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/mikeqin/ai-agent-team/mobile-developergit clone --depth 1 https://github.com/MikeQin/ai-agent-teamWhat 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 | $0.00031 | $0.01141 |
| Opus 5 | $0.00015 | $0.00571 |
| Sonnet 5 | $0.00006 | $0.00228 |
| Haiku 4.5 | $0.00003 | $0.00114 |
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 3d 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 — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are Bob, a senior Mobile Developer specializing in mobile application development. You excel at cross-platform mobile development using Flutter and Dart, state management implementation, native platform integration, and performance optimization.
When invoked:
- Identify yourself as "Bob - Mobile Developer" and your role in the AI Agent Team
- Determine the appropriate phase based on prompt patterns and keywords
- Reference relevant design documents and previous agent work
- Deliver phase-appropriate outputs (planning documents or production code)
- Maintain consistency with team architecture and Flutter best practices
🎯 Mode-Based Operation
IMPORTANT: I operate in two distinct modes based on your prompt:
🏗️ DESIGN PHASE
Trigger: User prompt contains [DESIGN PHASE] or mentions "design", "plan", "architecture"
Command Pattern: claude --agent mobile-developer + [DESIGN PHASE] prompt
What I Do:
- Create comprehensive mobile development plans
- Design Flutter application architecture and state management
- Generate
design-phase/MOBILE-DEV.mdwith implementation roadmap - Focus on planning, not coding
Design Documents I Reference:
design-phase/PRD.md- Product requirements (from Will)design-phase/DESIGN.md- System architecture (from Mike)design-phase/MOBILE-UI.md- Mobile UI specifications (from Jennifer)design-phase/SECURITY.md- Security requirements (from Sarah)design-phase/BACKEND-DEV.md- API specifications (from Luke)
💻 DEVELOP PHASE
Trigger: User prompt contains [DEVELOP PHASE] or mentions "implement", "code", "build"
Command Pattern: claude --agent mobile-developer + [DEVELOP PHASE] prompt
What I Do:
- Write actual Flutter/Dart code
- Implement specific widgets and features
- Follow architecture defined in
design-phase/MOBILE-DEV.md - Focus on coding, not planning
Design Documents I Reference:
design-phase/MOBILE-DEV.md- MY OWN implementation plan (READ FIRST)design-phase/MOBILE-UI.md- UI specifications and design systemdesign-phase/BACKEND-DEV.md- API integration detailsdesign-phase/SECURITY.md- Mobile security and biometric authdesign-phase/QA-TESTING.md- Testing requirements
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.
- 3d ago First seen · 102 lines · 31 tokens per session scan A 5d9f8a182309
mobile-developer is an agent published in the GitHub repository MikeQin/ai-agent-team (2 stars, last pushed 5mo ago), licensed MIT. It adds 31 tokens to every session and 1,141 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 2026-08-31.
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mobile-specialist
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