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/itmediatech/rag-cli/claude-mdgit clone --depth 1 https://github.com/ItMeDiaTech/rag-cliWhat 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 | $0.04645 | $0.04645 |
| Opus 5 | $0.02322 | $0.02322 |
| Sonnet 5 | $0.00929 | $0.00929 |
| Haiku 4.5 | $0.00464 | $0.00464 |
Grade A, and why
rag-cli 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 — 596 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.
CRITICAL: No Emojis Policy
NEVER use emojis in ANY documentation, plans, guides, or written output for this project UNLESS explicitly given permission. This includes:
- README files
- Documentation files
- Code comments and docstrings
- Plan descriptions
- Commit messages
- All text-based output
Focus on clear, professional documentation without decorative elements.
Project Overview
RAG-CLI v2.0 is a local Retrieval-Augmented Generation system designed as a Claude Code plugin. It processes documents locally, generates embeddings, stores vectors in ChromaDB, and uses claude-haiku-4-5-20251001 for response generation.
This version features a complete restructure with clean separation between core library and plugin code, marketplace-ready lifecycle management, and improved maintainability.
Project Structure (v2.0)
RAG-CLI/
src/
rag_cli/ # CORE LIBRARY (plugin-agnostic)
__init__.py # Version: 2.0.0
core/ # Core RAG functionality
constants.py # Centralized configuration
document_processor.py # Document chunking
embeddings.py # Embedding generation
vector_store.py # ChromaDB operations
retrieval_pipeline.py # Hybrid search + reranking
claude_integration.py # Claude API integration
[30+ other core modules]
agents/ # Multi-agent framework
base_agent.py # Agent base class
query_decomposer.py # Query decomposition
result_synthesizer.py # Result synthesis
maf/ # Multi-Agent Framework
integrations/ # External integrations
arxiv_connector.py # ArXiv integration
tavily_connector.py # Tavily search
maf_connector.py # MAF integration
cli/ # Command-line tools
index.py # rag-index command
retrieve.py # rag-retrieve command
utils/ # Shared utilities
rag_cli_plugin/ # PLUGIN CODE (Claude Code specific)
__init__.py # Version: 2.0.0
lifecycle/ # Lifecycle management
installer.py # Marketplace installation
updater.py # Update handling
commands/ # Slash commands
update_rag.py # /update-rag command
rag_project_indexer.py # /rag-project command
[other commands]
hooks/ # Event hooks
user-prompt-submit.py # Main RAG orchestration
document-indexing.py # Auto-indexing
session-start.py # Session initialization
[other hooks]
mcp/ # MCP server
unified_server.py # Single unified MCP server
services/ # Plugin services
service_manager.py # Service registry
dashboard.py # Web dashboard
tcp_server.py # Monitoring server
[monitoring modules]
skills/ # Agent skills
config/ # Configuration
defaults/ # Default configurations
mcp.json # MCP server config
rag_settings.json # RAG settings
services.json # Service settings
[other defaults]
templates/ # User-editable templates
.env.template # Environment template
citation_config.json.template
schemas/ # JSON schemas
settings.schema.json # Settings validation
scripts/ # Scripts
install/ # Installation scripts
update/ # Update scripts
utils/ # Utility scripts
update_imports_v2.py # Import updater
update_plugin_imports.py # Plugin import updater
.claude-plugin/ # Plugin metadata
plugin.json # Plugin configuration (v2.0.0)
hooks.json # Hook configurations
lifecycle.json # Lifecycle hooks (NEW)
commands/ # Command documentation
data/ # Runtime data
vectors/ # ChromaDB indexes
cache/ # Query cache
documents/ # Source documents
logs/ # Application logs
tests/ # Test suite
docs/ # Documentation
pyproject.toml # Package configuration (v2.0.0)
requirements.txt # Python dependencies
README.md # Project README
LICENSE # MIT License
CHANGELOG.md # Version history
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 · 596 lines · 4,645 tokens per session scan A 4c1862a2eba7
rag-cli CLAUDE.md is an instructions file published in the GitHub repository ItMeDiaTech/rag-cli (51 stars, last pushed 5mo ago), licensed MIT. It adds 4,645 tokens to every session, about $0.0232 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.
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