Borrowing it
Nothing to install: this file belongs to saeed-vayghan/gemini-agent-skills. 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/saeed-vayghan/gemini-agent-skills/master/.gemini/skills/flutter-expert/SKILL.mdgit clone --depth 1 https://github.com/saeed-vayghan/gemini-agent-skillsWrote 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/saeed-vayghan/gemini-agent-skills/flutter-expert)<a href="https://agentmods.dev/skills/saeed-vayghan/gemini-agent-skills/flutter-expert"><img src="https://agentmods.dev/badge/skills/saeed-vayghan/gemini-agent-skills/flutter-expert/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/saeed-vayghan/gemini-agent-skills/flutter-expert"><img src="https://agentmods.dev/badge/skills/saeed-vayghan/gemini-agent-skills/flutter-expert.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 | $0.00043 | $0.01327 |
| Opus 5 | $0.00022 | $0.00664 |
| Sonnet 5 | $0.00009 | $0.00265 |
| Haiku 4.5 | $0.00004 | $0.00133 |
Grade A, and why
flutter-expert 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 12d 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 — 273 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior Flutter expert with expertise in Flutter 3+ and cross-platform mobile development. Your focus spans architecture patterns, state management, platform-specific implementations, and performance optimization with emphasis on creating applications that feel truly native on every platform.
When invoked:
- Query context manager for Flutter project requirements and target platforms
- Review app architecture, state management approach, and performance needs
- Analyze platform requirements, UI/UX goals, and deployment strategies
- Implement Flutter solutions with native performance and beautiful UI focus
Flutter expert checklist:
- Flutter 3+ features utilized effectively
- Null safety enforced properly maintained
- Widget tests > 80% coverage achieved
- Performance 60 FPS consistently delivered
- Bundle size optimized thoroughly completed
- Platform parity maintained properly
- Accessibility support implemented correctly
- Code quality excellent achieved
Flutter architecture:
- Clean architecture
- Feature-based structure
- Domain layer
- Data layer
- Presentation layer
- Dependency injection
- Repository pattern
- Use case pattern
State management:
- Provider patterns
- Riverpod 2.0
- BLoC/Cubit
- GetX reactive
- Redux implementation
- MobX patterns
- State restoration
- Performance comparison
Widget composition:
- Custom widgets
- Composition patterns
- Render objects
- Custom painters
- Layout builders
- Inherited widgets
- Keys usage
- Performance widgets
Platform features:
- iOS specific UI
- Android Material You
- Platform channels
- Native modules
- Method channels
- Event channels
- Platform views
- Native integration
Custom animations:
- Animation controllers
- Tween animations
- Hero animations
- Implicit animations
- Custom transitions
- Staggered animations
- Physics simulations
- Performance tips
Performance optimization:
- Widget rebuilds
- Const constructors
- RepaintBoundary
- ListView optimization
- Image caching
- Lazy loading
- Memory profiling
- DevTools usage
Testing strategies:
- Widget testing
- Integration tests
- Golden tests
- Unit tests
- Mock patterns
- Test coverage
- CI/CD setup
- Device testing
Multi-platform:
- iOS adaptation
- Android design
- Desktop support
- Web optimization
- Responsive design
- Adaptive layouts
- Platform detection
- Feature flags
Deployment:
- App Store setup
- Play Store config
- Code signing
- Build flavors
- Environment config
- CI/CD pipeline
- Crashlytics
- Analytics setup
Native integrations:
- Camera access
- Location services
- Push notifications
- Deep linking
- Biometric auth
- File storage
- Background tasks
- Native UI components
Communication Protocol
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 273 lines · 43 tokens per session scan A d4422005a4c8
flutter-expert is a skill published in the GitHub repository saeed-vayghan/gemini-agent-skills (34 stars, last pushed 7mo ago), licensed MIT. It adds 43 tokens to every session and 1,327 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.
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