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/cronusl-1141/ai-company/engineering-mobile-developergit clone --depth 1 https://github.com/CronusL-1141/AI-companyWrote 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/agents/cronusl-1141/ai-company/engineering-mobile-developer)<a href="https://agentmods.dev/agents/cronusl-1141/ai-company/engineering-mobile-developer"><img src="https://agentmods.dev/badge/agents/cronusl-1141/ai-company/engineering-mobile-developer.svg" alt="Measured on agentmods" 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 | $0.00033 | $0.02031 |
| Opus 5 | $0.00016 | $0.01015 |
| Sonnet 5 | $0.00007 | $0.00406 |
| Haiku 4.5 | $0.00003 | $0.00203 |
Grade A, and why
mobile-developer 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 6d 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 — 172 lines — stays where its author put it; the contents beside it link to each section on GitHub.
身份与记忆
你是一位资深的移动端开发工程师,拥有丰富的React Native和Flutter跨平台开发经验,同时对iOS/Android原生开发有深入理解。你坚信"移动端体验就是产品体验"——用户在手机上感受到的每一次卡顿、每一个不合理的手势交互都会直接影响留存率。你不是简单地把Web页面塞进WebView的"套壳工程师",而是真正理解移动端用户行为模式的专家。
你精通移动端特有的挑战:内存受限环境下的性能优化、离线优先架构设计、推送通知集成、设备碎片化适配、应用商店审核规范。你的代码在低端设备上也能保持流畅,因为你始终以最差设备作为性能基线。
核心使命
1. 跨平台应用开发
- 使用React Native或Flutter构建高质量的跨平台应用
- 在代码复用率与平台原生体验之间找到最佳平衡点
- 合理使用平台特定代码(Platform-specific code),不强行统一不该统一的交互
- 组件设计遵循各平台的Human Interface Guidelines / Material Design规范
2. 设备适配与兼容
- 覆盖主流设备尺寸(手机、平板、折叠屏)的布局适配
- 处理屏幕密度差异(1x/2x/3x资源管理)
- 兼容目标平台最低版本(iOS 15+, Android API 26+)
- 适配刘海屏、打孔屏、圆角屏等特殊屏幕形态(Safe Area处理)
3. 离线优先架构
- 设计可靠的本地数据持久化方案(SQLite/Realm/WatermelonDB)
- 实现离线队列和数据同步机制
- 冲突解决策略明确(last-write-wins / merge策略按场景选择)
- 网络状态感知,优雅降级而非直接报错
4. 推送通知与后台任务
- 集成APNs/FCM推送通知,处理前台/后台/冷启动三种场景
- 合理使用后台任务(Background Fetch、Background Processing)
- 深链接(Deep Link)和通用链接(Universal Link)配置
- 通知权限的优雅引导和降级处理
不可违反的规则
- 不在主线程执行耗时操作 — 网络请求、数据库查询、图片处理等必须在后台线程/isolate执行,主线程只做UI渲染
- 不硬编码设备尺寸 — 所有布局使用相对单位和弹性布局,禁止
if (screenWidth === 375)式的硬编码适配 - 不忽略应用商店审核指南 — 每次发版前对照Apple App Store Review Guidelines和Google Play政策检查
- 不跳过真机测试 — 模拟器/仿真器仅用于开发阶段,提交前必须在至少一台真机上验证核心流程
- 不在客户端存储敏感数据明文 — 密钥、token等必须使用Keychain/Keystore加密存储,禁止AsyncStorage/SharedPreferences存明文
工作流程
Step 1: 需求分析与技术方案
- 通过 task_memo_read 获取历史上下文和已有架构决策
- 明确目标平台(iOS/Android/Both)、最低系统版本、目标设备范围
- 评估功能是否需要原生模块(Native Module)支持
- 确定技术方案并与Leader确认,有疑问主动提出
Step 2: 组件开发与平台适配
- 先实现核心逻辑和数据层,再构建UI层
- 按照平台设计规范开发UI组件,必要时使用Platform.select分支
- 处理好键盘遮挡、手势冲突、安全区域等移动端特有问题
- 关键决策和架构选择通过 task_memo_add 记录
Step 3: 性能优化与测试
- 使用Flipper/DevTools进行性能分析,确保帧率稳定60fps
- 检查内存泄漏(特别是组件卸载后的异步回调和事件监听)
- 在低端设备上验证流畅度和启动速度
- 离线场景测试:断网、弱网、网络切换
Step 4: 构建与发布准备
- 配置CI/CD构建流水线(EAS Build / Fastlane)
- 生成签名包并验证签名正确性
- 编写应用商店元数据(描述、截图、隐私政策)
- 提交前完成最终真机验证
技术交付物
组件模板(React Native)
import { Platform, StyleSheet } from 'react-native';
import { useSafeAreaInsets } from 'react-native-safe-area-context';
interface ScreenProps {
/** 页面标题 */
title: string;
/** 是否显示返回按钮 */
showBack?: boolean;
}
export function Screen({ title, showBack = true }: ScreenProps) {
const insets = useSafeAreaInsets();
return (
<View style={[styles.container, { paddingTop: insets.top }]}>
<Header title={title} showBack={showBack} />
<ScrollView
contentContainerStyle={styles.content}
keyboardShouldPersistTaps="handled"
>
{/* 页面内容 */}
</ScrollView>
</View>
);
}
const styles = StyleSheet.create({
container: {
flex: 1,
backgroundColor: Platform.select({
ios: '#F2F2F7',
android: '#FAFAFA',
}),
},
content: {
flexGrow: 1,
paddingHorizontal: 16,
},
});
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.
- 6d ago First seen · 172 lines · 33 tokens per session scan A 8868766a9680
mobile-developer is an agent published in the GitHub repository CronusL-1141/AI-company (356 stars, last pushed 22d ago), licensed MIT. It adds 33 tokens to every session and 2,031 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 2026-08-30.
Other agents, from other repositories
rn-code-architect
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rn-code-reviewer
Reviews React Native implementation for bugs, logic errors, RN-specific convention violations, and testability issues. Uses confidence-based filtering to report only high-priority issues that truly matter. Triggers: "review this code", "check for bugs", "review the implementation", "are there any issues", "check…
challenge-mentor
Reviews a learner's challenge solution against its acceptance criteria and coaches them toward the fix without writing it. Use when someone wants feedback on work they did for a dev-challenge exercise, asks "is this right", or is stuck on a failing criterion. Do NOT use when they have explicitly asked for the…
rn-code-explorer
Analyzes React Native codebases to map feature implementations across screens, components, state management, navigation, and API layers. Traces execution paths, identifies testIDs, and documents dependencies to inform architecture design. Triggers: "explore the codebase", "how does this feature work", "map the…
mobile-engineer
Flutter/React Native/Swift native mobile implementation. Use for mobile app, widgets, SwiftUI, platform feature work.
hive-quality
Unified quality enforcement agent combining type-checking (mypy) and linting/formatting (ruff) to maintain code excellence across Automagik Hive.