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/bigwolfeman/document-mcp/claude-mdgit clone --depth 1 https://github.com/bigwolfeman/Document-MCPWhat 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 | $0.03533 | $0.03533 |
| Opus 5 | $0.01767 | $0.01767 |
| Sonnet 5 | $0.00707 | $0.00707 |
| Haiku 4.5 | $0.00353 | $0.00353 |
Grade A, and why
Document-MCP 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 yesterday.
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 — 348 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project Overview
Vlt-Bridge (formerly Document-MCP) is a monorepo containing:
- Document-MCP: Multi-tenant Obsidian-like documentation viewer with AI-first workflow
- vlt-cli: AI memory and context retrieval CLI tool with CodeRAG
AI agents write/update documentation via MCP (Model Context Protocol), while humans read and edit through a web UI. The system provides per-user vaults with Markdown notes, full-text search (SQLite FTS5), wikilink resolution, tag indexing, and backlink tracking.
Vlt Oracle: Multi-source intelligent context retrieval for AI coding agents, combining:
- vlt threads: Development history and memory
- Markdown vault: Documentation (Document-MCP)
- CodeRAG: Code understanding with hybrid retrieval (vector + BM25 + graph)
Architecture: Python 3.11+ backend (FastAPI + FastMCP) + React 19 frontend (Vite 7 + shadcn/ui) + vlt-cli (Python CLI)
Monorepo Structure
Vlt-Bridge/
├── backend/ # Document-MCP FastAPI backend
├── frontend/ # Document-MCP React frontend
├── packages/
│ └── vlt-cli/ # vlt CLI tool (memory, threads, oracle, coderag)
├── specs/ # Feature specifications (SpecKit)
└── data/ # Local data (vaults, indexes)
Key Concepts:
- Vault: Per-user filesystem directory containing .md files
- MCP Server: Exposes tools for AI agents (STDIO for local, HTTP for remote with JWT)
- Indexer: SQLite FTS5 for full-text search + separate tables for tags/links/metadata
- Wikilinks:
[[Note Name]]resolved via case-insensitive slug matching (prefers same folder, then lexicographic) - Optimistic Concurrency: Version counter in SQLite (not frontmatter); UI sends
if_version, MCP uses last-write-wins - RAG: LlamaIndex with Gemini embeddings for semantic search over vault content
- TTS: ElevenLabs integration for text-to-speech note reading
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.
- yesterday First seen · 348 lines · 3,533 tokens per session scan A 263b857b60a4
Document-MCP CLAUDE.md is an instructions file published in the GitHub repository bigwolfeman/Document-MCP (2 stars, last pushed 8mo ago), licensed MIT. It adds 3,533 tokens to every session, about $0.0177 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.
Other instructions, from other repositories
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
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).
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.
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.
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).
next.js AGENTS.md
Instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.