pr-description

pr-description is a skill for Claude Code, Codex from juandarn/pr-description-skill. It costs 53 tokens per session (3,648 once invoked), scanned A, original, MIT.

A pull-request description writer that reviews the commits and code changes in a Git branch. A pull request is a proposed code change submitted for review before it is merged.

In plain words
What is it for?
It helps summarize features, fixes, performance work, interface changes, refactoring, tests, and documentation, including diagrams showing how the change works.
Why use it?
It turns a large or technical change into a structured explanation that reviewers can scan quickly.

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

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/juandarn/pr-description-skill/pr-description.svg)](https://agentmods.dev/skills/juandarn/pr-description-skill/pr-description)
Your own site
<a href="https://agentmods.dev/skills/juandarn/pr-description-skill/pr-description"><img src="https://agentmods.dev/badge/skills/juandarn/pr-description-skill/pr-description.svg" alt="Measured on agentmods" height="20"></a>
Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,648 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00053 $0.03648
Opus 5 $0.00026 $0.01824
Sonnet 5 $0.00011 $0.00730
Haiku 4.5 $0.00005 $0.00365

Measured 3d ago against content hash 65a0359d39e0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

pr-description 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 3d 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.

**Private-repo note**: an anonymous `curl` of the asset URL returns 404 — do not interpret this as a broken upload. The asset renders correctly for any logged-in reviewer with repo access (served same-origin, not via the
skills/pr-description/SKILL.md · 326 lines

How it starts

The opening of the file, as written. The whole thing — 326 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PR Description Generator

When creating or updating a pull request, ALWAYS generate a comprehensive, visual description following the format below. The goal is that a reviewer can understand the entire PR in under 60 seconds by scanning diagrams and bold titles.

Process

  1. Identify the base branch (usually master or main)
  2. Read ALL commits in the branch: git log --oneline <base>..HEAD
  3. Read the full diff against base: git diff <base>...HEAD --stat for an overview
  4. Read the actual code changes for key files: git diff <base>...HEAD -- <file> to understand the logic
  5. Categorize changes into: Features, Bug Fixes, Performance, UI/UX, Refactoring, Testing, Documentation
  6. Create Mermaid diagrams to visualize the changes (see Diagram Guidelines below)
  7. Write the description in English regardless of the conversation language

PR Description Template

## Summary

[1-3 bullet points explaining WHAT changed and WHY, in plain language]

## Diagrams

### [Diagram title - e.g., "Data Flow", "Bug -> Fix", "Architecture Change"]

```mermaid
[Appropriate diagram type - see Diagram Guidelines]
```

### [Additional diagram if needed - e.g., "Code Changes", "State Machine"]

```mermaid
[Additional diagram]
```

## Changes

### [Category 1] (e.g., Features, Bug Fixes, Performance)
- **[Change title]** - brief explanation of what and why
- **[Change title]** - brief explanation of what and why

### [Category 2]
- ...

## Code Changes (key files)

```mermaid
flowchart LR
    subgraph "filename.ts"
        A["line X:<br/><s>old code</s>"] --> B["new code"]
    end
```

## Test Plan

- [x] [Automated test that passes - with count if applicable]
- [x] [Another automated test]
- [ ] [Manual test step to verify]
- [ ] [Another manual verification]

### What type of PR is this?

- [ ] Refactor
- [ ] Feature
- [ ] Bug Fix
- [ ] Optimization
- [ ] Documentation Update
- [ ] Testing Coverage
- [ ] Other

## Evidence (Before/After)

<!-- Backend / API / service — run locally, exercise with real requests, capture stdout/responses, render to PNG: -->
![Working run](https://github.com/{owner}/{repo}/releases/download/pr-evidence/pr-{N}-evidence.png)

<!-- UI — run the app locally, drive the real screen with Playwright, screenshot actual rendered UI: -->
| Before | After |
|--------|-------|
| ![Before](https://github.com/{owner}/{repo}/releases/download/pr-evidence/pr-{N}-before.png) | ![After](https://github.com/{owner}/{repo}/releases/download/pr-evidence/pr-{N}-after.png) |

<!-- New component — no prior screen exists, after-only: -->
![After](https://github.com/{owner}/{repo}/releases/download/pr-evidence/pr-{N}-evidence.png)

<!-- CLI / hooks / scripts — run the real command, capture real output, screenshot it: -->
![Real output](https://github.com/{owner}/{repo}/releases/download/pr-evidence/pr-{N}-evidence.png)

<!-- Fallback only when the service genuinely cannot be run locally (hard external deps, secrets): capture from a real deployed run or emit an explicit placeholder for the author — NEVER invent or mock the image: -->
| Before | After |
|--------|-------|
| _[author: attach REAL BEFORE screenshot here — no mocks]_ | _[author: attach REAL AFTER screenshot here — no mocks]_ |

Read the full file on GitHub · 326 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. 3d ago First seen · 326 lines · 53 tokens per session scan A 65a0359d39e0

Subscribe to this mod's changes

pr-description is a skill published in the GitHub repository juandarn/pr-description-skill (5 stars, last pushed 2mo ago), licensed MIT. It adds 53 tokens to every session and 3,648 once invoked, about $0.0003 per session on Opus 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 2026-08-31.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

brainstorming

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

obra/superpowers · 37 tokens

auto-perf-optimize

Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.

microsoft/vscode · 62 tokens

chat-perf

Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.

microsoft/vscode · 51 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens