ductor AGENTS.md

ductor AGENTS.md is an instructions file for Codex, OpenCode from PleasePrompto/ductor. It costs 1,656 tokens per session, scanned A, original, MIT.

Repository guidance for coding agents working on ductor, a Python chat orchestrator that connects provider command-line tools to Telegram, Matrix, and optional WebSocket clients.

In plain words
What is it for?
Setting up ductor, running it, tracing message flow, running tests, and checking or formatting Python code.
Why use it?
It gives the agent a current map of the project, including setup, commands, architecture, and testing steps, so it can work without guessing.

Instructions file for CodexOpenCode

Install

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.

agentmods
npx agentmods add instructions/pleaseprompto/ductor/agents-md
Clone the repo
git clone --depth 1 https://github.com/PleasePrompto/ductor

Made for: Codex, OpenCode.

Wrote 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.

agentmods badge for ductor AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/pleaseprompto/ductor/agents-md.svg)](https://agentmods.dev/instructions/pleaseprompto/ductor/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/pleaseprompto/ductor/agents-md"><img src="https://agentmods.dev/badge/instructions/pleaseprompto/ductor/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,656 This file is loaded in full into every session.
When invoked 1,656 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.01656 $0.01656
Opus 5 $0.00828 $0.00828
Sonnet 5 $0.00331 $0.00331
Haiku 4.5 $0.00166 $0.00166

Measured 5d ago against content hash 2398e0c0d303, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ductor AGENTS.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 5d 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.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

AGENTS.md · 182 lines

How it starts

The opening of the file, as written. The whole thing — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.

This file gives coding agents a current map of the repository.

Project Overview

ductor is a multi-transport chat orchestrator for the official provider CLIs (claude, codex, gemini, agy, grok). It runs Telegram and/or Matrix, can expose an optional direct WebSocket API, keeps state under ~/.ductor, and supervises the main agent plus optional sub-agents in one asyncio process.

Stack:

  • Python 3.11+
  • aiogram 3.x (Telegram)
  • matrix-nio (Matrix, optional extra)
  • aiohttp (webhook server, internal API, optional direct API)
  • Pydantic 2.x
  • asyncio

Development Commands

# Setup
python -m venv .venv && source .venv/bin/activate
pip install -e ".[dev]"

# Run
ductor
ductor -v

# Tests
pytest
pytest -k "pattern"

# Quality
ruff format .
ruff check .
mypy ductor_bot

Runtime Flow

Telegram:
  Update -> AuthMiddleware -> SequentialMiddleware -> TelegramBot
  -> Orchestrator -> CLIService -> provider subprocess -> Telegram delivery

Matrix:
  sync event -> MatrixBot auth/room checks -> Orchestrator
  -> CLIService -> provider subprocess -> Matrix delivery

API (optional):
  /ws auth (token + e2e_pk + optional chat_id/channel_id)
  -> encrypted frames -> Orchestrator streaming -> encrypted result events

Background and async delivery:

Observer / TaskHub / InterAgentBus callback
  -> bus.adapters -> Envelope -> MessageBus
  -> optional shared lock + optional session injection
  -> registered transport adapters (TelegramTransport / MatrixTransport)

Module Map

Module Purpose
cli_commands/ CLI command implementations (service, docker, api, agents, lifecycle, install, status)
messenger/ transport protocol, capabilities, notifications, registry, multi-transport adapter
messenger/telegram/ Telegram transport: middleware, handlers, startup, callback routing, file/media UX
messenger/matrix/ Matrix transport: sync loop, auth, segment streaming, reaction buttons, media
orchestrator/ command routing, directives/hooks, flows, provider/session/task wiring, lifecycle split
bus/ unified Envelope, MessageBus, shared LockPool, delivery adapters
cli/ provider wrappers, stream parsing, auth detection, model caches, process registry
session/ SessionKey(transport, chat_id, topic_id), provider-isolated session buckets, named sessions
tasks/ delegated background task runtime (TaskHub) and persistent registry
background/ named background session execution for /session
multiagent/ supervisor, inter-agent bus, internal localhost API bridge, shared knowledge sync
api/ optional direct WebSocket API and authenticated file endpoints
cron/, webhook/, heartbeat/, cleanup/ in-process automation observers
workspace/ ~/.ductor path model, seeding, rule deployment/sync, skill sync
infra/ PID lock, service backends, Docker manager, restart/update/recovery helpers
files/, security/, text/ shared file/path safety, prompt safety, formatting helpers

Read the full file on GitHub · 182 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. 5d ago First seen · 182 lines · 1,656 tokens per session scan A 2398e0c0d303

Subscribe to this mod's changes

ductor AGENTS.md is an instructions file published in the GitHub repository PleasePrompto/ductor (454 stars, last pushed 1mo ago), licensed MIT. It adds 1,656 tokens to every session, about $0.0083 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.