amaw

amaw is a command for Claude Code from letuhao/lore-weave. It costs 39 tokens per session (1,595 once invoked), scanned A, original, AGPL-3.0.

A command that enables AMAW, an Autonomous Multi-Agent Workflow, for the current task. It starts separate agents to review work at two points: during review and after review.

In plain words
What is it for?
Use it when a task needs extra automated review before and after the main review phase.
Why use it?
It adds independent review passes without relying only on the main conversation to check its own work.

Command for Claude Code

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/letuhao/lore-weave/amaw
Clone the repo
git clone --depth 1 https://github.com/letuhao/lore-weave

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 amaw

README.md
[![agentmods](https://agentmods.dev/badge/commands/letuhao/lore-weave/amaw.svg)](https://agentmods.dev/commands/letuhao/lore-weave/amaw)
Your own site
<a href="https://agentmods.dev/commands/letuhao/lore-weave/amaw"><img src="https://agentmods.dev/badge/commands/letuhao/lore-weave/amaw.svg" alt="Measured on agentmods" height="20"></a>
Per session 39 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,595 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00039 $0.01595
Opus 5 $0.00019 $0.00797
Sonnet 5 $0.00008 $0.00319
Haiku 4.5 $0.00004 $0.00160

Measured 4d ago against content hash 1925b9fc82e1, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

amaw 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.

agentic-workflow/.claude/commands/amaw.md · 74 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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 · 39 tokens per session scan A 1925b9fc82e1

Subscribe to this mod's changes

amaw is a command published in the GitHub repository letuhao/lore-weave (23 stars, last pushed today), licensed AGPL-3.0. It adds 39 tokens to every session and 1,595 once invoked, about $0.0002 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.