ralph-loop

ralph-loop is a skill for Claude Code from shawnclybor/clybor-claude-tooling. It costs 110 tokens per session (1,585 once invoked), scanned A, original, MIT.

An instruction-driven loop for repeatedly working on one coding task. A stop hook feeds the same prompt into the next iteration, while a completion phrase signals that the task is done.

In plain words
What is it for?
Use it for coding tasks that can be verified repeatedly and allowed to run autonomously.
Why use it?
It lets a well-defined task continue through multiple iterations with automatic checks instead of stopping after one response.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: reads .claude/ paths; mentions subagents; mentions Claude Code.

Good fit Use it for coding tasks that can be verified repeatedly and allowed to run autonomously.

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Install with agentmods
npx agentmods add skills/shawnclybor/clybor-claude-tooling/ralph-loop
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.

Any agent
npx skills add shawnclybor/clybor-claude-tooling --skill ralph-loop
Clone the repo
git clone --depth 1 https://github.com/shawnclybor/clybor-claude-tooling

Made for: Claude Code.

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/skills/shawnclybor/clybor-claude-tooling/ralph-loop/github.svg)](https://agentmods.dev/skills/shawnclybor/clybor-claude-tooling/ralph-loop)
Your own site
<a href="https://agentmods.dev/skills/shawnclybor/clybor-claude-tooling/ralph-loop"><img src="https://agentmods.dev/badge/skills/shawnclybor/clybor-claude-tooling/ralph-loop/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-loop

Your own site · 80×15
<a href="https://agentmods.dev/skills/shawnclybor/clybor-claude-tooling/ralph-loop"><img src="https://agentmods.dev/badge/skills/shawnclybor/clybor-claude-tooling/ralph-loop.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 110 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,585 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 $0.00110 $0.01585
Opus 5.5 $0.00044 $0.00634
Sonnet 5.5 $0.00022 $0.00317
Haiku 4.5 $0.00011 $0.00159

Measured 4d ago against content hash fb15ed407412, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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.

.claude/skills/ralph-loop/SKILL.md · 167 lines

How it starts

The opening of the file, as written. The whole thing — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Ralph Loop

Implementation of the Ralph Wiggum technique: a single prompt re-fed to Claude on every session-exit attempt via a Stop hook, until Claude emits an exact completion-promise string or max-iterations is reached.

Based on Anthropic's official ralph-loop plugin and Geoffrey Huntley's original technique.

Core concept

/ralph-loop "<prompt>" --completion-promise "DONE" --max-iterations 50

# Then Claude Code automatically:
# 1. Works on the task
# 2. Tries to exit
# 3. Stop hook (.claude/hooks/ralph-stop.sh) blocks exit
# 4. Hook checks transcript for completion-promise
# 5. If found → state cleared, exit allowed
# 6. If not + under budget → state incremented, exit blocked, prompt re-fed
# 7. If not + budget exhausted → state cleared, exit allowed with halt message

The loop is self-referential: the prompt never changes between iterations. Claude's previous work persists in files. Each iteration sees modified files and git history. The improvement comes from reading the result of the previous iteration.

When to use

Good for:

  • Well-defined tasks with automatic verification (tests, linters, build, type-check)
  • Tasks requiring iteration to refine (getting tests to pass, fixing a flaky integration)
  • Greenfield projects you can walk away from
  • Overnight unattended runs

Not good for:

  • Tasks requiring human judgment or design decisions (use quality-review instead)
  • One-shot operations
  • Tasks without a clear binary signal for completion
  • Production debugging (use /five-whys and the debugger agent)

State + safety

The Stop hook reads .ralph-loop/state.json:

{
  "prompt": "<the original prompt>",
  "completion_promise": "DONE",
  "max_iterations": 50,
  "current_iteration": 3,
  "started_at": "<iso8601>",
  "last_continued_at": "<iso8601>"
}

--max-iterations is the primary safety mechanism. The completion-promise uses exact-string matching so it cannot encode multiple completion conditions (no "SUCCESS" vs "BLOCKED"); always rely on max-iterations as the hard ceiling.

Read the full file on GitHub · 167 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 Changed · +5 lines fb15ed407412
  2. 1mo ago First seen · 162 lines · 110 tokens per session scan A 2c67cd742f40

Subscribe to this mod's changes

ralph-loop is a skill published in the GitHub repository shawnclybor/clybor-claude-tooling (6 stars, last pushed 5d ago), licensed MIT. It adds 110 tokens to every session and 1,585 once invoked, about $0.0004 per session on Opus 5.5. 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.