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

.claude/skills/databricks-zerobus-ingest/SKILL.md

databricks-zerobus-ingest is a skill for Claude Code from alessandro9110/Speech-To-Text-With-Databricks. It costs 87 tokens per session (2,588 once invoked), scanned A, original, MIT.

A guide to Zerobus Ingest, a Databricks service for sending individual records directly into Delta tables over gRPC. gRPC is a method for programs to communicate with each other over a network.

In plain words
What is it for?
Use it to build near-real-time data producers in Python, Java, Go, TypeScript, or Rust, using JSON or Protobuf records.
Why use it?
It removes the need to run a separate message system such as Kafka, Kinesis, or Event Hub when sending data into Databricks tables. It also covers schema validation and delivery acknowledgements.

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 →

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-zerobus-ingest/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

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README.md
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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.

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<a href="https://agentmods.dev/skills/alessandro9110/speech-to-text-with-databricks/databricks-zerobus-ingest"><img src="https://agentmods.dev/badge/skills/alessandro9110/speech-to-text-with-databricks/databricks-zerobus-ingest.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 87 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,588 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 $0.00087 $0.02588
Opus 5.5 $0.00035 $0.01035
Sonnet 5.5 $0.00017 $0.00518
Haiku 4.5 $0.00009 $0.00259

Measured 1mo ago against content hash 4462e58be87a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

databricks-zerobus-ingest 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-zerobus-ingest/SKILL.md · 229 lines

How it starts

The opening of the file, as written. The whole thing — 229 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Zerobus Ingest

Build clients that ingest data directly into Databricks Delta tables via the Zerobus gRPC API.

Status: Public Preview (currently free; Databricks plans to introduce charges in the future)

Documentation:


What Is Zerobus Ingest?

Zerobus Ingest is a serverless connector that enables direct, record-by-record data ingestion into Delta tables via gRPC. It eliminates the need for message bus infrastructure (Kafka, Kinesis, Event Hub) for lakehouse-bound data. The service validates schemas, materializes data to target tables, and sends durability acknowledgments back to the client.

Core pattern: SDK init -> create stream -> ingest records -> handle ACKs -> flush -> close


Quick Decision: What Are You Building?

Scenario Language Serialization Reference
Quick prototype / test harness Python JSON 2-python-client.md
Production Python producer Python Protobuf 2-python-client.md + 4-protobuf-schema.md
JVM microservice Java Protobuf 3-multilanguage-clients.md
Go service Go JSON or Protobuf 3-multilanguage-clients.md
Node.js / TypeScript app TypeScript JSON 3-multilanguage-clients.md
High-performance system service Rust JSON or Protobuf 3-multilanguage-clients.md
Schema generation from UC table Any Protobuf 4-protobuf-schema.md
Retry / reconnection logic Any Any 5-operations-and-limits.md

If not speficfied, default to python.

Read the full file on GitHub · 229 lines

Files

What ships with it

5 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 · 229 lines · 87 tokens per session scan A 4462e58be87a

Subscribe to this mod's changes

databricks-zerobus-ingest is a skill published in the GitHub repository alessandro9110/Speech-To-Text-With-Databricks (4 stars, last pushed 8mo ago), licensed MIT. It adds 87 tokens to every session and 2,588 once invoked, about $0.0003 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.

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