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/miticojo/ge-app-mcp/agents-mdgit clone --depth 1 https://github.com/miticojo/ge-app-mcpWrote 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/miticojo/ge-app-mcp/agents-md)<a href="https://agentmods.dev/instructions/miticojo/ge-app-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/miticojo/ge-app-mcp/agents-md.svg" alt="Measured on agentmods" 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 | $0.04518 | $0.04518 |
| Opus 5 | $0.02259 | $0.02259 |
| Sonnet 5 | $0.00904 | $0.00904 |
| Haiku 4.5 | $0.00452 | $0.00452 |
Grade A, and why
ge-app-mcp 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 4d 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 — 288 lines — stays where its author put it; the contents beside it link to each section on GitHub.
🤖 AI Coding Agent Developer Guide (AGENTS.md)
This document is the authoritative developer guide and instruction manual for any AI Coding Agent (such as Cursor, Windsurf, or custom agentic workflows) tasked with modifying, extending, or maintaining this Gemini Enterprise MCP Server.
Before making any modifications to this codebase, you must read, understand, and strictly adhere to the guidelines, architectural safeguards, and development workflows outlined below.
📋 Table of Contents
- Codebase Architecture & File Structure
- Dynamic Scoping & Gatekeeping (Least Privilege)
- GCP REST & Client API Safeguards (CRITICAL) 3.5. Native Agent Architecture: A2A vs Low-Code (Employee-Made) 3.7. Vertex AI Agent Platform Skills
- Step-by-Step Blueprint to Add a New Tool
- Operational Protocol for Surgical Code Editing
- Testing & Verification Protocol
1. Codebase Architecture & File Structure
This project is a Model Context Protocol (MCP) server written in TypeScript (ESM).
ge-app-mcp/
├── package.json # Project manifests and build scripts
├── tsconfig.json # TypeScript compiler configuration (Target: ES2022 / Module: NodeNext)
├── src/
│ ├── index.ts # MCP Server entrypoint (initializes transport, registers and routes tools)
│ ├── config.ts # Environment variables and dynamic scope parser
│ └── tools/ # Segmented tool implementation modules
│ ├── search.ts # Search and Conversational RAG tools (Data Plane)
│ ├── admin.ts # Datastore, schema, web crawler, and control tools (Control Plane)
│ └── billing.ts # Licensing pools and user seat allocation tools (Billing/Licensing Plane)
└── skills/ # Prompt templates conditioning AI Agents using this server
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.
- 4d ago First seen · 288 lines · 4,518 tokens per session scan A 14c40e0d2559
ge-app-mcp AGENTS.md is an instructions file published in the GitHub repository miticojo/ge-app-mcp (0 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 4,518 tokens to every session, about $0.0226 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.