agentmods.dev

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

.github/agents/databricks-agent-bricks.agent.md

databricks-agent-bricks is an agent for Claude Code from alessandro9110/Speech-To-Text-With-Databricks. It costs 57 tokens per session (2,380 once invoked), scanned A, original, MIT.

A Databricks guide for creating conversational AI components. It covers document question answering, asking questions of data using SQL, and coordinating multiple AI agents.

In plain words
What is it for?
Use it to build Knowledge Assistants for PDF and text questions, Genie Spaces for natural-language SQL exploration, and Supervisor Agents for multi-agent workflows.
Why use it?
It helps turn stored documents and database tables into systems people can query in natural language. It also provides a way to organise tasks across several AI agents.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md).

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 57 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/.github/agents/databricks-agent-bricks.agent.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-agent-bricks

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

Your own site · 80×15
<a href="https://agentmods.dev/agents/alessandro9110/speech-to-text-with-databricks/databricks-agent-bricks"><img src="https://agentmods.dev/badge/agents/alessandro9110/speech-to-text-with-databricks/databricks-agent-bricks.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 57 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,380 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 $0.00057 $0.02380
Opus 5.5 $0.00023 $0.00952
Sonnet 5.5 $0.00011 $0.00476
Haiku 4.5 $0.00006 $0.00238

Measured 1mo ago against content hash 73928459e2ef, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

databricks-agent-bricks 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.

.github/agents/databricks-agent-bricks.agent.md · 216 lines

How it starts

The opening of the file, as written. The whole thing — 216 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a specialized GitHub Copilot agent for Databricks. Use the knowledge below to assist with tasks.

Agent Bricks

Create and manage Databricks Agent Bricks - pre-built AI components for building conversational applications.

Overview

Agent Bricks are three types of pre-built AI tiles in Databricks:

Brick Purpose Data Source
Knowledge Assistant (KA) Document-based Q&A using RAG PDF/text files in Volumes
Genie Space Natural language to SQL Unity Catalog tables
Supervisor Agent (MAS) Multi-agent orchestration Model serving endpoints

Prerequisites

Before creating Agent Bricks, ensure you have the required data:

For Knowledge Assistants

  • Documents in a Volume: PDF, text, or other files stored in a Unity Catalog volume
  • Generate synthetic documents using the databricks-unstructured-pdf-generation skill if needed

For Genie Spaces

  • See the databricks-genie skill for comprehensive Genie Space guidance
  • Tables in Unity Catalog with the data to explore
  • Generate raw data using the databricks-synthetic-data-generation skill
  • Create tables using the databricks-spark-declarative-pipelines skill

For Supervisor Agents

  • Model Serving Endpoints: Deployed agent endpoints (KA endpoints, custom agents, fine-tuned models)
  • Genie Spaces: Existing Genie spaces can be used directly as agents for SQL-based queries
  • Mix and match endpoint-based and Genie-based agents in the same Supervisor Agent

For Unity Catalog Functions

  • Existing UC Function: Function already registered in Unity Catalog
  • Agent service principal has EXECUTE privilege on the function

For External MCP Servers

  • Existing UC HTTP Connection: Connection configured with is_mcp_connection: 'true'
  • Agent service principal has USE CONNECTION privilege on the connection

MCP Tools

Knowledge Assistant Tool

manage_ka - Manage Knowledge Assistants (KA)

  • action: "create_or_update", "get", "find_by_name", or "delete"
  • name: Name for the KA (for create_or_update, find_by_name)
  • volume_path: Path to documents (e.g., /Volumes/catalog/schema/volume/folder) (for create_or_update)
  • description: (optional) What the KA does (for create_or_update)
  • instructions: (optional) How the KA should answer (for create_or_update)
  • tile_id: The KA tile ID (for get, delete, or update via create_or_update)
  • add_examples_from_volume: (optional, default: true) Auto-add examples from JSON files (for create_or_update)

Read the full file on GitHub · 216 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. 1mo ago First seen · 216 lines · 57 tokens per session scan A 73928459e2ef

Subscribe to this mod's changes

databricks-agent-bricks is an agent published in the GitHub repository alessandro9110/Speech-To-Text-With-Databricks (4 stars, last pushed 8mo ago), licensed MIT. It adds 57 tokens to every session and 2,380 once invoked, about $0.0002 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.

Building agentsData and AIRAG and vectorsdatabricksdelta-lakegenerative-ailakehousemachinespeech-to-text
Related

databricks-agent-bricks compared with agents from other repositories

databricks-agent-bricks next to 6 agents from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
databricks-agent-bricksalessandro9110/Speech-To-Text-With-DatabricksAgent48mo agoMITA57Claude Code
explainabilitybibinprathap/VeritasGraphAgent3262d agoMITA71Claude Code
kg-assistantbibinprathap/VeritasGraphAgent3262d agoMITA57Claude Code
qdrant-expertacaprino/daodanAgent94d agoMITA91Claude Code
tokentonone-ai/tononeAgent7723d agoMITA21Claude Code
FAI LangChain Expertfrootai/frootaiAgent74d agoMITA41Claude Code
rag-evaluatorLucasSantana-Dev/sharekitAgent24d agoMITA68Claude Code