Borrowing it
Nothing to install: this file belongs to ehsanghaffar/einbiogpt. 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/ehsanghaffar/einbiogpt/main/AGENTS.mdgit clone --depth 1 https://github.com/ehsanghaffar/einbiogptWrote 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/ehsanghaffar/einbiogpt/agents-md)<a href="https://agentmods.dev/instructions/ehsanghaffar/einbiogpt/agents-md"><img src="https://agentmods.dev/badge/instructions/ehsanghaffar/einbiogpt/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/ehsanghaffar/einbiogpt/agents-md"><img src="https://agentmods.dev/badge/instructions/ehsanghaffar/einbiogpt/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 | $0.00885 | $0.00885 |
| Opus 5.5 | $0.00354 | $0.00354 |
| Sonnet 5.5 | $0.00177 | $0.00177 |
| Haiku 4.5 | $0.00089 | $0.00089 |
Grade A, and why
einbiogpt 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.
How it starts
The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md - Coding Guidelines for AI Agents
Project Overview
- Framework: Next.js 14+ with App Router
- Language: TypeScript 4.9.4
- UI: React 18.2.0 + Tailwind CSS 3.2.4
- Components: shadcn/ui (Radix UI primitives)
- Package Manager: Yarn 1.22.22
- Language: Persian/Farsi (RTL direction)
Build/Development Commands
# Development server
yarn dev
# Production build
yarn build
# Start production server
yarn start
# Clean and reinstall dependencies
yarn run clean
# Docker commands (via Makefile)
make build # Build Docker containers
make start # Start containers in detached mode
make logs # View container logs
make stop # Stop containers
Note: No lint, test, or format commands are currently configured.
Code Style Guidelines
TypeScript Configuration
- Target: ES5
- Strict mode enabled
- Module resolution: Node
- Path alias:
@/*maps to root directory - JSX: preserve (Next.js handles compilation)
Import Order
- React/Next.js imports
- Third-party libraries
- Internal UI components (
@/components/ui/*) - Other internal components (
@/components/*) - Utilities (
@/lib/utils) - Types
- Styles
Naming Conventions
- Components: PascalCase (e.g.,
BioGenerator,Header) - Hooks: camelCase starting with
use(e.g.,useState) - Utilities: camelCase (e.g.,
cn,errorHandler) - Types/Interfaces: PascalCase (e.g.,
ButtonProps) - Files: kebab-case for utilities, PascalCase for components
Component Structure
"use client"; // If client component (before imports)
import { useState } from "react"; // React imports first
import { motion } from "framer-motion"; // Third-party
import { Button } from "@/components/ui/button"; // UI components
import { cn } from "@/lib/utils"; // Utilities
// Types
interface Props {
// ...
}
// Component
export const ComponentName = ({ prop }: Props) => {
// Hooks
const [state, setState] = useState();
// Handlers
const handleClick = () => {};
// Render
return <div>...</div>;
};
export default ComponentName;
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 First seen · 132 lines · 885 tokens per session scan A 40b7f87be12b
einbiogpt AGENTS.md is an instructions file published in the GitHub repository ehsanghaffar/einbiogpt (21 stars, last pushed 25d ago), licensed MIT. It adds 885 tokens to every session, about $0.0035 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.
einbiogpt AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| einbiogpt AGENTS.mdehsanghaffar/einbiogpt | Instructions file | 21 | 25d ago | MIT | A | 885 | 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 |