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/sevenseconds/vibescout/gemini-mdgit clone --depth 1 https://github.com/sevenseconds/vibescoutWhat 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 | $0.01302 | $0.01302 |
| Opus 5 | $0.00651 | $0.00651 |
| Sonnet 5 | $0.00260 | $0.00260 |
| Haiku 4.5 | $0.00130 | $0.00130 |
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 2d 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 — 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
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.
- 2d ago First seen · 145 lines · 1,302 tokens per session scan A 1104f4c3f3ca
vibescout GEMINI.md is an instructions file published in the GitHub repository sevenseconds/vibescout (0 stars, last pushed 7mo ago), licensed MIT. It adds 1,302 tokens to every session, about $0.0065 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.
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