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.
npx agentmods add instructions/dvoraknc/heatherbot/agents-mdgit clone --depth 1 https://github.com/dvoraknc/heatherbotWhat 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 | $0.04021 | $0.04021 |
| Opus 5 | $0.02011 | $0.02011 |
| Sonnet 5 | $0.00804 | $0.00804 |
| Haiku 4.5 | $0.00402 | $0.00402 |
Grade A, and why
heatherbot AGENTS.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 3d 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.
curl http://localhost:1234/v1/models How it starts
The opening of the file, as written. The whole thing — 347 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — Bootstrap Guide for Coding Agents
This file is written for an autonomous coding agent (Claude Code, Codex, etc.) tasked with getting HeatherBot running on a fresh machine. It is a literal, ordered runbook. A human can follow it too. Read the whole file before you start executing — several steps have prerequisites that are cheaper to satisfy up front.
0. TL;DR for an agent
HeatherBot is a fully local, persona-driven AI companion that runs as a Telethon MTProto userbot (it logs in as a real Telegram account, not a Bot API bot). It talks to a local LLM over an OpenAI-compatible HTTP endpoint and has optional local services for image analysis, image generation, and voice.
To get a minimal text-only bot alive you need exactly four things:
- Python 3.11
- A running local LLM server on
http://localhost:1234/v1(llama.cpp'sllama-server, LM Studio, or anything OpenAI-compatible) - Telegram API credentials (
API_ID+API_HASH) and a phone number to log in - A persona YAML (ship
persona_example.yamlas-is to start)
Everything else (Ollama vision, ComfyUI image gen, ElevenLabs/Coqui voice, semantic vector memory, the Discord bridge) is optional and fail-soft — the core bot runs without them.
Do not expect a one-command install. This is infrastructure, not an app.
1. System requirements
| Requirement | Minimum | Notes |
|---|---|---|
| OS | Windows 10/11, Linux, or macOS | Original deployment is Windows 11. Paths in helper .ps1 scripts are Windows; the Python is cross-platform. |
| Python | 3.11.x | 3.12 likely works; 3.11 is tested. |
| RAM | 16 GB | 32 GB+ comfortable. |
| GPU | 1× 8 GB VRAM for a small (7B–12B) model | A 24B model wants ~24 GB (one RTX 3090) or quantization. Original runs dual RTX 3090. |
| Disk | 10–40 GB | Dominated by the GGUF model file, which you supply separately. |
| Network | Outbound to Telegram | All AI inference is local; no cloud LLM required. |
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.
- 3d ago First seen · 347 lines · 4,021 tokens per session scan A 3b3cc4ae68c2
heatherbot AGENTS.md is an instructions file published in the GitHub repository dvoraknc/heatherbot (20 stars, last pushed 2mo ago), licensed MIT. It adds 4,021 tokens to every session, about $0.0201 per session on Opus 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
goclaw AGENTS.md
AGENTS.md instructions for nextlevelbuilder/goclaw, covering goclaw gateway, language, tech stack, project structure and key patterns.
goclaw CLAUDE.md
Claude Code instructions for nextlevelbuilder/goclaw, covering goclaw gateway, language, tech stack, project structure and key patterns.
Tidal_Echo AGENTS.md
AGENTS.md instructions for anhe2021212-spec/Tidal_Echo, covering agents.md — 给「被派来部署本仓库」的 ai 助手, 0. 30 秒看懂你要装什么, 1. 部署顺序(必须按序,每步先验证再进下一步), ① 后端 relay —— 先跑通它,其余都是它的客户端 and ② 前端 pwa.
CachiBot CLAUDE.md
Instructions for jhd3197/CachiBot, covering claude.md, project overview, common commands, backend development and frontend development.
luna-agent CLAUDE.md
Instructions for nonatofabio/luna-agent, covering claude.md, what this is, commands, activate venv (required for all commands) and install dependencies.
gptme AGENTS.md
AGENTS.md instructions for gptme/gptme, covering agent instructions for gptme, git workflow, code style, testing and project structure.