A command for starting a managed loop that lets an agent repeat work under selected safety settings. It supports sequential, continuous pull-request, RFC-based dependency, and infinite loop patterns, with safe or fast modes.

Use it to plan, start, and monitor repeated agent work in a repository.

It adds checks before the loop starts, including repository state, passing tests, hooks, and an explicit stopping condition.

loop-start — Command for coding agents by multiplex-ai: A command for starting a managed loop that lets…

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/multiplex-ai/muggle-ai-teams/loop-start

Clone the repo

git clone --depth 1 https://github.com/multiplex-ai/muggle-ai-teams

Or install muggle-ai-teams, the plugin that ships this one along with the rest of its 28 commands, 29 agents.

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.

README.md

[![agentmods](https://agentmods.dev/badge/commands/multiplex-ai/muggle-ai-teams/loop-start.svg)](https://agentmods.dev/commands/multiplex-ai/muggle-ai-teams/loop-start)

Your own site

<a href="https://agentmods.dev/commands/multiplex-ai/muggle-ai-teams/loop-start"><img src="https://agentmods.dev/badge/commands/multiplex-ai/muggle-ai-teams/loop-start.svg" alt="Measured on agentmods" height="20"></a>

Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 219 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

Origin 100% copy Near-identical to another mod 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.

Model	Per session	Once invoked
Fable 5	$0.00000	$0.00219
Opus 5	$0.00000	$0.00110
Sonnet 5	$0.00000	$0.00044
Haiku 4.5	$0.00000	$0.00022

Measured 4d ago against content hash 3ad109a9f69c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

loop-start 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.

Origin

This is a copy

100% identical to loop-start — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

commands/loop-start.md · 33 lines

What it actually says