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vibe-eyes: Instructions file for Claude Code

CLAUDE.md

vibe-eyes CLAUDE.md is an instructions file for Claude Code from monteslu/vibe-eyes. It costs 1,489 tokens per session, scanned A, original, MIT.

A project guide for Vibe-Eyes, an MCP server that gives coding agents visual and debugging information from browser games and applications. It captures canvas output, logs, and errors, then makes that context available to the agent.

In plain words
What is it for?
It helps inspect canvas visuals, browser logs, and exceptions while developing or debugging games and other browser applications.
Why use it?
It helps an agent understand what a browser application actually displays and why it fails, instead of relying only on source code or text logs.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md.

This is monteslu/vibe-eyes's own configuration. It tells Claude Code how to work on vibe-eyes 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 vibe-eyes configures →

not rated 54repo 7mo ago A scan 1,489 tokens original MIT
View source ↗ monteslu/vibe-eyes
Reuse

Borrowing it

Nothing to install: this file belongs to monteslu/vibe-eyes. 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/monteslu/vibe-eyes/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/monteslu/vibe-eyes

Made for: Claude Code.

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Per session 1,489 This file is loaded in full into every session.
When invoked 1,489 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 $0.01489 $0.01489
Opus 5 $0.00745 $0.00745
Sonnet 5 $0.00298 $0.00298
Haiku 4.5 $0.00149 $0.00149

Measured 10d ago against content hash e24cbb723322, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

vibe-eyes CLAUDE.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 10d 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.

CLAUDE.md · 143 lines

How it starts

The opening of the file, as written. The whole thing — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md - Vibe-Eyes Project Guide

Vibe-Eyes focuses on providing visual context and debug information to LLMs during vibe coding sessions.

Vibe-Eyes uses a client-server architecture where a lightweight browser client captures canvas content and debug information, sends it to a Node.js server via WebSockets, which then vectorizes the images into compact SVG representations and makes them available to LLMs through the Model Context Protocol (MCP).

Project Overview

Vibe-Eyes is an MCP server that gives LLMs (like yourself) an approximation of canvas output and debug information from browser games and applications. It enables more effective "vibe coding" sessions by letting you see what's happening in the application.

flowchart LR
    A["Game/App"] -->|"Canvas<br/>Logs<br/>Exceptions"| B["Client.js"]
    B -->|"WebSocket"| C["MCP Server"]
    C -->|"getGameDebug()"| D["Claude/LLM"]
    D -->|"Debugging Help"| A
    
    classDef default color:#000,font-weight:bold
    classDef edgeLabel color:#333,font-size:12px
    
    style A fill:#c0e0ff,stroke:#000,stroke-width:2px
    style B fill:#ffe0a0,stroke:#000,stroke-width:2px
    style C fill:#b0e0a0,stroke:#000,stroke-width:2px
    style D fill:#ffb0d0,stroke:#000,stroke-width:2px

Project Structure

  • vectorizer.js - Core SVG vectorization library
  • mcp.js - MCP server that receives canvas captures and exposes them to LLMs
  • Browser client - Available at vibe-eyes-client repository for capturing canvas and console output
  • cli.js - Standalone CLI tool for vectorization (not central to main functionality)

Key Commands

  • Install: npm install
  • Start MCP server: npm run server (or node mcp.js)
  • Use vectorizer CLI: vibe-eyes-vectorize input.png output.svg

MCP Tool Usage

Vibe-Eyes provides a single, powerful MCP tool called getGameDebug that gives you visual and debug insight into what's happening in the user's browser:

Read the full file on GitHub · 143 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. 10d ago First seen · 143 lines · 1,489 tokens per session scan A e24cbb723322

Subscribe to this mod's changes

vibe-eyes CLAUDE.md is an instructions file published in the GitHub repository monteslu/vibe-eyes (54 stars, last pushed 7mo ago), licensed MIT. It adds 1,489 tokens to every session, about $0.0074 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.

Browser automationDebuggingLLMaicanvasclaudegame-development
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