prp: Skill for Claude Code

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

prp-review is a skill for Claude Code from Wirasm/prp. It costs 108 tokens per session (724 once invoked), scanned A, original, MIT.

A workflow for reviewing GitHub pull requests, which are proposed code changes submitted for team review, through specialist review agents and repository checks.

In plain words
What is it for?
Use it to review code, connections between components, or opportunities to simplify a pull request, then validate and publish the result.
Why use it?
It organizes findings, verifies corrections, and combines the requested review areas into one evidence-based result.

Skill for Claude Code

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

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-review/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-review

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/wirasm/prp/prp-review"><img src="https://agentmods.dev/badge/skills/wirasm/prp/prp-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 108 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 724 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 $0.00108 $0.00724
Opus 5.5 $0.00043 $0.00290
Sonnet 5.5 $0.00022 $0.00145
Haiku 4.5 $0.00011 $0.00072

Measured 18d ago against content hash e0fd22084724, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

prp-review 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 18d 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-review/SKILL.md · 47 lines

How it starts

The opening of the file, as written. The whole thing — 47 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.

Review a Pull Request

Coordinate an evidence-based PR review. Reviewer agents are the only path for judging the code: do not add an inline review pass before or after them.

Input: $ARGUMENTS (if absent, use the current branch's PR).

Let workflows/agents.md own scope selection, reviewer dispatch, correction verification, aggregation, and publication. Pass the operator's scope intent and flags through without rebuilding those contracts here.

Resolve the canonical store before starting:

# --- PRP store resolver (canonical; keep byte-identical across skills) ---
# Adopt the store that already records this root; mint a key only when none does.
_gd="$(git rev-parse --path-format=absolute --git-common-dir 2>/dev/null)"
case "$_gd" in */.git) _root="${_gd%/.git}" ;; "") _root="$PWD" ;; *) _root="$_gd" ;; esac
_root="$(cd "$_root" && pwd -P)"
_name="$(basename "$_root" | tr '[:upper:]' '[:lower:]' | tr -cs 'a-z0-9' '-' | sed 's/^-*//;s/-*$//')"
_home="${PRP_HOME:-$HOME/.prp}"
_hit="$(grep -lsF "\"path\": \"$_root\"" "$_home"/*/project.json 2>/dev/null | head -1)"
PRP_DIR="${_hit%/project.json}"
[ -n "$PRP_DIR" ] || PRP_DIR="$_home/${_name:-project}-$(printf %s "$_root" | git hash-object --stdin | cut -c1-8)"
mkdir -p "$PRP_DIR"; [ -f "$PRP_DIR/project.json" ] || printf '{"path": "%s", "name": "%s"}\n' "$_root" "${_name:-project}" > "$PRP_DIR/project.json"

Read workflows/agents.md and execute it end-to-end. Before producing the report, read templates/review-report.md and follow its output contract exactly.

In helm, $prp-companion makes the review's page live: it writes pr-{NUMBER}-review.data.json beside the page and opens it, so the operator's status changes and replies on the page reach you as mail. Answer them as the companion's live mode says, and return the data file's path with the companion's.

Read the full file on GitHub · 47 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 18d ago Changed · +5 lines e0fd22084724
  2. 23d ago Changed · +22 tokens per session 5d595d7f5999
  3. 1mo ago First seen · 42 lines · 86 tokens per session scan A eb6f1c198b37

Subscribe to this mod's changes

prp-review is a skill published in the GitHub repository Wirasm/prp (2,264 stars, last pushed 18d ago), licensed MIT. It adds 108 tokens to every session and 724 once invoked, about $0.0004 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.

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