What is review-prompt?

A system for asking App Store users for ratings at selected moments, with configurable conditions and platform checks.

Use it to add timed rating prompts to an iOS or Mac App Store app, or determine when an in-app review request is appropriate.

It helps avoid showing review requests at unsuitable times and ensures the request is used only for App Store-distributed apps.

review-prompt — Skill for Claude Code by rshankras

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.

Any agent

npx skills add rshankras/claude-code-apple-skills --skill review-prompt

Clone the repo

git clone --depth 1 https://github.com/rshankras/claude-code-apple-skills

Made for: Claude Code.

Or install apple-skills, the plugin that ships this one along with the rest of its 147 skills.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/rshankras/claude-code-apple-skills/review-prompt/github.svg)](https://agentmods.dev/skills/rshankras/claude-code-apple-skills/review-prompt)

Your own site

<a href="https://agentmods.dev/skills/rshankras/claude-code-apple-skills/review-prompt"><img src="https://agentmods.dev/badge/skills/rshankras/claude-code-apple-skills/review-prompt/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/rshankras/claude-code-apple-skills/review-prompt"><img src="https://agentmods.dev/badge/skills/rshankras/claude-code-apple-skills/review-prompt.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,192 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 warn 7 Sept 2026

SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

high Memory Poisoning · line 163
Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.

Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00037	$0.01192
Opus 5	$0.00018	$0.00596
Sonnet 5	$0.00007	$0.00238
Haiku 4.5	$0.00004	$0.00119

Measured 8d ago against content hash c90eb4ac88ea, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

review-prompt 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 8d 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/generators/review-prompt/SKILL.md · 181 lines

How it starts

The opening of the file, as written. The whole thing — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Review Prompt Generator

Generate smart App Store review prompting with configurable trigger conditions, platform detection, and proper timing logic.

When This Skill Activates

Use this skill when the user:

Asks to "add review prompt" or "request reviews"
Mentions "App Store rating" or "app reviews"
Wants to "prompt for ratings" or "ask for reviews"
Asks about "StoreKit review" or "SKStoreReviewController"

Platform Detection (CRITICAL)

This skill only applies to App Store distributed apps.

iOS Apps

Always applicable (iOS apps require App Store)

macOS Apps

Detection steps:

Check for com.apple.application-identifier entitlement
Look for Mac App Store related code
If unclear, ASK THE USER:
- "Is this app distributed via Mac App Store or direct download?"

If NOT App Store:

Explain that StoreKit reviews only work for App Store apps
Offer alternative: In-app feedback form
Skip generation or generate feedback form instead

Pre-Generation Checks

1. Project Context Detection

Determine platform (iOS/macOS)
Check distribution method (App Store vs direct)
Search for existing review prompt code
Identify App entry point

2. Conflict Detection

Search for existing implementations:

Grep: "requestReview" or "SKStoreReviewController" or "StoreKit"
Glob: **/*Review*.swift

If found, ask user:

Replace existing implementation?
Enhance with better timing logic?

Configuration Questions

Ask user via AskUserQuestion:

Trigger conditions? (multi-select)
- Session count (e.g., after 5 sessions)
- Days since install (e.g., after 3 days)
- Positive actions (e.g., after completing a task)
- Feature usage (e.g., after using key feature 3 times)
Minimum thresholds?
- Sessions before first prompt: 3-5 (default: 3)
- Days before first prompt: 2-7 (default: 3)
Cool-down period?
- Days between prompts: 30-90 (default: 60)
- Apple limits to 3 prompts/year anyway

Read the full file on GitHub · 181 lines

Files

What ships with it

4 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.

8d ago First seen · 181 lines · 37 tokens per session scan A c90eb4ac88ea

Subscribe to this mod's changes

review-prompt is a skill published in the GitHub repository rshankras/claude-code-apple-skills (719 stars, last pushed 1mo ago), licensed MIT. It adds 37 tokens to every session and 1,192 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 2026-09-03.

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review-prompt