Full-lifecycle Apple App Store review for iOS and iPadOS apps. Use for pre-submission audits, rejection diagnosis and Resolution Center replies, Guideline 4.3 spam or similarity recovery, human-craft and low-effort audits, App Review Notes, privacy manifests, Info.plist permission strings, subscriptions, Sign in with Apple, account deletion, UGC, third-party AI consent, TestFlight or App Store readiness, and vague requests such as "review my app" or "will Apple approve this" when an Xcode, Expo, React Native, or Flutter project is present. Produces evidence-tagged Markdown, JSON, and a self-contained visual HTML report, runs a read-only deterministic scan first, and only offers grouped fixes after the report.
97
97%
Does it follow best practices?
Impact
98%
2.08xAverage score across 4 eval scenarios
Low
Low-risk findings worth noting
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
In `scripts/app_store_review_scan.py`, the runtime workflow reads untrusted outsider-authored free text from user-provided repository/metadata files (e.g., `--metadata`/`fastlane/metadata` and all matched `TEXT_SUFFIXES`) via `safe_read_text()` and stores the contents for scanning.