performance-optimization

performance-optimization is a cursor rule for Cursor from PulkitXChadha/awesome-databricks-mcp. It costs 3,497 tokens per session, scanned A, original, no licence file.

Performance guidance for the backend, including FastAPI, a Python framework for web services. It covers JSON responses and pagination, which splits large result sets into smaller pages.

In plain words
What is it for?
Use it when optimizing FastAPI endpoints, returning data as JSON, or adding pagination to large results.
Why use it?
It addresses slow responses and the difficulty of handling large datasets efficiently.

Cursor rule for Cursor

Written for Cursor: installed under .cursor/.

Good fit Use it when optimizing FastAPI endpoints, returning data as JSON, or adding pagination to large results.

Compare 6 cursor rules from other repositories ↓
Install with agentmods
npx agentmods add rules/pulkitxchadha/awesome-databricks-mcp/performance-optimization
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.

Clone the repo
git clone --depth 1 https://github.com/PulkitXChadha/awesome-databricks-mcp

Made for: Cursor.

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 performance-optimization

README.md
[![agentmods](https://agentmods.dev/badge/rules/pulkitxchadha/awesome-databricks-mcp/performance-optimization/github.svg)](https://agentmods.dev/rules/pulkitxchadha/awesome-databricks-mcp/performance-optimization)
Your own site
<a href="https://agentmods.dev/rules/pulkitxchadha/awesome-databricks-mcp/performance-optimization"><img src="https://agentmods.dev/badge/rules/pulkitxchadha/awesome-databricks-mcp/performance-optimization/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 performance-optimization

Your own site · 80×15
<a href="https://agentmods.dev/rules/pulkitxchadha/awesome-databricks-mcp/performance-optimization"><img src="https://agentmods.dev/badge/rules/pulkitxchadha/awesome-databricks-mcp/performance-optimization.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 3,497 This file is loaded in full into every session.
When invoked 3,497 The same file — it is already loaded in full.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.03497 $0.03497
Opus 5.5 $0.01399 $0.01399
Sonnet 5.5 $0.00699 $0.00699
Haiku 4.5 $0.00350 $0.00350

Measured 2mo ago against content hash 766c7ce0857a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

performance-optimization scanned grade A with 1 finding 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 2mo 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

fetch(url, options)
.cursor/rules/performance-optimization.mdc · 536 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

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. 2mo ago First seen · 536 lines · 3,497 tokens per session scan A 766c7ce0857a

Subscribe to this mod's changes

performance-optimization is a cursor rule published in the GitHub repository PulkitXChadha/awesome-databricks-mcp (19 stars, last pushed 1y ago), with no licence file. It adds 3,497 tokens to every session, about $0.0140 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.