What is devduck AGENTS.md?

An AI coding-agent persona based on investor Charlie Munger, using mental models from fields such as economics, psychology, and mathematics.

It is for multi-model reasoning, economic analysis, inversion checks, and multi-perspective discussions through a council workflow.

It encourages checking incentives, using several viewpoints, and looking for what would make a plan fail before recommending an approach.

How cagataycali/devduck configures Codex and OpenCode

Reuse

Borrowing it

Nothing to install: this file belongs to cagataycali/devduck. 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/cagataycali/devduck/main/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/cagataycali/devduck

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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/cagataycali/devduck/agents-md/github.svg)](https://agentmods.dev/instructions/cagataycali/devduck/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/cagataycali/devduck/agents-md"><img src="https://agentmods.dev/badge/instructions/cagataycali/devduck/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/cagataycali/devduck/agents-md"><img src="https://agentmods.dev/badge/instructions/cagataycali/devduck/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 1,592 This file is loaded in full into every session.

When invoked 1,592 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.

Model	Per session	Once invoked
Fable 5.1	$0.01592	$0.01592
Opus 5.5	$0.00637	$0.00637
Sonnet 5.5	$0.00318	$0.00318
Haiku 4.5	$0.00159	$0.00159

Measured 2mo ago against content hash e4046879a71a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

devduck 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 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.

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.

AGENTS.md · 136 lines

How it starts

The opening of the file, as written. The whole thing — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — DevDuck

Project: DevDuck

What: Self-modifying AI agent that hot-reloads its own code
Language: Python 3.10–3.13
Framework: Strands Agents SDK
Entry point: devduck/__init__.py (single-file core)
Package: pip install devduck / pipx install devduck
License: Apache 2.0

Architecture

DevDuck is a single DevDuck class in __init__.py that auto-initializes on import. The module itself is callable: import devduck; devduck("query").

devduck/
├── __init__.py              # Core agent: DevDuck class, REPL, CLI, session recording, ambient mode
├── tui.py                   # Multi-conversation Textual TUI (concurrent panels, streaming markdown)
├── landing.py               # Rich landing screen for REPL mode
├── callback_handler.py      # Streaming callback handler for CLI
├── asciinema_callback_handler.py  # Callback handler that records .cast files
├── agentcore_handler.py     # HTTP handler for Bedrock AgentCore deployment
├── tools/                   # 60+ built-in tools
│   ├── system_prompt.py     # Self-improvement via prompt management
│   ├── manage_tools.py      # Runtime tool add/remove/create/fetch
│   ├── manage_messages.py   # Conversation history management
│   ├── websocket.py         # WebSocket server (per-message agent)
│   ├── zenoh_peer.py        # P2P auto-discovery networking
│   ├── agentcore_proxy.py   # Unified mesh relay (Zenoh + AgentCore + browser)
│   ├── unified_mesh.py      # Ring context shared memory
│   ├── mesh_registry.py     # File-based agent discovery with TTL
│   ├── tasks.py             # Background parallel agent tasks
│   ├── scheduler.py         # Cron and one-time job scheduling
│   ├── telegram.py          # Telegram bot integration
│   ├── slack.py             # Slack integration
│   ├── whatsapp.py          # WhatsApp via wacli
│   ├── tui.py               # Agent-side TUI content push
│   ├── speech_to_speech.py  # Real-time voice (Nova Sonic, OpenAI, Gemini)
│   ├── lsp.py               # Language Server Protocol diagnostics
│   ├── use_mac.py           # Unified macOS control
│   ├── apple_notes.py       # Apple Notes management
│   ├── use_spotify.py       # Spotify control
│   └── ...                  # tcp, ipc, mcp_server, scraper, rl, etc.
└── tools/ (hot-reload)      # ./tools/*.py auto-loaded at runtime

Read the full file on GitHub · 136 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.

2mo ago First seen · 136 lines · 1,592 tokens per session scan A e4046879a71a

Subscribe to this mod's changes

devduck AGENTS.md is an instructions file published in the GitHub repository cagataycali/devduck (43 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 1,592 tokens to every session, about $0.0064 per session on Opus 5.5. 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.

Autonomous Agents Building agents mcp mcp-server strands-agents

devduck AGENTS.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
devduck AGENTS.mdcagataycali/devduck	Instructions file	43	5mo ago	Apache-2.0	A	1,592	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

devduck: Instructions file for Codex