maxclaw: Instructions file for Claude Code

CLAUDE.md

maxclaw CLAUDE.md is an instructions file for Claude Code from Lichas/maxclaw. It costs 1,520 tokens per session, scanned A, original, Apache-2.0.

A project instruction file for maxclaw, a small Go framework for building personal AI assistants. It documents the project structure, required working rules, development commands, and build and run steps.

In plain words
What is it for?
Use it when working on maxclaw code, running its tests or build, following its repository rules, or updating its bug and change records.
Why use it?
It gives the coding agent the repository context and tells it how to verify and record changes.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md; mentions subagents; mentions Claude Code.

This is Lichas/maxclaw's own configuration. It tells Claude Code how to work on maxclaw itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything maxclaw configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Lichas/maxclaw. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Lichas/maxclaw/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/Lichas/maxclaw

Made for: Claude Code.

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Per session 1,520 This file is loaded in full into every session.
When invoked 1,520 The same file — it is already loaded in full.
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 $0.01520 $0.01520
Opus 5.5 $0.00608 $0.00608
Sonnet 5.5 $0.00304 $0.00304
Haiku 4.5 $0.00152 $0.00152

Measured 2mo ago against content hash d68118958fde, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

maxclaw CLAUDE.md 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 2mo 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.md · 160 lines

How it starts

The opening of the file, as written. The whole thing — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Project Overview

maxclaw is an ultra-lightweight personal AI assistant framework written in Go (~3,500 lines of core code). It provides core agent functionality including tool use, multi-channel chat integrations, and scheduled tasks.

  • Language: Go 1.24+
  • Module: github.com/Lichas/maxclaw
  • Entry point: cmd/maxclaw/main.go
  • Binary name: maxclaw

Operating Rules (Must Follow)

  • Do not ask the user to verify. You are responsible for running tests, validating behavior, and reporting results.
  • Always verify changes: run relevant tests or smoke checks, and report what passed/failed.
  • After successfully completing a request with repository changes, run make build and then create a git commit for that request.
  • If you fix a bug, append a concise entry to BUGFIX.md (what broke, root cause, fix, verification).
  • If a request changes repository files, append a concise entry to CHANGELOG.md under ## [Unreleased] (what changed, key files, verification command).
  • When adding features, update the docs (README / architecture) and validate the path end-to-end.
  • Assume ownership of outcomes: if something could be flaky, add logging/guards and document the caveats.
  • For runtime incidents, follow MAINTENANCE.md first (process/port/proxy/log order) before ad-hoc debugging.

Development Commands

Build & Run

make build          # Build to build/maxclaw
make install        # Install to GOPATH/bin
make run            # Build and run
make dev            # Hot reload (requires air)

Testing

make test           # Run all tests (go test -v ./...)
make coverage       # Generate coverage report
# OR
go test ./...       # Direct go test
go test -v ./...    # Verbose output
go test -cover ./... # With coverage

Code Quality

make fmt            # Format code (go fmt ./...)
make vet            # Run go vet
make lint           # Run fmt and vet
make mod            # Tidy and verify modules

Read the full file on GitHub · 160 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. 2mo ago First seen · 160 lines · 1,520 tokens per session scan A d68118958fde

Subscribe to this mod's changes

maxclaw CLAUDE.md is an instructions file published in the GitHub repository Lichas/maxclaw (230 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 1,520 tokens to every session, about $0.0061 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 2026-08-30.

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