Borrowing it
Nothing to install: this file belongs to codingthefuturewithai/rag-retriever. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/codingthefuturewithai/rag-retriever/main/.claude/commands/rag-cli-help.mdgit clone --depth 1 https://github.com/codingthefuturewithai/rag-retrieverWrote 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.
[](https://agentmods.dev/commands/codingthefuturewithai/rag-retriever/rag-cli-help)<a href="https://agentmods.dev/commands/codingthefuturewithai/rag-retriever/rag-cli-help"><img src="https://agentmods.dev/badge/commands/codingthefuturewithai/rag-retriever/rag-cli-help/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.
<a href="https://agentmods.dev/commands/codingthefuturewithai/rag-retriever/rag-cli-help"><img src="https://agentmods.dev/badge/commands/codingthefuturewithai/rag-retriever/rag-cli-help.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.02025 |
| Opus 5.5 | $0.00000 | $0.00810 |
| Sonnet 5.5 | $0.00000 | $0.00405 |
| Haiku 4.5 | $0.00000 | $0.00202 |
Grade A, and why
rag-cli-help 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.
How it starts
The opening of the file, as written. The whole thing — 269 lines — stays where its author put it; the contents beside it link to each section on GitHub.
RAG Retriever CLI Help
Interactive CLI command builder and context-sensitive help for RAG Retriever operations.
Prerequisites
This command provides CLI guidance and command construction. No MCP server required, but CLI access needed for execution.
Arguments
Use $ARGUMENTS to specify help topic or operation:
- "commands" - Show all available CLI commands
- "search" - Help with search operations
- "ingest" - Help with content ingestion
- "admin" - Help with administrative operations
- "config" - Help with configuration and setup
- "examples" - Show common usage examples
- "COMMAND_NAME" - Help with specific command
Examples:
- "commands" - List all CLI commands
- "search" - Search help and examples
- "ingest" - Content ingestion guidance
- "admin" - Administrative operations
- "--fetch-url" - Help with specific command
Implementation Approach
This command uses direct implementation to provide interactive CLI guidance and command construction.
Your Task
1. Parse Arguments and Identify Help Topic
- Extract help topic from $ARGUMENTS
- Determine user's specific needs
- Provide comprehensive guidance for requested topic
2. Command Reference and Help
Complete Command List
When user requests "commands", provide:
# Core System Commands
rag-retriever --version # Show version
rag-retriever --init # Initialize configuration
rag-retriever --ui [--port PORT] # Launch web interface
# Collection Management
rag-retriever --list-collections # List all collections
rag-retriever --clean [--collection NAME] # Delete collections/store
# Content Ingestion
rag-retriever --fetch-url URL [OPTIONS] # Crawl websites
rag-retriever --ingest-file PATH # Process single file
rag-retriever --ingest-directory PATH # Process directory
rag-retriever --ingest-image PATH # Analyze single image
rag-retriever --ingest-image-directory PATH # Process image directory
rag-retriever --github-repo URL [OPTIONS] # Index GitHub repository
rag-retriever --confluence [OPTIONS] # Load Confluence content
# Search Operations
rag-retriever --query "TEXT" [OPTIONS] # Search content
rag-retriever --web-search "TEXT" [OPTIONS] # Search web
# Global Options
--verbose # Enable verbose output
--collection NAME # Specify collection
--json # JSON output format
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.
- 2mo ago First seen · 269 lines · 0 tokens per session scan A 63f934c15f01
rag-cli-help is a command published in the GitHub repository codingthefuturewithai/rag-retriever (27 stars, last pushed 1y ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,025 tokens. 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.
rag-cli-help compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| rag-cli-helpcodingthefuturewithai/rag-retriever | Command | 27 | 1y ago | MIT | A | 0 | Claude Code |
| queryingupstash/redis-js | Command | 983 | yesterday | MIT | A | 0 | Claude Code |
| ingestGalbaz1/video-research-mcp | Command | 23 | 6d ago | MIT | A | 10 | Claude Code |
| agentget-convex/convex-agent-plugins | Command | 117 | 24d ago | MIT | A | 21 | Claude Code, Cursor |
| proofragunshDee/proofrag | Command | 2 | 6d ago | MIT | A | 22 | Claude Code |
| inference.embedstratalab/strata-core | Command | 5 | 1mo ago | Apache-2.0 | A | 0 | Claude Code |
| vector.batch_existsstratalab/strata-core | Command | 5 | 1mo ago | Apache-2.0 | A | 0 | Claude Code |