Borrowing it
Nothing to install: this file belongs to dvoraknc/heatherbot. 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/dvoraknc/heatherbot/master/AGENTS.mdgit clone --depth 1 https://github.com/dvoraknc/heatherbotWrote 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/dvoraknc/heatherbot/agents-md)<a href="https://agentmods.dev/instructions/dvoraknc/heatherbot/agents-md"><img src="https://agentmods.dev/badge/instructions/dvoraknc/heatherbot/agents-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/dvoraknc/heatherbot/agents-md"><img src="https://agentmods.dev/badge/instructions/dvoraknc/heatherbot/agents-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 | $0.04021 | $0.04021 |
| Opus 5.5 | $0.01608 | $0.01608 |
| Sonnet 5.5 | $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 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.
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.
- 2mo 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 (23 stars, last pushed 4mo ago), licensed MIT. It adds 4,021 tokens to every session, about $0.0161 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.
heatherbot AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| heatherbot AGENTS.mddvoraknc/heatherbot | Instructions file | 23 | 4mo ago | MIT | A | 4,021 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |