AI-Architecture-Toolkit: Instructions file for Codex

AGENTS.md

AI-Architecture-Toolkit AGENTS.md is an instructions file for Codex, OpenCode from Future-CX/AI-Architecture-Toolkit. It costs 941 tokens per session, scanned A, original, MIT.

Project instructions for the AI-Architecture-Toolkit repository. They define how to create agents, update visible lists, protect confidential information, and write clearly for business readers.

In plain words
What is it for?
Use them when adding or updating agents, examples, governance documents, architecture artifacts, or the public homepage in this toolkit.
Why use it?
They keep contributions consistent with the repository’s structure, public-information rules, and readability standards.

Instructions file for CodexOpenCode

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

This is Future-CX/AI-Architecture-Toolkit's own configuration. It tells Codex and OpenCode how to work on AI-Architecture-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-Architecture-Toolkit configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Future-CX/AI-Architecture-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/Future-CX/AI-Architecture-Toolkit/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/Future-CX/AI-Architecture-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-Architecture-Toolkit AGENTS.md

README.md
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Your own site
<a href="https://agentmods.dev/instructions/future-cx/ai-architecture-toolkit/agents-md"><img src="https://agentmods.dev/badge/instructions/future-cx/ai-architecture-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-Architecture-Toolkit AGENTS.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/future-cx/ai-architecture-toolkit/agents-md"><img src="https://agentmods.dev/badge/instructions/future-cx/ai-architecture-toolkit/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 941 This file is loaded in full into every session.
When invoked 941 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 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 $0.00941 $0.00941
Opus 5.5 $0.00376 $0.00376
Sonnet 5.5 $0.00188 $0.00188
Haiku 4.5 $0.00094 $0.00094

Measured 2mo ago against content hash 34d0cd09da6d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

AI-Architecture-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 2mo 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 · 87 lines

How it starts

The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS

When creating agents, use the create-an-agent skill.

When creating or updating agents:

  • Update the Agents table in the top-level README.md.
  • Update the public homepage at www/index.html when the visible agent list or agent positioning changes.
  • Keep agent briefs under agents/.
  • Do not create real-company agent variants in this public repository.

EXAMPLES

GOVERNANCE

Do not add company-confidential information, customer names, internal system names, proprietary architecture details, credentials, or non-public business context to this repository. Use a separate private company lab repository for real-world testing.

Generated artifacts that contain real company context belong in a private company lab repository, not in this public toolkit. This includes real glossaries, ADRs, capability overviews, target architecture documents, solution architecture designs, diagrams, roadmaps, and review findings.

Toolkit-aware scripts and agents should honor .toolkitignore when deciding what counts as active toolkit content.

READABILITY

When creating stakeholder-facing documents:

  • Treat non-technical business stakeholders as the primary audience.
  • Start with the business outcome, the decision or recommendation, and the operational impact.
  • Use plain language first. Add technical detail only when it changes a decision, risk, cost, ownership, timeline, or support model.
  • Prefer short sentences, short paragraphs, clear headings, and concrete trade-offs.
  • Prefer short sections and bullet lists over tables. Tables are often harder for people to read, especially when cells contain full sentences or detailed explanations.
  • Use a table only when it makes a compact comparison, repeated field mapping, or index materially easier to scan. Move detailed explanation into prose, bullets, or an appendix.
  • Keep dense implementation detail in later sections or appendices after the stakeholder summary.
  • Avoid unnecessary technical jargon. Explain acronyms and domain-specific terms when first used.
  • Make recommendations, decisions, owners, risks, and open questions easy to find.
  • Before finishing, reread the opening sections and simplify any sentence that a business reader would need to parse twice.

Read the full file on GitHub · 87 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. 2mo ago Changed · +2 lines · +61 tokens per session 34d0cd09da6d
  2. 2mo ago First seen · 85 lines · 880 tokens per session scan A 502ef7a4724f

Subscribe to this mod's changes

AI-Architecture-Toolkit AGENTS.md is an instructions file published in the GitHub repository Future-CX/AI-Architecture-Toolkit (8 stars, last pushed 18d ago), licensed MIT. It adds 941 tokens to every session, about $0.0038 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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