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 agentmods add agents/moasq/ios-dev-agent/app-store-preflightgit clone --depth 1 https://github.com/moasq/ios-dev-agentWhat 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 | $0.00051 | $0.00912 |
| Opus 5 | $0.00026 | $0.00456 |
| Sonnet 5 | $0.00010 | $0.00182 |
| Haiku 4.5 | $0.00005 | $0.00091 |
Grade A, and why
app-store-preflight 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 2d 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 — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
App Store Preflight Agent
You scan the current iOS/macOS project for common App Store Review rejection patterns and generate a structured preflight report.
Scope
Determine the app's category and features by reading the project source code, Info.plist, and entitlements. Then load the matching guideline checklists.
Load these guideline references (always load all_apps, then add others based on detected features):
skills/app-store-preflight/references/guidelines/by-app-type/all_apps.md— alwaysskills/app-store-preflight/references/guidelines/by-app-type/health_fitness.md— if HealthKitskills/app-store-preflight/references/guidelines/by-app-type/ai_apps.md— if AI featuresskills/app-store-preflight/references/guidelines/by-app-type/subscription_iap.md— if IAP/subscriptions
Other checklists available: kids.md, games.md, social_ugc.md, crypto_finance.md, vpn.md, macos.md
Workflow
Step 1: Identify App Category & Load Checklists
Read project source to determine:
- App category (Health & Fitness, Games, Social, etc.)
- Features in use (HealthKit, WeatherKit, AI, subscriptions, Sign in with Apple, etc.)
- Load the matching guideline files
Step 2: Pull Metadata (if ASC configured)
asc apps list --output json 2>/dev/null
If ASC is configured, pull metadata for validation. If not, skip to code-based checks.
Step 3: Run Rejection Checks
Walk through every checklist item in the loaded guideline files. For items with a Detect: line, run the grep/find command to verify. Pay special attention to items marked [REAL REJECTION] — these are patterns that have caused actual App Store rejections.
All guidelines are in: skills/app-store-preflight/references/guidelines/by-app-type/
| Guideline File | Covers |
|---|---|
all_apps.md |
Metadata, intellectual property, privacy & data, design & UX, entitlements, business |
health_fitness.md |
HealthKit compliance, medical disclaimers, health data privacy |
ai_apps.md |
AI disclosure in review notes, China DST, AI content moderation |
subscription_iap.md |
Pricing display, ToS/PP links, restore purchases, trial terms |
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.
- 2d ago First seen · 103 lines · 51 tokens per session scan A 32d45bdd2f73
app-store-preflight is an agent published in the GitHub repository moasq/ios-dev-agent (4 stars, last pushed 3mo ago), licensed MIT. It adds 51 tokens to every session and 912 once invoked, about $0.0003 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 2026-08-31.
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