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databricks

databricks is a skill for Claude Code, Codex from fmind/dot. It costs 18 tokens per session (1,225 once invoked), scanned A, original, MIT.

Guidance for using the Databricks command-line tool to manage workspaces, bundled deployments, jobs, data pipelines, compute clusters, and Unity Catalog.

In plain words
What is it for?
Use it to authenticate, validate and deploy Asset Bundles, run jobs and pipelines, inspect catalogs and tables, and manage Databricks resources.
Why use it?
It helps confirm the target workspace and identity before actions that can change resources or incur cloud costs. It also encourages validating deployments and limiting data inspection.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Claude Code.

not rated 11repo changed 8d ago A scan 18 tokens original MIT

Good fit Use it to authenticate, validate and deploy Asset Bundles, run jobs and pipelines, inspect catalogs and tables, and manage Databricks resources.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/fmind/dot/databricks
View source ↗ fmind/dot fmind.dev
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 fmind/dot --skill databricks
Clone the repo
git clone --depth 1 https://github.com/fmind/dot

Made for: Claude Code, Codex.

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/fmind/dot/databricks/github.svg)](https://agentmods.dev/skills/fmind/dot/databricks)
Your own site
<a href="https://agentmods.dev/skills/fmind/dot/databricks"><img src="https://agentmods.dev/badge/skills/fmind/dot/databricks/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

Your own site · 80×15
<a href="https://agentmods.dev/skills/fmind/dot/databricks"><img src="https://agentmods.dev/badge/skills/fmind/dot/databricks.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,225 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 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 5.1 $0.00018 $0.01225
Opus 5.5 $0.00007 $0.00490
Sonnet 5.5 $0.00004 $0.00245
Haiku 4.5 $0.00002 $0.00122

Measured 8d ago against content hash 20ca4193a737, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

databricks 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 8d 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.

skills/databricks/SKILL.md · 78 lines

How it starts

The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Databricks CLI

Use databricks for Databricks workspace management, Declarative Automation Bundles (formerly Databricks Asset Bundles, DABs), compute clusters, jobs, Lakeflow pipelines, and Unity Catalog data governance.

Resolve the workspace, profile, and bundle target before mutations; deployments and runs can incur costs and need authorization. Pass --profile <profile> consistently.

Workflow

  1. Verify workspace and authentication: list configured profile names without printing credentials and confirm caller identity.

    databricks auth profiles --skip-validate
databricks current-user me --profile <profile>

  2. Authenticate via OAuth: use browser-based OAuth user-to-machine (U2M) login; avoid static personal access tokens.

    databricks auth login --host <workspace-url> --profile <profile>

  3. Validate, plan, and deploy bundles: validate the bundle structure and review its plan before deploying to an isolated target.

    databricks bundle validate --target dev --profile <profile>
databricks bundle plan --target dev --profile <profile>
databricks bundle deploy --target dev --profile <profile>
databricks bundle run <job-or-pipeline-key> --target dev --profile <profile>

  4. Inspect Unity Catalog assets: fetch a known resource directly. For discovery, current catalog, schema, and table list commands accept --limit to cap total results (verified with CLI 1.19.0); scope them to the intended catalog/schema and inspect help when using another version. Omitting a limit can enumerate every visible match.

    databricks catalogs get <catalog> --profile <profile> --output json
databricks schemas get <catalog>.<schema> --profile <profile> --output json
databricks tables get <catalog>.<schema>.<table> --profile <profile> --output json

  5. Inspect compute and job runs: check cluster state and recent job executions before scheduling changes.

    databricks clusters get <cluster-id> --profile <profile> --output json
databricks jobs list-runs --job-id <job-id> --limit 10 --profile <profile>

Read the full file on GitHub · 78 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. 8d ago Changed 20ca4193a737
  2. 10d ago Changed 720282165546
  3. 11d ago Changed · -4 tokens per session f62687b73dea
  4. 13d ago Changed · +3 lines 8886cbf2127e
  5. 22d ago Changed 738138e18e44
  6. 25d ago Changed 2ec994f380b6
  7. 27d ago Changed 88830af00ad5
  8. 29d ago First seen · 75 lines · 22 tokens per session scan A d1f75b3267e7

Subscribe to this mod's changes

databricks is a skill published in the GitHub repository fmind/dot (11 stars, last pushed 2d ago), licensed MIT. It adds 18 tokens to every session and 1,225 once invoked, about $0.0001 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 2026-09-17.

Claude CodeCloudData and AIDevOps and cloudai-agentschezmoidotfilesfish-shellmise
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