pr_description

pr_description is a skill for Claude Code, Codex from ahmadrrrtx/xr. It costs 0 tokens per session (65 once invoked), scanned A, original, MIT.

A pull request description tool that compares a development branch with the main branch and drafts the review summary.

In plain words
What is it for?
Use it to produce a pull request with a summary, change list, testing details, and risk notes.
Why use it?
It saves time gathering the changes and makes testing and risks easier for reviewers to understand.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

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/ahmadrrrtx/xr/pr_description
Any agent
npx skills add ahmadrrrtx/xr --skill pr_description
Clone the repo
git clone --depth 1 https://github.com/ahmadrrrtx/xr

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 pr_description

README.md
[![agentmods](https://agentmods.dev/badge/skills/ahmadrrrtx/xr/pr_description.svg)](https://agentmods.dev/skills/ahmadrrrtx/xr/pr_description)
Your own site
<a href="https://agentmods.dev/skills/ahmadrrrtx/xr/pr_description"><img src="https://agentmods.dev/badge/skills/ahmadrrrtx/xr/pr_description.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 65 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 5.1 $0.00000 $0.00065
Opus 5 $0.00000 $0.00032
Sonnet 5 $0.00000 $0.00013
Haiku 4.5 $0.00000 $0.00006

Measured 6d ago against content hash b6f78d9e76d5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

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 6d 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.

skills/pr_description/SKILL.md · 12 lines

What it actually says

PR Description

  1. Get the branch diff vs main.
  2. Produce a full PR description: summary, changes, testing, risks.
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. 6d ago First seen · 12 lines · 0 tokens per session scan A b6f78d9e76d5

Subscribe to this mod's changes

pr_description is a skill published in the GitHub repository ahmadrrrtx/xr (5 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 65 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.

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