Package Management

A rule for managing Python package dependencies with uv, including the uv.lock file that records exact versions. The Databricks Apps deployment installs dependencies from that lockfile.

In plain words
What is it for?
Updating dependencies, maintaining uv.lock, and preparing reliable Databricks Apps deployments.
Why use it?
It helps prevent deployments from using different dependency versions or failing because the lockfile is out of date.

Cursor rule for Cursor

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.

agentmods
npx agentmods add rules/databrickslabs/ontobricks/09-package-management
Clone the repo
git clone --depth 1 https://github.com/databrickslabs/ontobricks

Made for: Cursor.

Per session 0 Nothing until a file matches its globs; then the whole rule loads.
When invoked 859 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00000 $0.00859
Opus 5 $0.00000 $0.00430
Sonnet 5 $0.00000 $0.00172
Haiku 4.5 $0.00000 $0.00086

Measured 2d ago against content hash 7b95958c7c5d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

Package Management 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 2d 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.

.cursor/09-package-management.mdc · 59 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 2d ago First seen · 59 lines · 0 tokens per session scan A 7b95958c7c5d

Subscribe to this mod's changes

Package Management is a cursor rule published in the GitHub repository databrickslabs/ontobricks (298 stars, last pushed 3d ago), with no licence file. It costs nothing until one of its globs matches a file; then it loads 859 tokens. 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 2026-08-30.