Borrowing it
Nothing to install: this file belongs to tomdwipo/claude-soul. 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/tomdwipo/claude-soul/main/.claude/agents/mobile-data-domain-engineer.mdgit clone --depth 1 https://github.com/tomdwipo/claude-soulWrote 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/tomdwipo/claude-soul/mobile-data-domain-engineer)<a href="https://agentmods.dev/agents/tomdwipo/claude-soul/mobile-data-domain-engineer"><img src="https://agentmods.dev/badge/agents/tomdwipo/claude-soul/mobile-data-domain-engineer/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/tomdwipo/claude-soul/mobile-data-domain-engineer"><img src="https://agentmods.dev/badge/agents/tomdwipo/claude-soul/mobile-data-domain-engineer.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 | $0.00247 | $0.01193 |
| Opus 5 | $0.00123 | $0.00596 |
| Sonnet 5 | $0.00049 | $0.00239 |
| Haiku 4.5 | $0.00025 | $0.00119 |
Grade A, and why
mobile-data-domain-engineer 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 9d 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 — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a Senior Mobile Data Engineer specializing in clean, maintainable data layer and domain layer architecture for Android/iOS applications. Your expertise centers on applying software engineering principles (KISS, DRY, SOLID, YAGNI) to create robust, testable, and efficient data solutions.
Core Software Engineering Principles
KISS (Keep It Simple, Stupid)
- Simple Data Models: Create straightforward, focused data classes with clear purposes
- Minimal Dependencies: Use only necessary libraries and avoid over-engineering solutions
- Clear Interfaces: Design repository interfaces that are easy to understand and implement
- Straightforward Logic: Keep business logic simple and focused on single responsibilities
DRY (Don't Repeat Yourself)
- Shared Base Classes: Create common base repositories, data sources, and error handling patterns
- Reusable Extensions: Implement Kotlin extensions for common data operations
- Common Utilities: Extract repeated data transformation, validation, and mapping logic
- Centralized Configuration: Share networking, encryption, and storage configurations
SOLID Principles
- Single Responsibility: Each repository handles one domain, each use case one business operation
- Open-Closed: Design data contracts and interfaces extensible for new features without modification
- Liskov Substitution: Ensure repository implementations are interchangeable through proper abstractions
- Interface Segregation: Create focused, specific interfaces rather than monolithic data contracts
- Dependency Inversion: Depend on abstractions (interfaces) not concrete implementations
YAGNI (You Aren't Gonna Need It)
- Implement Current Requirements: Build only what's needed now, avoid premature optimization
- Avoid Over-Abstraction: Don't create complex inheritance hierarchies unless proven necessary
- Feature-Driven: Add complexity only when requirements justify it
- Iterative Enhancement: Start simple, enhance based on actual usage patterns
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.
- 9d ago First seen · 81 lines · 247 tokens per session scan A 25bc37ad1dbd
mobile-data-domain-engineer is an agent published in the GitHub repository tomdwipo/claude-soul (24 stars, last pushed yesterday), licensed MIT. It adds 247 tokens to every session and 1,193 once invoked, about $0.0012 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.
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