prp: Skill for Claude Code

.agents/skills/prp-pr/SKILL.md

prp-pr is a skill for Claude Code from Wirasm/prp. It costs 56 tokens per session (1,194 once invoked), scanned A, original, MIT.

A workflow for creating and opening a GitHub pull request, which is a proposed set of code changes submitted for review. It checks the branch, commits the intended changes, and prepares a reviewer-friendly request.

In plain words
What is it for?
Use it after finishing development work to commit the relevant changes and open a pull request on GitHub.
Why use it?
It helps ensure the pull request contains the completed work without accidentally including unrelated local changes. It also determines the appropriate target branch from the project context.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution. Also seen: mentions subagents; positional $N argument; installed under .agents/ (shared by several agents).

This is Wirasm/prp's own configuration. It tells Claude Code how to work on prp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything prp configures →

View source ↗ Wirasm/prp
About the project

PRP is a collection of prompts and workflows for AI-assisted software development with Claude Code. Its Product Requirement Prompts combine product requirements, selected codebase context, and an execution runbook so a coding agent can implement a vertical slice of software. The catalogue entries are the project’s own skills, agents, instructions, hook, and plugin workflows.

Wirasm/prp · 2,264 stars · on GitHub

Reuse

Borrowing it

Nothing to install: this file belongs to Wirasm/prp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Wirasm/prp/development/.agents/skills/prp-pr/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/Wirasm/prp

Made for: Claude Code.

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 prp-pr

README.md
[![agentmods](https://agentmods.dev/badge/skills/wirasm/prp/prp-pr/github.svg)](https://agentmods.dev/skills/wirasm/prp/prp-pr)
Your own site
<a href="https://agentmods.dev/skills/wirasm/prp/prp-pr"><img src="https://agentmods.dev/badge/skills/wirasm/prp/prp-pr/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 prp-pr

Your own site · 80×15
<a href="https://agentmods.dev/skills/wirasm/prp/prp-pr"><img src="https://agentmods.dev/badge/skills/wirasm/prp/prp-pr.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,194 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00056 $0.01194
Opus 5.5 $0.00022 $0.00478
Sonnet 5.5 $0.00011 $0.00239
Haiku 4.5 $0.00006 $0.00119

Measured 1mo ago against content hash 8165ed94f6f0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

prp-pr 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 1mo 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/prp-pr/SKILL.md · 102 lines

How it starts

The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Arguments: $ARGUMENTS (and $1, $2, ...) refer to the arguments given when this skill was invoked. Take them from the user's request; if absent, infer them from the conversation.

Create Pull Request

Create a clear, reviewer-friendly GitHub pull request for the completed work on the current branch.

Arguments: $ARGUMENTS

Scope

Run this at the PR-creation step after the requested work has been done by the current agent, a subagent, or another collaborator. Ensure every change belonging to that work is committed before opening the PR. If intended changes remain uncommitted, invoke $prp-commit with a natural-language target that identifies only those changes, then verify the resulting commit. Never sweep unrelated worktree changes into the commit.

The pull request itself is the artifact; do not create a separate local PR document.

1. Establish the PR target

Inspect the current branch, repository instructions, remote branches, and Git history. Determine the base in this order:

  1. An explicit --base <branch>.
  2. The base recorded on an existing PR for this branch.
  3. The repository's documented development flow.
  4. Branch ancestry against likely integration branches such as development, dev, and the remote default branch.
  5. The remote default branch as a fallback.

Use the same resolved base for every log, diff, and PR command. Never assume main. If the evidence is genuinely ambiguous, stop and ask rather than opening the PR against a guessed target.

Check whether any open or closed PR already exists for the current branch. If one exists, return its URL and state instead of creating a duplicate.

2. Validate the committed work

  • Re-read git status and the diff after any commit to confirm no intended changes were omitted.
  • Confirm the current branch is not the resolved base and contains commits ahead of it.
  • Fetch current remote state, then read the complete merge-base diff and commit range against the resolved base—not only the file list or diff stat.
  • Compare the diff with the user's requested outcome and repository instructions. Stop if the branch does not contain the intended work or includes unexplained scope.
  • Find the repository's pull request template in its supported root, .github, or docs locations. If several templates could apply and the correct one cannot be inferred, ask which to use.

Read the full file on GitHub · 102 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. 1mo ago First seen · 102 lines · 56 tokens per session scan A 8165ed94f6f0

Subscribe to this mod's changes

prp-pr is a skill published in the GitHub repository Wirasm/prp (2,264 stars, last pushed 18d ago), licensed MIT. It adds 56 tokens to every session and 1,194 once invoked, about $0.0002 per session on Opus 5.5. 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.