Borrowing it
Nothing to install: this file belongs to BrettKinny/dotty-stackchan. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/BrettKinny/dotty-stackchan/main/CLAUDE.mdgit clone --depth 1 https://github.com/BrettKinny/dotty-stackchanWrote 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.
[](https://agentmods.dev/instructions/brettkinny/dotty-stackchan/claude-md)<a href="https://agentmods.dev/instructions/brettkinny/dotty-stackchan/claude-md"><img src="https://agentmods.dev/badge/instructions/brettkinny/dotty-stackchan/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/brettkinny/dotty-stackchan/claude-md"><img src="https://agentmods.dev/badge/instructions/brettkinny/dotty-stackchan/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 5.1 | $0.04764 | $0.04764 |
| Opus 5.5 | $0.01906 | $0.01906 |
| Sonnet 5.5 | $0.00953 | $0.00953 |
| Haiku 4.5 | $0.00476 | $0.00476 |
Grade A, and why
dotty-stackchan CLAUDE.md scanned grade A with 1 finding 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 7d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- **Test the dashboard service**: `curl http://<XIAOZHI_HOST>:8081/health` How it starts
The opening of the file, as written. The whole thing — 227 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dotty
AI transparency (binding on agents)
This is a human-focused project, made by humans, for humans, that is openly
AI-assisted. If you are an AI agent working here, the project's AI policy
(AI_TRANSPARENCY.md) is binding on you, not just
descriptive. The core rule: anything you author is acknowledged as such. In
practice:
- Keep the
Co-Authored-By:trailer naming your model on every commit you help write (the global commit/PR conventions already require this — honour them, never strip them). - Note AI assistance in PR bodies you draft, and mark substantial AI-drafted docs as such.
- Never present agent work as unaided human work, and never remove existing
attribution. Leave the human-accountability chain intact: you propose, a human
reviews and is accountable for what lands. Don't merge to
mainunattended.
What This Is
Your self-hosted StackChan robot assistant. A fully self-hosted voice stack for the M5Stack StackChan desktop robot. The default persona is "Dotty" (customizable via make setup). Voice I/O routes through a self-hosted xiaozhi-esp32-server; the brain is a pi coding agent running in the dotty-pi container. No cloud AI services — fully self-hosted except for the LLM call (replaceable with local Ollama).
Architecture
The voice path runs through a single LLM provider — PiVoiceLLM, selected via selected_module.LLM in data/.config.yaml. One alternate provider ships as a fallback (OpenAICompat). (The former Tier1Slim two-tier provider was removed in the 2026-05-29 alignment pass — its tool escalation depended on the retired ZeroClaw bridge.)
StackChan hardware → configured persona
│ ESP32-S3, xiaozhi firmware (pinned BrettKinny/StackChan@dotty fork)
│ WiFi / WebSocket (Xiaozhi protocol)
▼
xiaozhi-esp32-server (Docker)
├─ ASR: FunASR SenseVoiceSmall / WhisperLocal (local)
├─ TTS: LocalPiper; EdgeTTS / StreamingEdgeTTS alternates
└─ LLM: PiVoiceLLM
│ PiClient → `docker exec -i dotty-pi pi --mode rpc …` (JSONL over stdio)
▼
dotty-pi container — the pi coding agent (the brain)
├─ outer loop: qwen3.5:4b on llama-swap
└─ dotty-pi-ext extension → 7 voice tools:
memory_lookup · remember · recall_person · remember_person · think_hard (→ qwen3.6:27b-think) · take_photo · play_song
only TTS-bound text streams back to xiaozhi-server
Perception + ambient behaviour: firmware `event` frames → xiaozhi relay → dotty-behaviour (FastAPI, :8090)
Admin dashboard: bridge.py (FastAPI, :8081, served at /ui)
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.
- 7d ago Changed · +1 lines · +31 tokens per session b7cf01839f96
- 1mo ago Changed · +10 lines · +115 tokens per session 85c729b1db6e
- 2mo ago First seen · 216 lines · 4,618 tokens per session scan A aa418d3b2093
dotty-stackchan CLAUDE.md is an instructions file published in the GitHub repository BrettKinny/dotty-stackchan (124 stars, last pushed 2d ago), licensed MIT. It adds 4,764 tokens to every session, about $0.0191 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.