Borrowing it
Nothing to install: this file belongs to CognicellAI/Cognition. 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/CognicellAI/Cognition/main/AGENTS.mdgit clone --depth 1 https://github.com/CognicellAI/CognitionWrote 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/cognicellai/cognition/agents-md)<a href="https://agentmods.dev/instructions/cognicellai/cognition/agents-md"><img src="https://agentmods.dev/badge/instructions/cognicellai/cognition/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/cognicellai/cognition/agents-md"><img src="https://agentmods.dev/badge/instructions/cognicellai/cognition/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 | $0.04360 | $0.04360 |
| Opus 5.5 | $0.01744 | $0.01744 |
| Sonnet 5.5 | $0.00872 | $0.00872 |
| Haiku 4.5 | $0.00436 | $0.00436 |
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 1mo 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.
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
mypycompliance. Usefrom __future__ import annotations. - Docstrings: Google style for all public functions/classes.
- Line Length: Follow
ruffconfig (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.asyncfunctions: often prefixed with verbs likeget_,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.
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.
- 1mo ago First seen · 485 lines · 4,360 tokens per session scan A b4522801033f
Cognition AGENTS.md is an instructions file published in the GitHub repository CognicellAI/Cognition (11 stars, last pushed yesterday), licensed MIT. It adds 4,360 tokens to every session, about $0.0174 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 2026-08-31.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deno copilot-instructions.md
Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.