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databricks skillA

databricks is agent-read markdown (skill) from fmind/dot: Operate Databricks bundles, jobs, pipelines, and Unity Catalog with databricks..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# Databricks CLI

Use `databricks` for Databricks workspace management, 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.

   ```bash
   databricks auth profiles
   databricks current-user me --profile <profile>
   ```

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

   ```bash
   databricks auth login --host <workspace-url>
   ```

1. **Validate and deploy Asset Bundles (DABs)**: validate bundle structure before deploying to an isolated target.

   ```bash
   databricks bundle validate --target dev
   databricks bundle deploy --target dev
   databricks bundle run <job-or-pipeline-key> --target dev
   ```

1. **Inspect Unity Catalog assets**: list catalogs, schemas, and tables with bounded read calls.

   ```bash
   databricks catalogs list
…

Read the whole file at its exact version.

How to install

Latest version
mdr add fmind/dot/databricks@git:20260919.4491844
Exact content
mdr add fmind/dot/databricks@sha256:2ec994f380b64ff9

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

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Versions

versioncommittedcommitsizeaudit
git:20260919.4491844 latest2026-09-19 4491844 3,330 BA view · diff
git:20260918.abd4a742026-09-18 abd4a74 3,099 BA view · diff
git:20260916.bf6037d2026-09-16 bf6037d 3,221 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (3330 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

fmind/dot · 9 stars · license MIT · pushed 2026-09-24 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_qfkw4fyc53hzx6pz
GET https://markdownregistry.com/api/v1/resolve?ref=fmind/dot/databricks
GET https://markdownregistry.com/api/v1/blob/2ec994f380b64ff98253700fa34829b395746aef9bfbb0a4e0f3392518911651

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