skillz_mcp: Instructions file for Gemini CLI

GEMINI.md

skillz_mcp GEMINI.md is an instructions file for Gemini CLI from pwntato/skillz_mcp. It costs 1,324 tokens per session, scanned A, original, MIT.

A Gemini CLI instruction file for a Python 3.11 FastAPI server. The server provides MCP, a standard way for an AI agent to access tools, and can load skills as needed.

In plain words
What is it for?
Starting the server with Docker Compose, developing with hot reload, and adding or accessing skills stored in the project.
Why use it?
It explains how to run the project and where its code, dependencies, skills, and temporary files belong.

Instructions file for Gemini CLI

Written for Gemini CLI: the file is GEMINI.md. Also seen: mentions Gemini CLI.

This is pwntato/skillz_mcp's own configuration. It tells Gemini CLI how to work on skillz_mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything skillz_mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to pwntato/skillz_mcp. 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/pwntato/skillz_mcp/main/GEMINI.md
Clone the repo
git clone --depth 1 https://github.com/pwntato/skillz_mcp

Made for: Gemini CLI.

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 skillz_mcp GEMINI.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/pwntato/skillz_mcp/gemini-md.svg)](https://agentmods.dev/instructions/pwntato/skillz_mcp/gemini-md)
Your own site
<a href="https://agentmods.dev/instructions/pwntato/skillz_mcp/gemini-md"><img src="https://agentmods.dev/badge/instructions/pwntato/skillz_mcp/gemini-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,324 This file is loaded in full into every session.
When invoked 1,324 The same file — it is already loaded in full.
Security scan A 1 finding. 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.01324 $0.01324
Opus 5 $0.00662 $0.00662
Sonnet 5 $0.00265 $0.00265
Haiku 4.5 $0.00132 $0.00132

Measured 6d ago against content hash d6b295b261a2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

skillz_mcp GEMINI.md scanned grade A with 1 finding 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 6d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl http://localhost:8000/skills
GEMINI.md · 100 lines

How it starts

The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GEMINI.md

Project Overview

This project is a FastAPI server that serves as the MCP (Mission Control Plane). It is built with Python 3.11 and runs in a Docker container managed by Docker Compose. The application code is designed for hot-reloading. It also includes a "skills" feature that allows for progressive loading of tools and functionality for an LLM.

Building and Running

To build and run the server, use the following command:

docker compose up -d

The server will be available at http://localhost:8000.

Development Conventions

  • The main application code is located in the app directory.
  • Python dependencies are managed in the requirements.txt file.
  • The skillz directory is mounted into the container at /skillz and can be used for storing and accessing data.
  • The tmp directory is available for generating or copying files locally during development or agent operations. Its contents are git-ignored.

Skills

The skillz directory contains a collection of skills that can be progressively loaded and used by an LLM. Each skill is a directory that contains a SKILL.md file with YAML front matter for the name and description of the skill. The SKILL.md file can then reference other files within the skill's directory.

To create a new skill:

  1. Create a new directory in the skillz directory.
  2. Create a SKILL.md file in the new directory with YAML front matter for name and description.
  3. Add any other files for the skill in the same directory and reference them in the SKILL.md file.
  • New skill folders added to the skillz directory will be ignored by Git, except for skillz/sample_skill/.

API Endpoints

The following endpoints are available:

  • GET /: Redirects to the FastAPI documentation.
  • GET /skills: Returns an instruction field explaining the purpose of skills for LLMs, along with a list of all available skills.
  • GET /skills/{skill_id}: Returns an instruction field explaining the purpose of skills for LLMs, along with the content of the SKILL.md file for the specified skill.
  • GET /skills/{skill_id}/{file_path}: Returns an instruction field explaining the purpose of skills for LLMs, along with the content of a specific file for the specified skill.
  • GET /skills/{skill_id}/files: Returns an instruction field explaining the purpose of skills for LLMs, along with a list of all files for the specified skill.

Read the full file on GitHub · 100 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. 6d ago First seen · 100 lines · 1,324 tokens per session scan A d6b295b261a2

Subscribe to this mod's changes

skillz_mcp GEMINI.md is an instructions file published in the GitHub repository pwntato/skillz_mcp (0 stars, last pushed 10mo ago), licensed MIT. It adds 1,324 tokens to every session, about $0.0066 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-01.

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