databricks-core

databricks-core is a skill for Codex from Kilo-Org/kilo-marketplace. It costs 83 tokens per session (1,543 once invoked), scanned A, original, Apache-2.0.

A starting guide for Databricks work, covering the command-line tool, sign-in profiles, data exploration, project bundles, and Genie natural-language questions. Databricks is a cloud platform for data and machine-learning projects.

In plain words
What is it for?
Use it to authenticate, choose a workspace profile, inspect catalogs and tables, manage bundles, and route tasks to the right Databricks guide.
Why use it?
It gives you the basic setup and navigation needed before using more specialised Databricks tools.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to authenticate, choose a workspace profile, inspect catalogs and tables, manage bundles, and route tasks to the right Databricks guide.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/kilo-org/kilo-marketplace/databricks-core
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 Kilo-Org/kilo-marketplace --skill databricks-core
Clone the repo
git clone --depth 1 https://github.com/Kilo-Org/kilo-marketplace

Made for: 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-core

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/kilo-org/kilo-marketplace/databricks-core"><img src="https://agentmods.dev/badge/skills/kilo-org/kilo-marketplace/databricks-core.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 83 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,543 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00083 $0.01543
Opus 5 $0.00042 $0.00772
Sonnet 5 $0.00017 $0.00309
Haiku 4.5 $0.00008 $0.00154

Measured 8d ago against content hash 271a26495419, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

databricks-core 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-core/SKILL.md · 158 lines

How it starts

The opening of the file, as written. The whole thing — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Databricks

Core skill for Databricks CLI, authentication, and data exploration.

Product Skills

For specific products, use dedicated skills:

  • databricks-jobs - Lakeflow Jobs development and deployment
  • databricks-pipelines - Lakeflow Spark Declarative Pipelines (batch and streaming data pipelines)
  • databricks-apps - Full-stack TypeScript app development and deployment
  • databricks-lakebase - Lakebase Postgres Autoscaling project management
  • databricks-model-serving - Model Serving endpoint management and inference

Prerequisites

  1. CLI installed: Run databricks --version to check.

    • If the CLI is missing or outdated (< v0.292.0): STOP. Do not proceed or work around a missing CLI.
    • Read the CLI Installation reference file and follow the instructions to guide the user through installation.
    • Note: In sandboxed or containerized environments, install commands write outside the workspace and may be blocked. Present the install command to the user and ask them to run it in their own terminal.
    • Exception: If CLI installation is blocked (sandboxed containers, restricted environments), ask the user whether to fall back to direct REST API calls using DATABRICKS_HOST and DATABRICKS_TOKEN environment variables if present in the shell. See the Databricks REST API docs.
  2. Authenticated: databricks auth profiles

Profile Selection - CRITICAL

NEVER auto-select a profile.

  1. List profiles: databricks auth profiles
  2. Present ALL profiles to user with workspace URLs
  3. Let user choose (even if only one exists)
  4. Offer to create new profile if needed

Agent Shell Behavior

Each Bash command runs in a separate shell session.

# WORKS: --profile flag
databricks apps list --profile my-workspace

# WORKS: chained with &&
export DATABRICKS_CONFIG_PROFILE=my-workspace && databricks apps list

# DOES NOT WORK: separate commands
export DATABRICKS_CONFIG_PROFILE=my-workspace
databricks apps list  # profile not set!

Read the full file on GitHub · 158 lines

Files

What ships with it

8 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. 8d ago First seen · 158 lines · 83 tokens per session scan A 271a26495419

Subscribe to this mod's changes

databricks-core is a skill published in the GitHub repository Kilo-Org/kilo-marketplace (175 stars, last pushed 22d ago), licensed Apache-2.0. It adds 83 tokens to every session and 1,543 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 2026-09-03.

Related

Other skills, from other repositories

agent-platform-rag-engine-management

Manage and query Agent Platform RAG Engine Corpora and retrieve grounded contexts using the Google GenAI SDK. Use when listing RAG corpora or files, inspecting a corpus, retrieving contexts, or generating content grounded in a RAG corpus. Do not use for standard database queries (use SQL/Spanner skills), Google…

google/skills · 85 tokens

agent-platform-model-registry

Agent Platform Model Registry Management. Use when you need to upload, list, describe, update, or delete machine learning models (and their versions) in the Agent Platform Model Registry. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform models.

google/skills · 60 tokens

foundry-config-setup

Resolve missing setup caused by a hardcoded Foundry project endpoint or model in a sample. Use when a sample fails because it uses a placeholder/hardcoded projectendpoint (for example "https://your-project.services.ai.azure.com") or a hardcoded model instead of reading them from the environment.

microsoft/agent-framework · 65 tokens

google-cloud-solution-agentic-analytics-spark-knowledge-catalog

Discovers requirements and generates guidance to design and deploy a governed, secure agentic-analytics solution for data that's distributed across Google Cloud, other cloud providers, or on-premises. Data that's outside Google Cloud (such as data from Databricks, Snowflake, Salesforce, SAP, or Oracle systems) is…

google/skills · 138 tokens

training-check

Interactively monitor training metrics from the current Codex session, periodically checking WandB or fallback logs for NaN, divergence, plateaus, and broken runs.

wanshuiyin/Auto-claude-code-research-in-sleep · 35 tokens

nemo-automodel-launcher-config

Configure NeMo AutoModel job launches for interactive runs, Slurm clusters, and SkyPilot cloud execution.

NVIDIA/skills · 30 tokens