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.
curl -O https://raw.githubusercontent.com/alessandro9110/Speech-To-Text-With-Databricks/main/.claude/skills/databricks-lakebase-provisioned/SKILL.mdgit clone --depth 1 https://github.com/alessandro9110/Speech-To-Text-With-DatabricksWrote 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.
[](https://agentmods.dev/skills/alessandro9110/speech-to-text-with-databricks/databricks-lakebase-provisioned)<a href="https://agentmods.dev/skills/alessandro9110/speech-to-text-with-databricks/databricks-lakebase-provisioned"><img src="https://agentmods.dev/badge/skills/alessandro9110/speech-to-text-with-databricks/databricks-lakebase-provisioned/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.
<a href="https://agentmods.dev/skills/alessandro9110/speech-to-text-with-databricks/databricks-lakebase-provisioned"><img src="https://agentmods.dev/badge/skills/alessandro9110/speech-to-text-with-databricks/databricks-lakebase-provisioned.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00033 | $0.02486 |
| Opus 5.5 | $0.00013 | $0.00994 |
| Sonnet 5.5 | $0.00007 | $0.00497 |
| Haiku 4.5 | $0.00003 | $0.00249 |
Grade A, and why
databricks-lakebase-provisioned 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.
How it starts
The opening of the file, as written. The whole thing — 309 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lakebase Provisioned
Patterns and best practices for using Lakebase Provisioned (Databricks managed PostgreSQL) for OLTP workloads.
When to Use
Use this skill when:
- Building applications that need a PostgreSQL database for transactional workloads
- Adding persistent state to Databricks Apps
- Implementing reverse ETL from Delta Lake to an operational database
- Storing chat/agent memory for LangChain applications
Overview
Lakebase Provisioned is Databricks' managed PostgreSQL database service for OLTP (Online Transaction Processing) workloads. It provides a fully managed PostgreSQL-compatible database that integrates with Unity Catalog and supports OAuth token-based authentication.
| Feature | Description |
|---|---|
| Managed PostgreSQL | Fully managed instances with automatic provisioning |
| OAuth Authentication | Token-based auth via Databricks SDK (1-hour expiry) |
| Unity Catalog | Register databases for governance |
| Reverse ETL | Sync data from Delta tables to PostgreSQL |
| Apps Integration | First-class support in Databricks Apps |
Available Regions (AWS): us-east-1, us-east-2, us-west-2, eu-central-1, eu-west-1, ap-south-1, ap-southeast-1, ap-southeast-2
Quick Start
Create and connect to a Lakebase Provisioned instance:
from databricks.sdk import WorkspaceClient
import uuid
# Initialize client
w = WorkspaceClient()
# Create a database instance
instance = w.database.create_database_instance(
name="my-lakebase-instance",
capacity="CU_1", # CU_1, CU_2, CU_4, CU_8
stopped=False
)
print(f"Instance created: {instance.name}")
print(f"DNS endpoint: {instance.read_write_dns}")
Common Patterns
Generate OAuth Token
from databricks.sdk import WorkspaceClient
import uuid
w = WorkspaceClient()
# Generate OAuth token for database connection
cred = w.database.generate_database_credential(
request_id=str(uuid.uuid4()),
instance_names=["my-lakebase-instance"]
)
token = cred.token # Use this as password in connection string
What ships with it
2 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.
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.
- 1mo ago First seen · 309 lines · 33 tokens per session scan A a5d30fb0f4cd
databricks-lakebase-provisioned is a skill published in the GitHub repository alessandro9110/Speech-To-Text-With-Databricks (4 stars, last pushed 8mo ago), licensed MIT. It adds 33 tokens to every session and 2,486 once invoked, about $0.0001 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.
databricks-lakebase-provisioned compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| databricks-lakebase-provisionedalessandro9110/Speech-To-Text-With-Databricks | Skill | 4 | 8mo ago | MIT | A | 33 | Claude Code |
| databricks-expertpersonamanagmentlayer/pcl | Skill | 44 | 11d ago | Apache-2.0 | A | 74 | Claude Code |
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| postgresql-expertpersonamanagmentlayer/pcl | Skill | 44 | 11d ago | Apache-2.0 | A | 56 | Claude Code |
| alloydb-basicsgoogle/skills | Skill | 22k | yesterday | Apache-2.0 | A | 72 | Claude Code, Codex |
| postgresql-table-designwshobson/agents | Skill | 42k | yesterday | MIT | A | 37 | Claude Code |
| db-repairgarrytan/gbrain | Skill | 32k | yesterday | MIT | A | 96 | Claude Code |