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 commands/codingthefuturewithai/rag-retriever/rag-cli-helpgit clone --depth 1 https://github.com/codingthefuturewithai/rag-retrieverWhat 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 | $0.00000 | $0.02025 |
| Opus 5 | $0.00000 | $0.01012 |
| Sonnet 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 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 — 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.
- 2d 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.
Other commands, from other repositories
checklist
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clarify
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specify
Create or update the feature specification from a natural language feature description.
analyze
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converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.