help

help is a command for coding agents from vcz-Gray/loophaus. It costs 7 tokens per session (568 once invoked), scanned A, original, MIT.

A help command that explains the Loophaus plugin, its iterative development method, and its available commands.

In plain words
What is it for?
Use it to learn about starting, planning, checking, and stopping loops, including their iteration and completion options.
Why use it?
It gives newcomers a single place to learn what the plugin does and how its commands fit together.

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/help
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 help

README.md
[![agentmods](https://agentmods.dev/badge/commands/vcz-gray/loophaus/help.svg)](https://agentmods.dev/commands/vcz-gray/loophaus/help)
Your own site
<a href="https://agentmods.dev/commands/vcz-gray/loophaus/help"><img src="https://agentmods.dev/badge/commands/vcz-gray/loophaus/help.svg" alt="Measured on agentmods" height="20"></a>
Per session 7 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 568 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 $0.00007 $0.00568
Opus 5 $0.00003 $0.00284
Sonnet 5 $0.00001 $0.00114
Haiku 4.5 $0.00001 $0.00057

Measured 4d ago against content hash fc7baa01ed64, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

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 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.

commands/help.md · 97 lines

How it starts

The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Loophaus Plugin Help

Please explain the following to the user:

What is Loop?

Loop implements the Ralph Wiggum technique — an iterative development methodology based on continuous AI loops, pioneered by Geoffrey Huntley.

Core concept:

while :; do
  cat PROMPT.md | claude-code --continue
done

The same prompt is fed to Claude repeatedly. The "self-referential" aspect comes from Claude seeing its own previous work in the files and git history, not from feeding output back as input.

Each iteration:

  1. Claude receives the SAME prompt
  2. Works on the task, modifying files
  3. Tries to exit
  4. Stop hook intercepts and feeds the same prompt again
  5. Claude sees its previous work in the files
  6. Iteratively improves until completion

Available Commands

/loop [OPTIONS]

Start a loop in your current session.

Usage:

/loop "Refactor the cache layer" --max-iterations 20
/loop "Add tests" --completion-promise "TESTS COMPLETE"

Options:

  • --max-iterations <n> — Max iterations before auto-stop
  • --completion-promise <text> — Promise phrase to signal completion

/loop-stop

Stop an active loop (removes the loop state file).

/loop-plan

Interactive interview that generates a PRD with right-sized stories, activates the loop, and starts implementing story by story.

Usage:

/loop-plan Add user authentication with JWT and login UI

/loop-pulse

Check the status of an active loop, including iteration count and story progress.

/loop-orchestrator

Multi-agent orchestration patterns for parallel work streams.

Available Skills (via Skill tool)

  • loophaus:ralph-interview — PRD generation + loop start
  • loophaus:ralph-orchestrator — Multi-agent patterns
  • loophaus:ralph-loop — Direct loop execution
  • loophaus:cancel-ralph — Cancel active loop

Key Concepts

Completion Promises

To signal completion, Claude must output a <promise> tag:

<promise>TASK COMPLETE</promise>

Read the full file on GitHub · 97 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 First seen · 97 lines · 7 tokens per session scan A fc7baa01ed64

Subscribe to this mod's changes

help is a command published in the GitHub repository vcz-Gray/loophaus (23 stars, last pushed 4mo ago), licensed MIT. It adds 7 tokens to every session and 568 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 2026-08-30.