agentmods.dev

Speech-To-Text-With-Databricks: Skill for Claude Code

.claude/skills/databricks-app-python/SKILL.md

databricks-app-python is a skill for Claude Code from alessandro9110/Speech-To-Text-With-Databricks. It costs 103 tokens per session (2,568 once invoked), scanned A, original, MIT.

A guide for building Python web applications on Databricks with frameworks such as Dash, Streamlit, Gradio, Flask, FastAPI, or Reflex.

In plain words
What is it for?
Use it to build dashboards, data-science apps, machine-learning demos, or REST APIs connected to Databricks services.
Why use it?
It brings authentication, data connections, resource configuration, and deployment choices into one workflow instead of treating them as separate setup problems.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is alessandro9110/Speech-To-Text-With-Databricks's own configuration. It tells Claude Code how to work on Speech-To-Text-With-Databricks itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Speech-To-Text-With-Databricks configures →

not rated 4repo 8mo ago A scan 103 tokens original MIT
View source ↗ alessandro9110/Speech-To-Text-With-Databricks
Reuse

Borrowing it

Nothing to install: this file belongs to alessandro9110/Speech-To-Text-With-Databricks. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/alessandro9110/Speech-To-Text-With-Databricks/main/.claude/skills/databricks-app-python/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/alessandro9110/Speech-To-Text-With-Databricks

Made for: Claude Code.

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-app-python

README.md
[![agentmods](https://agentmods.dev/badge/skills/alessandro9110/speech-to-text-with-databricks/databricks-app-python/github.svg)](https://agentmods.dev/skills/alessandro9110/speech-to-text-with-databricks/databricks-app-python)
Your own site
<a href="https://agentmods.dev/skills/alessandro9110/speech-to-text-with-databricks/databricks-app-python"><img src="https://agentmods.dev/badge/skills/alessandro9110/speech-to-text-with-databricks/databricks-app-python/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-app-python

Your own site · 80×15
<a href="https://agentmods.dev/skills/alessandro9110/speech-to-text-with-databricks/databricks-app-python"><img src="https://agentmods.dev/badge/skills/alessandro9110/speech-to-text-with-databricks/databricks-app-python.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 103 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,568 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 $0.00103 $0.02568
Opus 5.5 $0.00041 $0.01027
Sonnet 5.5 $0.00021 $0.00514
Haiku 4.5 $0.00010 $0.00257

Measured 1mo ago against content hash af71bd7304b1, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

databricks-app-python 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.

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-app-python/SKILL.md · 209 lines

How it starts

The opening of the file, as written. The whole thing — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Databricks Python Application

Build Python-based Databricks applications. For full examples and recipes, see the Databricks Apps Cookbook.

Critical Rules (always follow)

  • MUST confirm framework choice or use Framework Selection below
  • MUST use SDK Config() for authentication (never hardcode tokens)
  • MUST use app.yaml valueFrom for resources (never hardcode resource IDs)
  • MUST use dash-bootstrap-components for Dash app layout and styling
  • MUST use @st.cache_resource for Streamlit database connections
  • MUST deploy Flask with Gunicorn, FastAPI with uvicorn (not dev servers)

Required Steps

Copy this checklist and verify each item:

- [ ] Framework selected
- [ ] Auth strategy decided: app auth, user auth, or both
- [ ] App resources identified (SQL warehouse, Lakebase, serving endpoint, etc.)
- [ ] Backend data strategy decided (SQL warehouse, Lakebase, or SDK)
- [ ] Deployment method: CLI or DABs

Framework Selection

Framework Best For app.yaml Command
Dash Production dashboards, BI tools, complex interactivity ["python", "app.py"]
Streamlit Rapid prototyping, data science apps, internal tools ["streamlit", "run", "app.py"]
Gradio ML demos, model interfaces, chat UIs ["python", "app.py"]
Flask Custom REST APIs, lightweight apps, webhooks ["gunicorn", "app:app", "-w", "4", "-b", "0.0.0.0:8080"]
FastAPI Async APIs, auto-generated OpenAPI docs ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "8080"]
Reflex Full-stack Python apps without JavaScript ["reflex", "run", "--env", "prod"]

Default: Recommend Streamlit for prototypes, Dash for production dashboards, FastAPI for APIs, Gradio for ML demos.

Quick Reference

Concept Details
Runtime Python 3.11, Ubuntu 22.04, 2 vCPU, 6 GB RAM
Pre-installed Dash 2.18.1, Streamlit 1.38.0, Gradio 4.44.0, Flask 3.0.3, FastAPI 0.115.0
Auth (app) Service principal via Config() — auto-injected DATABRICKS_CLIENT_ID/DATABRICKS_CLIENT_SECRET
Auth (user) x-forwarded-access-token header — see 1-authorization.md
Resources valueFrom in app.yaml — see 2-app-resources.md
Cookbook https://apps-cookbook.dev/
Docs https://docs.databricks.com/aws/en/dev-tools/databricks-apps/

Read the full file on GitHub · 209 lines

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 · 209 lines · 103 tokens per session scan A af71bd7304b1

Subscribe to this mod's changes

databricks-app-python is a skill published in the GitHub repository alessandro9110/Speech-To-Text-With-Databricks (4 stars, last pushed 8mo ago), licensed MIT. It adds 103 tokens to every session and 2,568 once invoked, about $0.0004 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 2026-10-02.

Backend and APIsLanguagesPythondatabricksdelta-lakegenerative-ailakehousemachinespeech-to-text
Related

databricks-app-python compared with skills from other repositories

databricks-app-python next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
databricks-app-pythonalessandro9110/Speech-To-Text-With-DatabricksSkill48mo agoMITA103Claude Code
django-idiomsirahardianto/awesome-agvSkill15823d agoMITA53Claude Code, Codex
django-expertpersonamanagmentlayer/pclSkill4411d agoApache-2.0A47Claude Code
flask-expertpersonamanagmentlayer/pclSkill4411d agoApache-2.0A49Claude Code
fastapi-expertpersonamanagmentlayer/pclSkill4411d agoApache-2.0A49Claude Code
databricks-expertpersonamanagmentlayer/pclSkill4411d agoApache-2.0A74Claude Code
fastapi-patternsaffaan-m/ECCSkill298k4d agoMITA35Claude Code, Kiro