nanobot-learn: Instructions file for Claude Code

CLAUDE.md

nanobot-learn CLAUDE.md is an instructions file for Claude Code from WOWCharlotte/nanobot-learn. It costs 1,013 tokens per session, scanned A, original, MIT.

Project instructions for nanobot, a small personal AI assistant that connects to chat services and provides tools such as file editing, shell commands, web search, and scheduled tasks.

In plain words
What is it for?
Use them when developing nanobot, running its test suite, checking code quality, setting up integrations, or starting interactive agent mode.
Why use it?
They explain how to install, test, lint, configure, and run the application without having to infer the project's commands.

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 WOWCharlotte/nanobot-learn's own configuration. It tells Claude Code how to work on nanobot-learn 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 nanobot-learn configures →

Reuse

Borrowing it

Nothing to install: this file belongs to WOWCharlotte/nanobot-learn. 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/WOWCharlotte/nanobot-learn/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/WOWCharlotte/nanobot-learn

Made for: Claude Code.

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Per session 1,013 This file is loaded in full into every session.
When invoked 1,013 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 $0.01013 $0.01013
Opus 5 $0.00507 $0.00507
Sonnet 5 $0.00203 $0.00203
Haiku 4.5 $0.00101 $0.00101

Measured 10d ago against content hash 3664ce9a00ef, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

nanobot-learn 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 10d 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 · 116 lines

How it starts

The opening of the file, as written. The whole thing — 116 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

nanobot is an ultra-lightweight personal AI assistant (~4,000 lines of core agent code). It connects to various chat platforms (Telegram, Discord, WhatsApp, Feishu, QQ, DingTalk, Slack, Email, Matrix, Mochat) and provides an agentic AI with tools for file manipulation, shell execution, web search, scheduled tasks, and more.

Common Commands

Development Setup

pip install -e .              # Install in editable mode
pip install -e ".[dev]"       # Install with dev dependencies
pip install -e ".[matrix]"    # Install with Matrix support

Running Tests

pytest                          # Run all tests
pytest tests/test_file.py      # Run specific test file
pytest -k "test_name"          # Run tests matching pattern
pytest --cov=nanobot           # Run with coverage

Linting

ruff check nanobot/            # Lint code
ruff check nanobot/ --fix      # Auto-fix issues

Running the Application

nanobot onboard                # Initialize config & workspace
nanobot agent                  # Interactive chat mode
nanobot agent -m "Hello!"      # Single message mode
nanobot gateway                # Start gateway (connects all enabled channels)
nanobot status                 # Show status

Docker

docker compose up -d nanobot-gateway  # Start gateway via Docker Compose
docker compose run --rm nanobot agent -m "Hello!"  # Run CLI command

Architecture

Core Components

Directory Purpose
agent/ Core agent logic: agent loop, context/prompt builder, memory, skills loader, subagent execution
channels/ Chat platform integrations (Telegram, Discord, WhatsApp, Feishu, QQ, DingTalk, Slack, Email, Matrix, Mochat)
providers/ LLM provider abstraction layer using LiteLLM
session/ Conversation session management
config/ Configuration loading and schema validation
bus/ Message routing and event system
cron/ Scheduled task execution
heartbeat/ Periodic proactive agent wake-up
skills/ Bundled skills (github, weather, tmux, etc.)

Read the full file on GitHub · 116 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. 10d ago First seen · 116 lines · 1,013 tokens per session scan A 3664ce9a00ef

Subscribe to this mod's changes

nanobot-learn CLAUDE.md is an instructions file published in the GitHub repository WOWCharlotte/nanobot-learn (99 stars, last pushed 5mo ago), licensed MIT. It adds 1,013 tokens to every session, about $0.0051 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.

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