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 skills add readysettech/rdst --skill rdst-python-toolkitgit clone --depth 1 https://github.com/readysettech/rdstWrote 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/skills/readysettech/rdst/rdst-python-toolkit)<a href="https://agentmods.dev/skills/readysettech/rdst/rdst-python-toolkit"><img src="https://agentmods.dev/badge/skills/readysettech/rdst/rdst-python-toolkit/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/skills/readysettech/rdst/rdst-python-toolkit"><img src="https://agentmods.dev/badge/skills/readysettech/rdst/rdst-python-toolkit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00087 | $0.02384 |
| Opus 5.5 | $0.00035 | $0.00954 |
| Sonnet 5.5 | $0.00017 | $0.00477 |
| Haiku 4.5 | $0.00009 | $0.00238 |
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 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 — 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 |
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 · 368 lines · 87 tokens per session scan A 982bcf151d58
rdst-python-toolkit is a skill published in the GitHub repository readysettech/rdst (20 stars, last pushed 14d ago), licensed Apache-2.0. It adds 87 tokens to every session and 2,384 once invoked, about $0.0003 per session on Opus 5.5. 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.
Other skills, from other repositories
create-pr
Creates a GitHub PR with a Linear-ticket-prefixed title and a decision-led, narrative description for Prisma 8. Use when the user wants to create a pull request, open a PR, or submit changes for review.
schema-exploration
Lists tables, describes columns and data types, identifies foreign key relationships, and maps entity relationships in a database. Use when the user asks about database schema, table structure, column types, what tables exist, ERD, foreign keys, or how entities relate.
atlas-mssql
SQL Server specifics for Atlas (also Azure SQL and MSSQL): login, dev database and URL scope (mode=schema vs mode=database, the database query parameter), compatibility level and collation, system-generated constraint names, clustered index defaults and datetime2 precision in HCL, GO batches and the delimiter…
ha-data-stores
Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…
nornicdb-cypher-queries
Pick fast, predictable Cypher query shapes in NornicDB — point lookups, batch retrieval, pagination, search, traversal, batched UNWIND/MERGE writes, cleanup, multi-tenant isolation. Use when writing or reviewing Cypher whose latency or throughput matters; maps user intent to the executor's hot-path query templates.
volcengine-rds-postgresql
A tool for operating PostgreSQL databases hosted by Volcano Engine's managed database service. PostgreSQL is a relational database used to store structured application data.