vtube-studio-plugin-mcp-server: Instructions file for Gemini CLI

GEMINI.md

vtube-studio-plugin-mcp-server GEMINI.md is an instructions file for Gemini CLI from hkopenai/vtube-studio-plugin-mcp-server. It costs 543 tokens per session, scanned A, original, MIT.

A set of development instructions for a VTube Studio plugin MCP server. VTube Studio is software for controlling an animated virtual avatar, and MCP lets an AI client use connected tools.

In plain words
What is it for?
It is for guiding development of controls and queries for models, expressions, animations, scenes, parameters, hotkeys, tracking, and related VTube Studio data.
Why use it?
It documents how the server should call its APIs and handle errors, while showing which listed interactions have not yet been validated.

Instructions file for Gemini CLI

Written for Gemini CLI: the file is GEMINI.md.

This is hkopenai/vtube-studio-plugin-mcp-server's own configuration. It tells Gemini CLI how to work on vtube-studio-plugin-mcp-server 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 vtube-studio-plugin-mcp-server configures →

Reuse

Borrowing it

Nothing to install: this file belongs to hkopenai/vtube-studio-plugin-mcp-server. 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/hkopenai/vtube-studio-plugin-mcp-server/main/GEMINI.md
Clone the repo
git clone --depth 1 https://github.com/hkopenai/vtube-studio-plugin-mcp-server

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 vtube-studio-plugin-mcp-server GEMINI.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/hkopenai/vtube-studio-plugin-mcp-server/gemini-md/github.svg)](https://agentmods.dev/instructions/hkopenai/vtube-studio-plugin-mcp-server/gemini-md)
Your own site
<a href="https://agentmods.dev/instructions/hkopenai/vtube-studio-plugin-mcp-server/gemini-md"><img src="https://agentmods.dev/badge/instructions/hkopenai/vtube-studio-plugin-mcp-server/gemini-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.

agentmods 80×15 button for vtube-studio-plugin-mcp-server GEMINI.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/hkopenai/vtube-studio-plugin-mcp-server/gemini-md"><img src="https://agentmods.dev/badge/instructions/hkopenai/vtube-studio-plugin-mcp-server/gemini-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 543 This file is loaded in full into every session.
When invoked 543 The same file — it is already loaded in full.
Security scan A 0 findings. 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 $0.00543 $0.00543
Opus 5 $0.00271 $0.00271
Sonnet 5 $0.00109 $0.00109
Haiku 4.5 $0.00054 $0.00054

Measured 9d ago against content hash 3ecf4c68f41a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

vtube-studio-plugin-mcp-server GEMINI.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 9d 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.

GEMINI.md · 42 lines

What it actually says

API Handling Strategies and Error Handling Table
Tool Name API Handling Strategy Type Validated
Activate Expression Type 1 No
Add Custom Parameter Type 1 No
API Server Discovery Type 1 No
Check Face Found Type 1 No
Control Expression Type 1 No
Control Item Animation Type 1 No
Delete Custom Parameter Type 1 No
Get Art Mesh List Type 1 No
Get Available Models Type 1 No
Get Current Model Type 1 No
Get Current Model Physics Type 1 No
Get Expression States Type 1 No
Get Hotkeys Type 1 No
Get Item List Type 1 No
Get Live2D Parameters Type 1 No
Get Parameter Value Type 1 No
Get Post Processing List Type 1 No
Get Scene Color Overlay Info Type 1 No
Get Tracking Parameters Type 1 No
Get VTS Folders Type 1 No
Get VTS Statistics Type 1 No
Inject Parameter Data Type 1 No
Load Item Into Scene Type 1 No
Load Model Type 1 No
Move Item In Scene Type 1 No
Move Model Type 1 No
NDI Config Type 1 No
Pin Item To Model Type 1 No
Remove Item From Scene Type 1 No
Request API Permissions Type 1 No
Select Art Meshes Type 1 No
Set Current Model Physics Type 1 No
Set Post Processing Effects Type 1 No
Subscribe To Events Type 1 No
Tint Art Meshes Type 1 No
Trigger Hotkey Type 1 No

This table serves as a reference for current and future development, ensuring that each tool's API interaction and error handling approach is aligned with the defined principles.

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. 9d ago First seen · 42 lines · 543 tokens per session scan A 3ecf4c68f41a

Subscribe to this mod's changes

vtube-studio-plugin-mcp-server GEMINI.md is an instructions file published in the GitHub repository hkopenai/vtube-studio-plugin-mcp-server (7 stars, last pushed 1y ago), licensed MIT. It adds 543 tokens to every session, about $0.0027 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.

Related

Other instructions, from other repositories

next.js AGENTS.md

AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.

vercel/next.js · 7,296 tokens

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.

openai/codex · 5,153 tokens

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).

microsoft/vscode · 6,785 tokens

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).

microsoft/vscode · 5,001 tokens

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.

langchain-ai/langchain · 4,469 tokens

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.

deepseek-ai/deepseek-harness · 3,735 tokens