create-pr-description

create-pr-description is a skill for Claude Code, Codex from zetaalphavector/RAGElo. It costs 44 tokens per session (1,643 once invoked), scanned A, original, Apache-2.0.

A tool for writing pull request descriptions, which explain proposed code changes to reviewers. It examines commits, the actual code diff, changed files, repository guidance, and related issues.

In plain words
What is it for?
Use it to create a pull request title, summary, and suggested reviewers after changes have been made.
Why use it?
It helps produce a review-ready explanation based on the implementation rather than relying only on incomplete commit messages.

Skill for Claude CodeCodex

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 skills/zetaalphavector/ragelo/create-pr-description
Any agent
npx skills add zetaalphavector/RAGElo --skill create-pr-description
Clone the repo
git clone --depth 1 https://github.com/zetaalphavector/RAGElo

Made for: Claude Code, Codex.

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 create-pr-description

README.md
[![agentmods](https://agentmods.dev/badge/skills/zetaalphavector/ragelo/create-pr-description.svg)](https://agentmods.dev/skills/zetaalphavector/ragelo/create-pr-description)
Your own site
<a href="https://agentmods.dev/skills/zetaalphavector/ragelo/create-pr-description"><img src="https://agentmods.dev/badge/skills/zetaalphavector/ragelo/create-pr-description.svg" alt="Measured on agentmods" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,643 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 $0.00044 $0.01643
Opus 5 $0.00022 $0.00822
Sonnet 5 $0.00009 $0.00329
Haiku 4.5 $0.00004 $0.00164

Measured 5d ago against content hash 6983520e8d61, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

create-pr-description 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 5d 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.

.agents/skills/create-pr-description/SKILL.md · 234 lines

How it starts

The opening of the file, as written. The whole thing — 234 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PR Description Generator Skill

Overview

This skill generates high-quality pull request descriptions for the RAGElo project by analyzing all changes, gathering context, and producing a human-readable summary. RAGElo is a Python library and CLI for evaluating RAG agents using Elo-based tournament ranking, published on PyPI.

Output Format

The agent must produce:

  1. PR Title - A concise, descriptive title (do NOT use conventional commits format like feat(scope): or fix:)
  2. PR Description - Human-readable summary of changes
  3. Proposed Reviewers - 1-2 people based on git history (excluding the PR author)

Step 1: Gather All Changes

Get the list of commits

git log origin/master..HEAD --oneline

Get the full diff

git diff origin/master..HEAD

Get list of changed files

git diff --name-only origin/master..HEAD

IMPORTANT: Do not just read commit messages. You MUST read the actual code changes to understand what was done. Commit messages may be incomplete or misleading.


Step 2: Gather Context

Read CLAUDE.md

Read CLAUDE.md at the repo root for project architecture, commands, and conventions.

Check for related issues (MANDATORY)

This step is required, not optional. Keyword searches often miss relevant issues. Use multiple approaches:

1. Browse recent open issues first (most reliable)
gh issue list --limit 50 --json number,title | jq -r '.[] | "\(.number): \(.title)"'

Scan issue titles manually - the tracking issue for your work may use different terminology than you'd search for.

2. Then search by keywords
gh issue list --search "<keyword1>" --json number,title | jq -r '.[] | "\(.number): \(.title)"'
gh issue list --search "<keyword2>" --json number,title | jq -r '.[] | "\(.number): \(.title)"'

Note: These searches default to open issues. If you need historical context on closed issues, add --state closed explicitly.

Read the full file on GitHub · 234 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. 5d ago First seen · 234 lines · 44 tokens per session scan A 6983520e8d61

Subscribe to this mod's changes

create-pr-description is a skill published in the GitHub repository zetaalphavector/RAGElo (131 stars, last pushed 23d ago), licensed Apache-2.0. It adds 44 tokens to every session and 1,643 once invoked, about $0.0002 per session on Opus 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 2026-08-30.