deep-code-agent AGENTS.md

Project instructions for Deep Code Agent, an AI coding assistant built from multiple specialized agents. They describe the project structure, configuration, command-line interface, terminal tool, and text-based user interface.

In plain words
What is it for?
Use them when working on Deep Code Agent or changing its configuration, agent coordination, terminal commands, or text-based interface.
Why use it?
They give an agent a quick map of the codebase and its main parts, reducing the need to rediscover how the project is organized.

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/hzhaoy/deep-code-agent/agents-md
Clone the repo
git clone --depth 1 https://github.com/hzhaoy/deep-code-agent

Made for: Codex, OpenCode.

Per session 1,478 This file is loaded in full into every session.
When invoked 1,478 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 $0.01478 $0.01478
Opus 5 $0.00739 $0.00739
Sonnet 5 $0.00296 $0.00296
Haiku 4.5 $0.00148 $0.00148

Measured 2d ago against content hash 7b31e5c6b596, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

deep-code-agent 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 2d 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 · 210 lines

How it starts

The opening of the file, as written. The whole thing — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md - Deep Code Agent

Project Overview

Deep Code Agent is an AI-powered coding assistant built on the DeepAgents framework. It provides a multi-agent system with specialized subagents for various software development tasks.

Architecture

src/deep_code_agent/
├── __init__.py          # Package exports and entry point
├── __main__.py          # Module execution entry point
├── cli.py               # Command-line interface implementation
├── config.py            # Configuration constants and defaults
├── prompts.py           # System prompts and subagent configurations
├── code_agent.py        # Main agent creation and orchestration
├── models/
│   └── llms/
│       └── langchain_chat.py  # LLM integration layer
├── tools/
│   ├── __init__.py
│   └── terminal.py      # Terminal command execution tool
└── tui/                 # Terminal User Interface
    ├── __init__.py
    ├── app.py            # Main TUI application
    ├── bridge/            # Agent-bridge layer
    │   ├── __init__.py
    │   ├── agent_bridge.py
    │   └── stream_handler.py
    ├── screens/           # TUI screens
    │   ├── __init__.py
    │   ├── main_screen.py
    │   └── approval_modal.py
    ├── widgets/           # Reusable widgets
    │   ├── __init__.py
    │   ├── chat_log.py
    │   ├── input_box.py
    │   ├── message_bubble.py
    │   ├── side_panel.py
    │   ├── status_bar.py
    │   └── tool_call_view.py
    ├── styles/            # TUI styles
    │   ├── __init__.py
    │   └── main.tcss
    └── utils/
        └── __init__.py

Key Components

1. Config (config.py)

Centralized configuration for:

  • Timeout settings (MAX_TIMEOUT=300, DEFAULT_TIMEOUT=30)
  • Human-in-the-loop defaults (DEFAULT_INTERRUPT_ON)

2. Prompts (prompts.py)

Defines system prompt templates and subagent configurations:

  • get_system_prompt(): Main agent system prompt
  • create_subagent_configurations(): Creates 5 specialized subagents:
    • code_reviewer: Code review and quality analysis
    • test_writer: Test generation and TDD
    • documenter: Documentation creation
    • debugger: Debugging and error resolution
    • refactorer: Code refactoring and optimization

Read the full file on GitHub · 210 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. 2d ago First seen · 210 lines · 1,478 tokens per session scan A 7b31e5c6b596

Subscribe to this mod's changes

deep-code-agent AGENTS.md is an instructions file published in the GitHub repository hzhaoy/deep-code-agent (11 stars, last pushed 1mo ago), licensed MIT. It adds 1,478 tokens to every session, about $0.0074 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.