Cognition AGENTS.md

Cognition AGENTS.md is an instructions file for Codex, OpenCode from CognicellAI/Cognition. It costs 4,360 tokens per session, scanned A, original, MIT.

Project instructions for Cognition, a Python coding agent with a FastAPI server and a command-line interface. They describe how the project is organised and how to install, run, test, type-check, and format it.

In plain words
What is it for?
Installing dependencies, starting the development server or client, running pytest tests, checking types with mypy, and checking or formatting code with Ruff.
Why use it?
They give a coding agent the commands and project context it needs to work consistently. This reduces guesswork when changing or checking the code.

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/cognicellai/cognition/agents-md
Clone the repo
git clone --depth 1 https://github.com/CognicellAI/Cognition

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 Cognition AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/cognicellai/cognition/agents-md.svg)](https://agentmods.dev/instructions/cognicellai/cognition/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/cognicellai/cognition/agents-md"><img src="https://agentmods.dev/badge/instructions/cognicellai/cognition/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 4,360 This file is loaded in full into every session.
When invoked 4,360 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 5.1 $0.04360 $0.04360
Opus 5 $0.02180 $0.02180
Sonnet 5 $0.00872 $0.00872
Haiku 4.5 $0.00436 $0.00436

Measured 5d ago against content hash b4522801033f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

Cognition 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.

AGENTS.md · 485 lines

How it starts

The opening of the file, as written. The whole thing — 485 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — Cognition Coding Agent

Guidelines for agentic coding assistants working on this codebase.

Project Overview

Cognition is an OpenCode-style coding agent with:

  • Server: FastAPI WebSocket API with Deep Agents runtime (server/)
  • Client: CLI/TUI for interactive sessions (client/)
  • Execution: Container-per-session with optional network isolation
  • Scope: Python repos only, pytest-based testing

Build / Test / Lint Commands

This project uses uv for dependency management and task execution.

# Install dependencies
uv sync

# Run server (development)
# Runs the FastAPI server with hot reload
uv run uvicorn server.app.main:app --reload --port 8000

# Run client (development)
# Starts the CLI/TUI client
uv run python -m client.cli.main

# Run all tests
uv run pytest

# Run single test file
uv run pytest tests/unit/test_settings.py -v

# Run single test case
uv run pytest tests/unit/test_settings.py::TestSettingsDefaults::test_default_server_settings -v

# Type checking (Strict)
uv run mypy .

# Linting & Formatting (Ruff)
uv run ruff check .
uv run ruff format .

Code Style Guidelines

Python Standards

  • Python 3.11+ required.
  • Type Hints: strict mypy compliance. Use from __future__ import annotations.
  • Docstrings: Google style for all public functions/classes.
  • Line Length: Follow ruff config (default 88/100).
  • Imports: Grouped as stdlib, third-party, local. Use absolute imports.

Naming Conventions

  • snake_case: functions, variables, modules.
  • PascalCase: classes, types.
  • UPPER_CASE: constants.
  • _prefix: private methods/attributes.
  • async functions: often prefixed with verbs like get_, fetch_, handle_.

Async Patterns

  • Async/Await: Use for all I/O operations (DB, Network, File).
  • Concurrency: Use asyncio.gather() for parallel independent tasks.
  • Subprocesses: Use asyncio.create_subprocess_exec.

Error Handling

  • Exceptions: Use custom hierarchy in server/app/exceptions.py.
  • Pattern: Catch external errors -> Raise domain-specific CognitionError.
  • Logging: Log errors before raising if context is needed, otherwise let middleware handle it.

Read the full file on GitHub · 485 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 · 485 lines · 4,360 tokens per session scan A b4522801033f

Subscribe to this mod's changes

Cognition AGENTS.md is an instructions file published in the GitHub repository CognicellAI/Cognition (10 stars, last pushed 2d ago), licensed MIT. It adds 4,360 tokens to every session, about $0.0218 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 2026-08-31.

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