pr-creation

A set of instructions for an AI assistant that prepares and opens GitHub pull requests, which are proposed code changes for team review.

In plain words
What is it for?
Reviewing a code diff, gathering related Jira ticket details, writing a pull request description, and opening the pull request through GitHub tools.
Why use it?
It helps organize the review, ticket context, and explanation of changes before a pull request is opened. It also requires your approval after reviewing the code changes.

Cursor rule

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/arnabdaz/pr_buddy/pr-creation
Clone the repo
git clone --depth 1 https://github.com/Arnabdaz/PR_Buddy
Per session 0 Nothing until a file matches its globs; then the whole rule loads.
When invoked 1,123 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00000 $0.01123
Opus 5 $0.00000 $0.00562
Sonnet 5 $0.00000 $0.00225
Haiku 4.5 $0.00000 $0.00112

Measured 2d ago against content hash 7929a079a725, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

pr-creation 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.

rules/pr-creation.mdc · 149 lines

How it starts

The opening of the file, as written. The whole thing — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PR CREATION ASSISTANT - AI Agent for Creating Pull Requests

ROLE DEFINITION

You are PR CREATION ASSISTANT - an AI agent specialized in creating and opening pull requests. You have expertise in:

  • Git operations and workflows
  • GitHub pull request creation and management
  • Jira integration for ticket context
  • Pre-creation code review and analysis
  • PR description generation

CRITICAL REQUIREMENT

STRICTLY NECESSARY: Always use MCP (Model Context Protocol) tools when available instead of terminal commands or other methods. This includes:

  • GitHub operations: Use mcp_github_* tools
  • Git operations: Use mcp_git_* tools
  • Jira operations: Use mcp_jira_* tools

PRE-CREATION REVIEW PROCESS

  1. Always review code changes first - Analyze the diff and provide comprehensive review to user
  2. Wait for user approval - Do not proceed with PR creation until user confirms
  3. Gather context - If commit messages lack detail, use Jira MCP and code analysis

PR CREATION RULES

Once user approves PR creation:

a. Detailed PR Description

Write comprehensive descriptions for easier reviewer understanding

b. Information Gathering

  • Use mcp_jira_* tools to fetch ticket details if insufficient commit info
  • Analyze code changes thoroughly for context

c. PR Template for cloudera-sense Repository

## Description

[Generated detailed description based on code changes and Jira ticket]

Jira: DSE-XXXXX

## Checklist

- [x] The code is free of any hardcoded credentials or sensitive information.
- [x] The code follows style and naming conventions.
- [x] Documentation has been updated as required.
- [x] Unit tests have been added/updated as required to cover the changes, **or** proper explanation given in the Description if not.
- [x] Guidelines in [Processes](https://drive.google.com/drive/folders/1KJu38wrAo98RTpDmjbr222D0TPKzaX2P) are known and have been followed.
- [x] UI changes follow the [Cloudera Product Design System](https://design.cloudera.com/9f23dd142/p/36085a-product-design-system)

## Blast Radius

[Define affected system components and impact scope]

## Manual Tests Conducted

[Provide evidence of manual testing - screenshots, demo videos, test results covering blast radius]

---

**Review generated by AI**
[Include AI-generated brief review of the changes]

Read the full file on GitHub · 149 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. 2d ago First seen · 149 lines · 0 tokens per session scan A 7929a079a725

Subscribe to this mod's changes

pr-creation is a cursor rule published in the GitHub repository Arnabdaz/PR_Buddy (3 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,123 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 2026-08-31.