vibescout: Instructions file for Gemini CLI

GEMINI.md

vibescout GEMINI.md is an instructions file for Gemini CLI from sevenseconds/vibescout. It costs 1,302 tokens per session, scanned A, original, MIT.

Project instructions for VibeScout, a local code-intelligence platform and MCP server. VibeScout indexes code so it can support semantic search, architecture views, and chat that retrieves relevant code context.

In plain words
What is it for?
Use them when building, running, or changing VibeScout, including its code indexing, search, MCP server, and web application.
Why use it?
They give an agent the project’s technologies, structure, setup requirements, and supported AI connections in one place.

Instructions file for Gemini CLI

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

This is sevenseconds/vibescout's own configuration. It tells Gemini CLI how to work on vibescout 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 vibescout configures →

Reuse

Borrowing it

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

Made for: Gemini CLI.

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Per session 1,302 This file is loaded in full into every session.
When invoked 1,302 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 $0.01302 $0.01302
Opus 5.5 $0.00521 $0.00521
Sonnet 5.5 $0.00260 $0.00260
Haiku 4.5 $0.00130 $0.00130

Measured 2mo ago against content hash 1104f4c3f3ca, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

vibescout 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 2mo 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 · 145 lines

How it starts

The opening of the file, as written. The whole thing — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Project Overview: VibeScout

VibeScout is a high-performance Local Code Intelligence platform and Model Context Protocol (MCP) server. It enables semantic code search, architectural visualization, and RAG-powered chat by transforming local codebases into searchable knowledge bases.

Core Technologies

  • Backend: Hono (High-performance web framework)
  • Database: LanceDB (Local vector database) & Cloudflare Vectorize
  • Code Analysis: tree-sitter for multi-language parsing and dependency extraction
  • Frontend: React (Vite, Tailwind CSS, Material Design)
  • AI Integration: Support for Local (Transformers.js), Ollama, OpenAI, Gemini, Bedrock, and Z.AI
  • Communication: Model Context Protocol (MCP) and Server-Sent Events (SSE)

Architecture

  • bin/: CLI entry point (vibescout.js).
  • src/core.js: Orchestrates indexing, semantic search, and RAG logic.
  • src/server.js: Hosts the Hono API and the MCP server implementation.
  • src/db.ts: Data access layer for LanceDB and metadata (hashes, dependencies, chat history).
  • src/extractors/: Language-specific strategies (JS/TS, Python, Go, etc.) for granular code block extraction.
  • src/providers/: Extensible adapters for different embedding and LLM providers.
  • ui/: React-based dashboard for visual search and configuration.

Building and Running

Prerequisites

  • Node.js (Latest LTS recommended)
  • npm

Setup

# Install dependencies
npm install

# Build the UI
npm run build:ui

Post-Implementation Requirement

CRITICAL: After completing any code modification or feature implementation, you must execute npm run build:ui to ensure the production dashboard remains synchronized with the backend changes.

Execution

# Start the server / CLI
npm start

# Run in UI mode
node bin/vibescout.js ui

# Run tests
npm test

Read the full file on GitHub · 145 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. 2mo ago First seen · 145 lines · 1,302 tokens per session scan A 1104f4c3f3ca

Subscribe to this mod's changes

vibescout GEMINI.md is an instructions file published in the GitHub repository sevenseconds/vibescout (0 stars, last pushed 9mo ago), licensed MIT. It adds 1,302 tokens to every session, about $0.0052 per session on Opus 5.5. 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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