ai-agent-toolkit: Instructions file for Codex

AGENTS.md

ai-agent-toolkit AGENTS.md is an instructions file for Codex, OpenCode from weijunswj/ai-agent-toolkit. It costs 2,255 tokens per session, scanned A, original, no licence file.

A set of repository instructions for the weijunswj/ai-agent-toolkit project. It explains the project’s coding-agent rules, instruction priority, working modes, and how agents are organised and delegated.

In plain words
What is it for?
Use it when working in the ai-agent-toolkit repository, especially when deciding how to follow instructions, choose a working mode, or organise agent tasks.
Why use it?
It gives an agent the project context needed to make changes consistently. Clear rules can reduce conflicts between instructions and clarify when work should be delegated.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md.

This is weijunswj/ai-agent-toolkit's own configuration. It tells Codex and OpenCode how to work on ai-agent-toolkit itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything ai-agent-toolkit configures →

Reuse

Borrowing it

Nothing to install: this file belongs to weijunswj/ai-agent-toolkit. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/weijunswj/ai-agent-toolkit/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/weijunswj/ai-agent-toolkit

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 ai-agent-toolkit AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/weijunswj/ai-agent-toolkit/agents-md/github.svg)](https://agentmods.dev/instructions/weijunswj/ai-agent-toolkit/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/weijunswj/ai-agent-toolkit/agents-md"><img src="https://agentmods.dev/badge/instructions/weijunswj/ai-agent-toolkit/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.

agentmods 80×15 button for ai-agent-toolkit AGENTS.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/weijunswj/ai-agent-toolkit/agents-md"><img src="https://agentmods.dev/badge/instructions/weijunswj/ai-agent-toolkit/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 2,255 This file is loaded in full into every session.
When invoked 2,255 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown 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 $0.02255 $0.02255
Opus 5.5 $0.00902 $0.00902
Sonnet 5.5 $0.00451 $0.00451
Haiku 4.5 $0.00226 $0.00226

Measured today against content hash ef79ac4a6ba8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ai-agent-toolkit 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 today.

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 · 66 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. today Changed · +1 lines · +18 tokens per session ef79ac4a6ba8
  2. 2d ago Changed · +1 tokens per session 3d5d76cbf00b
  3. 3d ago Changed 743ccabf33c8
  4. 5d ago Changed · +39 tokens per session ec33ded239b2
  5. 6d ago Changed c44701d85e26
  6. 8d ago Changed · +58 tokens per session ef653b96af04
  7. 9d ago Changed 91b6a51ad450
  8. 10d ago Changed · +9 tokens per session 560ce19149aa
  9. 12d ago Changed · -1 tokens per session 69f8e5a3ec14
  10. 13d ago First seen · 65 lines · 2,131 tokens per session scan A 09ef55e14ea7

Subscribe to this mod's changes

ai-agent-toolkit AGENTS.md is an instructions file published in the GitHub repository weijunswj/ai-agent-toolkit (2 stars, last pushed today), with no licence file. It adds 2,255 tokens to every session, about $0.0090 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.

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deepseek-harness AGENTS.mddeepseek-ai/deepseek-harnessInstructions file275k3d agoMITA4,313Codex, OpenCode