Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/ehsanghaffar/einbiogpt/agents-mdgit clone --depth 1 https://github.com/ehsanghaffar/einbiogptWhat 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 | $0.00885 | $0.00885 |
| Opus 5 | $0.00443 | $0.00443 |
| Sonnet 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 yesterday.
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.
- yesterday 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 (19 stars, last pushed 7d ago), licensed MIT. It adds 885 tokens to every session, about $0.0044 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 2026-08-30.
Other instructions, from other repositories
generative-ai-for-beginners AGENTS.md
Instructions for microsoft/generative-ai-for-beginners, covering agents.md, project overview, setup commands, initial repository setup and clone the repository.
LightRAG AGENTS.md
AGENTS.md instructions for HKUDS/LightRAG, covering repository guidelines, project overview, project structure, module layout (lightrag/) and core architecture.
helicone CLAUDE.md
Instructions for Helicone/helicone, covering claude.md, project overview, core architecture, services and data flow.
langroid CLAUDE.md
Instructions for langroid/langroid, covering claude.md, commands, development, testing and linting and type checking.
helicone AGENTS.md
Instructions for Helicone/helicone, covering repository guidelines, project structure & module organization, build, test, and development commands, coding style & naming conventions and testing guidelines.
AstrBot AGENTS.md
AGENTS.md instructions for AstrBotDevs/AstrBot, covering setup commands, core, dashboard(webui), pre-commit setup and dev environment tips.