ConnectOnion is an open-source, template-first toolkit for building, debugging, deploying, and operating AI agents. Developers use its command-line tools and Python runtime to create agents, add tools, connect services, deploy them, and make them callable by other agents, while the catalogue entries are related agents, skills, and instructions.
Borrowing it
Nothing to install: this file belongs to openonion/connectonion. 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/openonion/connectonion/main/AGENTS.mdgit clone --depth 1 https://github.com/openonion/connectonionWrote 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/openonion/connectonion/agents-md)<a href="https://agentmods.dev/instructions/openonion/connectonion/agents-md"><img src="https://agentmods.dev/badge/instructions/openonion/connectonion/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/openonion/connectonion/agents-md"><img src="https://agentmods.dev/badge/instructions/openonion/connectonion/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 | $0.05318 | $0.05318 |
| Opus 5.5 | $0.02127 | $0.02127 |
| Sonnet 5.5 | $0.01064 | $0.01064 |
| Haiku 4.5 | $0.00532 | $0.00532 |
Grade A, and why
connectonion 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 — 489 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
This file provides guidance to Codex (Codex.ai/code) when working with code in this repository.
Project Overview
ConnectOnion is a Python framework for creating AI agents with automatic activity logging, interactive debugging, and multi-agent collaboration. Philosophy: "Keep simple things simple, make complicated things possible" - simple 2-line agent creation, but production-ready with trust verification, event system, and plugin architecture.
Architecture
Core Components
- Agent (
connectonion/agent.py:29): Main orchestrator with LLM integration, tool execution, event system, and trust verification - LLM (
connectonion/llm.py:11): Unified abstraction supporting OpenAI, Anthropic, Gemini, and managed keys via factory pattern - Tool Executor (
connectonion/tool_executor.py:24): Executes tools with xray context injection, timing, error handling, and trace recording - Tool Factory (
connectonion/tool_factory.py): Converts Python functions to OpenAI-compatible tool schemas automatically - Logger (
connectonion/logger.py): Unified logging facade (terminal + plain text + YAML sessions) withquietandlogparameters - Console (
connectonion/console.py): Low-level terminal output with Rich formatting (used internally by Logger) - Events (
connectonion/events.py:11): Lifecycle hooks (after_user_input, before_llm, after_llm, before_each_tool, before_tools, after_each_tool, after_tools, on_error, on_complete, on_stop_signal) - Trust System (
connectonion/network/trust/): Three-level verification (open/careful/strict) with custom policy support - XRay Debug (
connectonion/xray.py:32): Runtime context injection for interactive debugging with@xraydecorator
Key Design Patterns
Tool System
- Function-based (recommended): Regular Python functions auto-convert to tools via type hints and docstrings
- Class-based (legacy): Inherit from
Toolbase class with explicit schemas - Auto-conversion:
create_tool_from_function()inspects signatures and generates OpenAI schemas
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 Changed · +8 lines · +123 tokens per session ba1bcb7ecc31
- 2mo ago Changed · +1 lines · +22 tokens per session 31f1340f6061
- 2mo ago First seen · 480 lines · 5,173 tokens per session scan A 2387a8d7589b
connectonion AGENTS.md is an instructions file published in the GitHub repository openonion/connectonion (1,507 stars, last pushed yesterday), licensed Apache-2.0. It adds 5,318 tokens to every session, about $0.0213 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.
connectonion AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| connectonion AGENTS.mdopenonion/connectonion | Instructions file | 1.5k | yesterday | Apache-2.0 | A | 5,318 | 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 | today | 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 |