databricks-python-sdk

databricks-python-sdk is a skill for Claude Code from databricks-solutions/ai-dev-kit. It costs 46 tokens per session (4,511 once invoked), scanned A, original, no licence file.

Development guidance for Databricks’ Python SDK, Databricks Connect, command-line interface, and REST API. These are ways to write programs or commands that work with Databricks.

In plain words
What is it for?
Use it when developing with databricks-sdk, databricks-connect, the Databricks CLI, or Databricks APIs.
Why use it?
It helps the coding agent use the right Databricks interfaces and patterns instead of guessing how they work.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Part of the databricks-ai-dev-kit plugin — 6 skills, 1 hook shipped together

Good fit Use it when developing with databricks-sdk, databricks-connect, the Databricks CLI, or Databricks APIs.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/databricks-solutions/ai-dev-kit/databricks-python-sdk
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.

Any agent
npx skills add databricks-solutions/ai-dev-kit --skill databricks-python-sdk
Clone the repo
git clone --depth 1 https://github.com/databricks-solutions/ai-dev-kit

Made for: Claude Code.

Or install databricks-ai-dev-kit, the plugin that ships this one along with the rest of its 6 skills, 1 hook.

Wrote 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.

agentmods badge for databricks-python-sdk

README.md
[![agentmods](https://agentmods.dev/badge/skills/databricks-solutions/ai-dev-kit/databricks-python-sdk/github.svg)](https://agentmods.dev/skills/databricks-solutions/ai-dev-kit/databricks-python-sdk)
Your own site
<a href="https://agentmods.dev/skills/databricks-solutions/ai-dev-kit/databricks-python-sdk"><img src="https://agentmods.dev/badge/skills/databricks-solutions/ai-dev-kit/databricks-python-sdk/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.

agentmods 80×15 button for databricks-python-sdk

Your own site · 80×15
<a href="https://agentmods.dev/skills/databricks-solutions/ai-dev-kit/databricks-python-sdk"><img src="https://agentmods.dev/badge/skills/databricks-solutions/ai-dev-kit/databricks-python-sdk.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,511 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown 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 5.1 $0.00046 $0.04511
Opus 5.5 $0.00018 $0.01804
Sonnet 5.5 $0.00009 $0.00902
Haiku 4.5 $0.00005 $0.00451

Measured 1mo ago against content hash c1a77da00650, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

databricks-python-sdk 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 1mo ago.

The scan reads SKILL.md. This mod also ships 5 executable files (examples/1-authentication.py, examples/2-clusters-and-jobs.py, examples/3-sql-and-warehouses.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/databricks-python-sdk/SKILL.md · 626 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 1mo ago First seen · 626 lines · 46 tokens per session scan A c1a77da00650

Subscribe to this mod's changes

databricks-python-sdk is a skill published in the GitHub repository databricks-solutions/ai-dev-kit (1,961 stars, last pushed 2mo ago), with no licence file. It adds 46 tokens to every session and 4,511 once invoked, about $0.0002 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.

Related

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