agents-md-generator AGENTS.md

agents-md-generator AGENTS.md is an instructions file for Codex, OpenCode from nushey/agents-md-generator. It costs 1,317 tokens per session, scanned A, original, MIT.

Project instructions for agents-md-generator, a Python MCP server that analyzes source code and maintains AGENTS.md files. These files describe a project's structure and conventions to AI coding agents.

In plain words
What is it for?
Use it when developing or maintaining the generator, its code analyzers, caching pipeline, tests, or MCP server.
Why use it?
It helps an agent understand the codebase before making changes, instead of discovering its architecture from scratch each time.

Instructions file for CodexOpenCode

Install

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.

agentmods
npx agentmods add instructions/nushey/agents-md-generator/agents-md
Clone the repo
git clone --depth 1 https://github.com/nushey/agents-md-generator

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 agents-md-generator AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/nushey/agents-md-generator/agents-md.svg)](https://agentmods.dev/instructions/nushey/agents-md-generator/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/nushey/agents-md-generator/agents-md"><img src="https://agentmods.dev/badge/instructions/nushey/agents-md-generator/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,317 This file is loaded in full into every session.
When invoked 1,317 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.01317 $0.01317
Opus 5 $0.00659 $0.00659
Sonnet 5 $0.00263 $0.00263
Haiku 4.5 $0.00132 $0.00132

Measured 2d ago against content hash ba25102ea032, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

agents-md-generator 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 2d 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 · 98 lines

How it starts

The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — agents-md-generator

Project Overview

agents-md-generator is a Python-based MCP (Model Context Protocol) server designed to generate and maintain AGENTS.md files—architectural context documents for AI coding agents. It uses Tree-sitter for high-fidelity AST analysis across multiple languages (Python, TypeScript, Go, C#) and uv for dependency management. The system operates as an incremental, cache-aware pipeline that transforms a codebase into a structured payload for AI assistants to perform maintenance tasks without manual exploration.

Tech Stack

  • Backend: Python, MCP SDK, Pydantic, Tree-sitter.
  • Package Management: uv.
  • Infrastructure: GitHub Actions (CI/CD), Pytest.
  • Configuration: pyproject.toml.

Project Map

Module Purpose
src/agents_md_mcp/ Core analysis pipeline, caching logic, and MCP server implementation.
src/agents_md_mcp/languages/ Language-specific AST analyzer implementations (Python, Go, TypeScript, C#).
tests/ Unit and integration test suite covering the full analysis pipeline.
tests/fixtures/ Sample source files in various languages used as AST parsing targets.
docs/ Architectural design notes and technical documentation.
.gemini/ Configuration and settings for the Gemini CLI agent.
.claude/ Local settings and hooks for Claude Code.
.github/workflows/ CI/CD workflow definitions for automated testing and releases.

Architecture & Data Flow

The system follows a linear pipeline architecture: project_scanner identifies files, change_detector determines analysis targets via a git-based cache, ast_analyzer parses source code into structured symbols, aggregator collapses large directories, and context_builder assembles the final JSON payload.

  • Architectural Anchors:
    • LanguageAnalyzer: The abstract base class in src/agents_md_mcp/languages/base.py that all language-specific analyzers must implement.
    • ProjectConfig: Loaded via load_config in src/agents_md_mcp/config.py, governing the scan scope and language mapping.
  • Routing: The MCP interface is defined in src/agents_md_mcp/server.py using @mcp.tool decorators, which orchestrate the internal modules.

Read the full file on GitHub · 98 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. 2d ago First seen · 98 lines · 1,317 tokens per session scan A ba25102ea032

Subscribe to this mod's changes

agents-md-generator AGENTS.md is an instructions file published in the GitHub repository nushey/agents-md-generator (6 stars, last pushed 23d ago), licensed MIT. It adds 1,317 tokens to every session, about $0.0066 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 2026-08-31.

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