rdst-python-toolkit

A Python command-line and web toolkit for diagnosing databases, improving SQL queries, and turning plain-language questions into SQL.

In plain words
What is it for?
Use it to initialize and configure database targets, analyze SQL performance, inspect activity, build FastAPI endpoints or UI components, and modify its prompts or services.
Why use it?
It brings database analysis, query optimization, and related command-line, API, and service code into one project workflow.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/readysettech/rdst/rdst-python-toolkit
Any agent
npx skills add readysettech/rdst --skill rdst-python-toolkit
Clone the repo
git clone --depth 1 https://github.com/readysettech/rdst

Made for: Claude Code, Codex.

Per session 87 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,384 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00087 $0.02384
Opus 5 $0.00044 $0.01192
Sonnet 5 $0.00017 $0.00477
Haiku 4.5 $0.00009 $0.00238

Measured 2d ago against content hash 982bcf151d58, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

rdst-python-toolkit 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.

.claude/skills/rdst-python-toolkit/SKILL.md · 368 lines

How it starts

The opening of the file, as written. The whole thing — 368 lines — stays where its author put it; the contents beside it link to each section on GitHub.

RDST - Readyset Data and SQL Toolkit

Python CLI & API for database diagnostics, query optimization, and NL-to-SQL.

Stack: Python 3.11+, Rich (terminal UI), FastAPI (web API), Typer (CLI)

Project Structure

rdst/
├── rdst.py              # CLI entry point (argparse)
├── mcp_server.py        # MCP server for Claude Code integration
├── lib/
│   ├── cli/             # Command implementations
│   ├── api/             # FastAPI routes
│   ├── services/        # Event-driven async services
│   ├── functions/       # Core business logic (shared)
│   ├── ui/              # Rich terminal components
│   ├── llm_manager/     # LLM provider abstraction
│   ├── engines/ask3/    # NL-to-SQL engine
│   └── prompts/         # LLM prompt templates
└── tests/               # Test cases

Running RDST

python3 rdst.py <command>    # Direct run
uv run rdst.py <command>     # With uv
rdst <command>               # After pip install -e .

Key Commands

Command Description
rdst init First-time setup wizard
rdst configure Manage database targets
rdst analyze -q "SQL" Analyze query performance
rdst top --target X Monitor slow queries
rdst ask "question" Natural language to SQL
rdst schema show View semantic layer
rdst query list View saved queries

CRITICAL: Rich Component Imports

NEVER import Rich directly. Always use lib.ui:

# WRONG - direct Rich imports
from rich.console import Group
from rich.text import Text
from rich.tree import Tree
from rich.panel import Panel

# CORRECT - import from lib.ui
from lib.ui import Group, Text, Tree, Spinner, Live
from lib.ui import StyledPanel, StyledTable, MessagePanel
from lib.ui import get_console, StyleTokens, Icons

If a Rich component is needed but not exported, add it to lib/ui/components.py and lib/ui/__init__.py.


UI Design System (lib/ui/)

Atomic Design Hierarchy

Layer Purpose Examples
Atoms Base building blocks StyledPanel, StyledTable
Molecules Composable units MessagePanel, DataTable, StatusLine
Organisms Domain-specific QueryPanel, TopQueryTable, AnalysisHeader

Read the full file on GitHub · 368 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. 2d ago First seen · 368 lines · 87 tokens per session scan A 982bcf151d58

Subscribe to this mod's changes

rdst-python-toolkit is a skill published in the GitHub repository readysettech/rdst (11 stars, last pushed 21d ago), licensed MIT. It adds 87 tokens to every session and 2,384 once invoked, about $0.0004 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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