What is aigentify AGENTS.md?

An instruction file describing how to use Aigentify, a tool that checks whether a product is ready for software agents and creates the public information they need.

Use it to understand Aigentify's library, command-line interface, and MCP connection, plus the expected audit and artifact-generation process.

It gives contributors one documented loop for finding agent-readiness gaps, fixing them, and generating the missing public files.

How pooriaarab/aigentify configures Codex and OpenCode

Reuse

Borrowing it

Nothing to install: this file belongs to pooriaarab/aigentify. 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/pooriaarab/aigentify/main/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/pooriaarab/aigentify

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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/pooriaarab/aigentify/agents-md/github.svg)](https://agentmods.dev/instructions/pooriaarab/aigentify/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/pooriaarab/aigentify/agents-md"><img src="https://agentmods.dev/badge/instructions/pooriaarab/aigentify/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/pooriaarab/aigentify/agents-md"><img src="https://agentmods.dev/badge/instructions/pooriaarab/aigentify/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 818 This file is loaded in full into every session.

When invoked 818 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.

Model	Per session	Once invoked
Fable 5.1	$0.00818	$0.00818
Opus 5.5	$0.00327	$0.00327
Sonnet 5.5	$0.00164	$0.00164
Haiku 4.5	$0.00082	$0.00082

Measured 2mo ago against content hash 3f8e10c185d4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

aigentify 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 · 108 lines

How it starts

The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.

aigentify

Before public copy or interface work, read .agents/brand.md and .agents/design.md.

Mental model

aigentify audits whether a product is ready for agents and creates the public files that agents need.

The faces

Library: import auditTarget and generate from aigentify.
CLI: use aigentify audit, aigentify init, aigentify gen, or aigentify mcp.
MCP: connect to aigentify-mcp over stdio.

MCP tools

Tool	Input	Result
audit	`{ target }`	A score and a list of agent-readiness gaps.
gen	`{ artifact, params }`	Generated artifact text.

The loop

Audit the product directory or URL.
Fix the highest-impact gap.
Generate the missing public artifact.
Audit again.

Rules

Treat product facts as source facts.
Keep public instructions about the product and its use.
State prices plainly.
Use the same artifact names across the library, CLI, and MCP tool.

Offer

aigentify is free to use.

Price: USD 0

Pull requests

One issue. One PR. One concern. Under 500 counted lines.

Open the issue first. No issue, no branch. The issue number ties the branch, the title, the body and the merged commit to one agreed piece of work.

branch:  aig-<issue>-<slug>          aig-142-fix-onboarding-drop-off
title:   [AIG-<issue>] <Subject>   [AIG-142] Fix onboarding drop-off
body:    Closes #142
         ## What / ## Why / ## How I verified
         Assisted-by: <agent>:<model>

Subject line: imperative mood, 10-50 characters, no trailing period, no emoji. Write "Fix the drop-off", not "Fixed the drop-off".

Hard caps, failed by the pr-standards CI check: 500 counted lines, 40 counted files, exactly one Closes #. Lockfiles, build output, snapshots, generated code and migrations are not counted. There is no label that clears the cap and no one to ask for one. Split the change.

Settings for this repo are in .github/pr-standards.json. The standard is at https://github.com/pooriaarab/scripts/blob/main/pr-standards.md

Read the full file on GitHub · 108 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.

2mo ago Changed · +69 lines · +574 tokens per session 3f8e10c185d4
2mo ago First seen · 39 lines · 244 tokens per session scan A 5a46e6ab7389

Subscribe to this mod's changes

aigentify AGENTS.md is an instructions file published in the GitHub repository pooriaarab/aigentify (0 stars, last pushed 3d ago), licensed MIT. It adds 818 tokens to every session, about $0.0033 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.

Building agents agent-native agents-md cli json-ld llms-txt mcp

aigentify AGENTS.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
aigentify AGENTS.mdpooriaarab/aigentify	Instructions file	0	3d ago	MIT	A	818	Codex, OpenCode
whichrules copilot-instructions.mdz35068037/whichrules	Instructions file	5	3mo ago	MIT	A	21	GitHub Copilot
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	today	MIT	A	9,719	GitHub Copilot
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	today	MIT	A	5,516	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	yesterday	MIT	A	7,461	Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	today	MIT	A	4,680	Codex, OpenCode
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	today	MIT	A	3,093	GitHub Copilot

aigentify: Instructions file for Codex