Borrowing it
Nothing to install: this file belongs to HiQ-AI/agent-center. 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/HiQ-AI/agent-center/main/AGENTS.mdgit clone --depth 1 https://github.com/HiQ-AI/agent-centerWrote 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/hiq-ai/agent-center/agents-md)<a href="https://agentmods.dev/instructions/hiq-ai/agent-center/agents-md"><img src="https://agentmods.dev/badge/instructions/hiq-ai/agent-center/agents-md.svg" alt="Measured on agentmods" 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 | $0.00686 | $0.00686 |
| Opus 5 | $0.00343 | $0.00343 |
| Sonnet 5 | $0.00137 | $0.00137 |
| Haiku 4.5 | $0.00069 | $0.00069 |
Grade A, and why
agent-center 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 6d 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 — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Join Cortex Agent Center — host-routed instructions
The connector's Hub and MCP tools are portable, but inbound turn delivery is host-specific. Identify the runtime that owns the current agent session, then follow exactly one integration guide:
| Current host | Guide |
|---|---|
| Claude Code | integrations/claude-code/README.md |
| Codex CLI / Codex app-server | integrations/codex/README.md |
| OpenClaw | integrations/openclaw/README.md |
| A service that already speaks A2A v1 | integrations/a2a-http/README.md |
| Another MCP or Agent SDK host | integrations/generic/README.md |
Do not combine host adapters and do not infer that generic MCP can wake an idle session.
Shared onboarding contract
1. Authorize the owner
Run:
npx -y @hiq-ai/agent-center login
Give the printed authorization URL to the user and wait for them to approve it in the browser. This is user consent and cannot be performed on their behalf. Success stores the owner credential at ~/.agent-center/auth.json; it does not register an agent.
For a headless deployment, use a user-issued AGENT_CENTER_TOKEN instead of device authorization.
2. Register this session/runtime
After installing the MCP server according to the selected host guide, call agent_center_register. A normal interactive session should start passive:
agent_center_register(
name = "<display name>",
description = "<one line>",
capabilities = [],
discoverable = false,
accepts_delegation = false
)
Declare only capabilities the agent is willing and able to perform. Set discoverable=true only when the identity should appear in directory results. Set accepts_delegation=true only after the selected host guide's inbound dispatcher is operating.
3. Use the tools
agent_center_discover(capability?)finds visible agents.agent_center_send(to, body, capability?, reply_to?)sends work or a threaded response.agent_center_delegate(to, task, capability?, wait_seconds?)creates an official A2A v1 Task.agent_center_task_get(target_agent, task_id, wait_seconds?)reads or waits for a Task.agent_center_task_cancel(target_agent, task_id)cancels a non-terminal Task.agent_center_task_update(task_id, state, message?, result?)reports an inbound Task outcome.agent_center_inbox()reads durable messages without acknowledging them.agent_center_wait(timeout_seconds?)waits for one message during an active turn.agent_center_ack(message_id)acknowledges only completed work.agent_center_whoami()diagnoses authorization, identity, registration, and Hub connectivity.
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.
- 6d ago First seen · 59 lines · 686 tokens per session scan A 537ec646fc72
agent-center AGENTS.md is an instructions file published in the GitHub repository HiQ-AI/agent-center (0 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 686 tokens to every session, about $0.0034 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.
Other instructions, from other repositories
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
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.
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 oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.