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.
npx skills add cruisediary/apple-app-review-skills --skill age-rating-accuracygit clone --depth 1 https://github.com/cruisediary/apple-app-review-skillsWrote 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.
[](https://agentmods.dev/skills/cruisediary/apple-app-review-skills/age-rating-accuracy)<a href="https://agentmods.dev/skills/cruisediary/apple-app-review-skills/age-rating-accuracy"><img src="https://agentmods.dev/badge/skills/cruisediary/apple-app-review-skills/age-rating-accuracy/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.
<a href="https://agentmods.dev/skills/cruisediary/apple-app-review-skills/age-rating-accuracy"><img src="https://agentmods.dev/badge/skills/cruisediary/apple-app-review-skills/age-rating-accuracy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00043 | $0.01681 |
| Opus 5 | $0.00022 | $0.00840 |
| Sonnet 5 | $0.00009 | $0.00336 |
| Haiku 4.5 | $0.00004 | $0.00168 |
Grade A, and why
age-rating-accuracy 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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Age Rating Accuracy
Purpose
Detects feature patterns that require a higher age rating than commonly submitted, enforcing Guideline 2.3.6 which requires age ratings to accurately reflect the app's content and social features.
Apple Guideline
- Primary: 2.3.6 — Performance: Accurate Metadata — Age Ratings
- Related: 2.3.1
- Reference:
references/guidelines/2-performance.md
Real-World Rejection Cases
- Case: Social chat app rated 4+ — reviewer found strangers could message each other — rejected, must be 12+ minimum Source: Apple Developer Forums (Guideline 2.3.6 enforcement) Root cause: Age rating must accurately reflect content; apps enabling stranger communication require 12+ or 17+ rating — reviewers test social features and will flag a 4+ rating if strangers can interact
Trigger
Invoke on any iOS/macOS project before App Store submission to verify the selected age rating is appropriate for the app's features.
Inputs
| Name | Type | Default | Description |
|---|---|---|---|
project_root |
path | cwd | iOS/macOS project root |
shared_context |
object | nil | Pre-collected context from appstore-full-audit Phase 1 |
Actions
Phase 1: Context Collection
Skip this phase if shared_context is provided.
Glob**/*.swift— collect all Swift source files.Glob**/*.m— collect Objective-C source files.
Phase 2: Checks
-
Stranger communication features (12+ minimum)
Greppattern"message"|"chat"|"inbox"|"direct message"|"DM"|"send.*message"|"message.*stranger"in**/*.swift. If found and app enables communication with unknown users (not just friends/contacts) → 🟠 HIGH. Flag for 12+ age rating review. Reviewer will test whether strangers can contact each other. -
Alcohol or substance references (17+ consideration)
Greppattern"alcohol"|"beer"|"wine"|"spirits"|"liquor"|"cocktail"|"whiskey"in**/*.swift. If found as primary app theme or purchasable content → 🟠 HIGH. Flag for 17+ age rating consideration.
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.
- 7d ago First seen · 130 lines · 43 tokens per session scan A 91f152646863
age-rating-accuracy is a skill published in the GitHub repository cruisediary/apple-app-review-skills (16 stars, last pushed 4mo ago), licensed MIT. It adds 43 tokens to every session and 1,681 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 2026-09-05.
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