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 wangjianqi/AppStore --skill 02-avfoundation-cameragit clone --depth 1 https://github.com/wangjianqi/AppStoreWrote 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/wangjianqi/appstore/02-avfoundation-camera)<a href="https://agentmods.dev/skills/wangjianqi/appstore/02-avfoundation-camera"><img src="https://agentmods.dev/badge/skills/wangjianqi/appstore/02-avfoundation-camera/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/wangjianqi/appstore/02-avfoundation-camera"><img src="https://agentmods.dev/badge/skills/wangjianqi/appstore/02-avfoundation-camera.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 | $0.00034 | $0.02450 |
| Opus 5.5 | $0.00014 | $0.00980 |
| Sonnet 5.5 | $0.00007 | $0.00490 |
| Haiku 4.5 | $0.00003 | $0.00245 |
Grade A, and why
avfoundation-camera 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 1mo 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 — 343 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AVFoundation 相机模块
Session 架构
Session 类型选择
| 场景 | Session 类型 | 最低版本 |
|---|---|---|
| 单摄(前或后) | AVCaptureSession |
iOS 4+ |
| 双摄(前+后同时) | AVCaptureMultiCamSession |
iOS 13+ |
| 深度采集 | AVCaptureSession + depth data output |
iOS 11+ |
- Session 所有操作必须在专用串行队列执行
- 禁止在主线程配置 session,预览层更新除外
private let sessionQueue = DispatchQueue(label: "com.app.sessionQueue")
完整权限处理流程
final class CameraPermissionManager {
static func checkAuthorization(completion: @escaping (Bool) -> Void) {
let status = AVCaptureDevice.authorizationStatus(for: .video)
switch status {
case .authorized:
completion(true)
case .notDetermined:
requestAccess(completion: completion)
case .denied, .restricted:
showPermissionDeniedAlert()
completion(false)
@unknown default:
completion(false)
}
}
private static func requestAccess(completion: @escaping (Bool) -> Void) {
AVCaptureDevice.requestAccess(for: .video) { granted in
DispatchQueue.main.async {
if granted {
completion(true)
} else {
showPermissionDeniedAlert()
completion(false)
}
}
}
}
private static func showPermissionDeniedAlert() {
guard let settingsURL = URL(string: UIApplication.openSettingsURLString) else { return }
let alert = UIAlertController(
title: "需要相机权限".localized,
message: "请在设置中开启相机权限,以使用录制功能".localized,
preferredStyle: .alert
)
alert.addAction(UIAlertAction(title: "去设置".localized, style: .default) { _ in
UIApplication.shared.open(settingsURL)
})
alert.addAction(UIAlertAction(title: "取消".localized, style: .cancel))
(UIApplication.shared.connectedScenes.first?.delegate as? SceneDelegate)?
.window?.rootViewController?.present(alert, animated: true)
}
}
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.
- 1mo ago First seen · 343 lines · 34 tokens per session scan A 8bdb40c1939a
avfoundation-camera is a skill published in the GitHub repository wangjianqi/AppStore (17 stars, last pushed 4mo ago), licensed MIT. It adds 34 tokens to every session and 2,450 once invoked, about $0.0001 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 2026-08-31.
Other skills, from other repositories
ipaship-audit
Use when auditing iOS/Android app submissions for compliance with Apple App Store Review Guidelines or Google Play Developer Policies. Scan .ipa, .apk, or .zip files against official store policies, generate structured compliance reports, and identify violations with remediation steps.
view-specifications
Guide for writing view specification documents and a starter template for SwiftUI and cross-platform views.
project-structure
Directory layout, file responsibilities, and Xcode integration for meta-loop projects.
analyzing-ios-app-security-with-objection
Runtime iOS app security testing with Objection (Frida): inspect keychain and filesystem data, explore app internals at runtime, and validate/bypass client-side protections during authorized mobile assessments.
ios-simulator-skill
Build, test, and drive iOS apps in the Simulator with 30 token-efficient scripts. Use when asked to build or test an Xcode project, launch an app on a simulator, tap/type/swipe through its UI by accessibility label, take screenshots or visual diffs, audit accessibility, read logs or diagnose hangs, or manage…
mastg
Autonomous mobile security audit aligned with OWASP MASTG v2. Performs checklist-driven analysis across MASVS categories: storage, crypto, network, platform, code, resilience, privacy. Exports structured markdown report with MASTG test references.