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AI-RAG-Assistant-Chatbot: Instructions file for Claude Code

CLAUDE.md

AI-RAG-Assistant-Chatbot CLAUDE.md is an instructions file for Claude Code from hoangsonww/AI-RAG-Assistant-Chatbot. It costs 750 tokens per session, scanned A, original, MIT.

Repository instructions for Lumina, an application with a React web interface, an Express API, databases, AI retrieval, and several supporting services.

In plain words
What is it for?
Use them when modifying the Lumina frontend, server, AI pipeline, MCP server, infrastructure, API description, or deployment files.
Why use it?
They help an agent make focused changes while preserving the project's existing structure, deployment setup, and grounded answers with citations.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: reads .claude/ paths; mentions subagents.

This is hoangsonww/AI-RAG-Assistant-Chatbot's own configuration. It tells Claude Code how to work on AI-RAG-Assistant-Chatbot 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 AI-RAG-Assistant-Chatbot configures →

not rated 47repo 2d ago A scan 750 tokens original MIT
View source ↗ hoangsonww/AI-RAG-Assistant-Chatbot lumina-david.vercel.app
Reuse

Borrowing it

Nothing to install: this file belongs to hoangsonww/AI-RAG-Assistant-Chatbot. 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/hoangsonww/AI-RAG-Assistant-Chatbot/master/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/hoangsonww/AI-RAG-Assistant-Chatbot

Made for: Claude Code.

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.

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README.md
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Your own site
<a href="https://agentmods.dev/instructions/hoangsonww/ai-rag-assistant-chatbot/claude-md"><img src="https://agentmods.dev/badge/instructions/hoangsonww/ai-rag-assistant-chatbot/claude-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 AI-RAG-Assistant-Chatbot CLAUDE.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/hoangsonww/ai-rag-assistant-chatbot/claude-md"><img src="https://agentmods.dev/badge/instructions/hoangsonww/ai-rag-assistant-chatbot/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 750 This file is loaded in full into every session.
When invoked 750 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 $0.00750 $0.00750
Opus 5 $0.00375 $0.00375
Sonnet 5 $0.00150 $0.00150
Haiku 4.5 $0.00075 $0.00075

Measured 10d ago against content hash 33de7d849cb9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

AI-RAG-Assistant-Chatbot 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 · 52 lines

How it starts

The opening of the file, as written. The whole thing — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Lumina Repository Guide

Scope

  • This repository contains four major surfaces:
    • client/: React 18 + Vite + MUI + Framer Motion frontend.
    • server/: Express + TypeScript API, chat orchestration, MongoDB, Gemini, Pinecone, knowledge CLI.
    • agentic_ai/: Python multi-agent pipeline with MCP client integration.
    • mcp_server/: Standalone MCP server with 32 tools, 7 resources, 6 prompts.
    • terraform/, aws/, docker-compose.yml, DEPLOYMENT.md: infrastructure and deployment assets.

Working rules

  • Prefer the smallest-area change that solves the task.
  • Do not edit generated artifacts unless the task explicitly requires rebuilding them.
    • Generated or compiled directories include client/build/, server/dist/, and node_modules/.
  • Treat unrelated dirty files as user-owned. Do not revert or reorganize them.
  • Preserve Lumina's existing product intent:
    • The frontend should remain polished, animated, and branded rather than generic.
    • Knowledge management should remain CLI-driven unless the user explicitly asks for a product change.
    • Grounded responses and inline citations must keep working when retrieval behavior changes.
  • Update openapi.yaml when API request or response contracts change.
  • MCP tool names and input schemas are external contracts — rename carefully.
  • The agentic_ai/mcp_client/ imports MCP server handlers directly in "direct" mode — keep handler signatures stable.
  • Avoid touching .env files unless the user explicitly asks for environment changes.

Validation defaults

  • Frontend changes: run npm run build in client/.
  • Backend changes: run npm run build in server/.
  • Python agentic_ai/ changes: prefer python -m compileall agentic_ai; only run runtime commands when dependencies and secrets are available.
  • MCP server changes: prefer python -m compileall mcp_server; use python -m mcp_server --log-level DEBUG for startup smoke testing.
  • Infra changes: use the narrowest relevant validation such as terraform validate, terraform fmt -check, or docker compose config.
  • Do not treat root, client/, or server/ npm test scripts as authoritative. They are placeholder success commands in package scripts.

Read the full file on GitHub · 52 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 · 52 lines · 750 tokens per session scan A 33de7d849cb9

Subscribe to this mod's changes

AI-RAG-Assistant-Chatbot CLAUDE.md is an instructions file published in the GitHub repository hoangsonww/AI-RAG-Assistant-Chatbot (47 stars, last pushed 2d ago), licensed MIT. It adds 750 tokens to every session, about $0.0037 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.

apiartificial-intelligencechat-applicationchatbotdockerexpress
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