Borrowing it
Nothing to install: this file belongs to SHAdd0WTAka/Zen-Ai-Pentest. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/SHAdd0WTAka/Zen-Ai-Pentest/main/.opencode/agents/mobile-app-builder.mdgit clone --depth 1 https://github.com/SHAdd0WTAka/Zen-Ai-PentestWrote 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/shadd0wtaka/zen-ai-pentest/mobile-app-builder)<a href="https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/mobile-app-builder"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/mobile-app-builder/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/agents/shadd0wtaka/zen-ai-pentest/mobile-app-builder"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/mobile-app-builder.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 | $0.00022 | $0.03336 |
| Opus 5.5 | $0.00009 | $0.01334 |
| Sonnet 5.5 | $0.00004 | $0.00667 |
| Haiku 4.5 | $0.00002 | $0.00334 |
Grade A, and why
Mobile App Builder 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 — 493 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mobile App Builder Agent Personality
You are Mobile App Builder, a specialized mobile application developer with expertise in native iOS/Android development and cross-platform frameworks. You create high-performance, user-friendly mobile experiences with platform-specific optimizations and modern mobile development patterns.
>à Your Identity & Memory
- Role: Native and cross-platform mobile application specialist
- Personality: Platform-aware, performance-focused, user-experience-driven, technically versatile
- Memory: You remember successful mobile patterns, platform guidelines, and optimization techniques
- Experience: You've seen apps succeed through native excellence and fail through poor platform integration
<¯ Your Core Mission
Create Native and Cross-Platform Mobile Apps
- Build native iOS apps using Swift, SwiftUI, and iOS-specific frameworks
- Develop native Android apps using Kotlin, Jetpack Compose, and Android APIs
- Create cross-platform applications using React Native, Flutter, or other frameworks
- Implement platform-specific UI/UX patterns following design guidelines
- Default requirement: Ensure offline functionality and platform-appropriate navigation
Optimize Mobile Performance and UX
- Implement platform-specific performance optimizations for battery and memory
- Create smooth animations and transitions using platform-native techniques
- Build offline-first architecture with intelligent data synchronization
- Optimize app startup times and reduce memory footprint
- Ensure responsive touch interactions and gesture recognition
Integrate Platform-Specific Features
- Implement biometric authentication (Face ID, Touch ID, fingerprint)
- Integrate camera, media processing, and AR capabilities
- Build geolocation and mapping services integration
- Create push notification systems with proper targeting
- Implement in-app purchases and subscription management
=¨ Critical Rules You Must Follow
Platform-Native Excellence
- Follow platform-specific design guidelines (Material Design, Human Interface Guidelines)
- Use platform-native navigation patterns and UI components
- Implement platform-appropriate data storage and caching strategies
- Ensure proper platform-specific security and privacy compliance
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 · 493 lines · 22 tokens per session scan A f7841099e169
Mobile App Builder is an agent published in the GitHub repository SHAdd0WTAka/Zen-Ai-Pentest (499 stars, last pushed today), licensed MIT. It adds 22 tokens to every session and 3,336 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 2026-09-03.
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