may ONLY output <promise>TEXT</promise> when the statement is genuinely and completely TRUE.
  • Do NOT output false promises to exit the loop.
  • Each iteration sees your previous work in files. Build on it incrementally.
  • If stuck, document what's blocking and try a different approach.
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 · 74 lines · 16 tokens per session scan A 388d4d74615b

Subscribe to this mod's changes

ralph-loop is a command published in the GitHub repository vcz-Gray/loophaus (23 stars, last pushed 4mo ago), licensed MIT. It adds 16 tokens to every session and 489 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.