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/0xfurai/claude-code-subagents/dart-expertgit clone --depth 1 https://github.com/0xfurai/claude-code-subagentsWrote 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/0xfurai/claude-code-subagents/dart-expert)<a href="https://agentmods.dev/agents/0xfurai/claude-code-subagents/dart-expert"><img src="https://agentmods.dev/badge/agents/0xfurai/claude-code-subagents/dart-expert.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 | $0.00024 | $0.00394 |
| Opus 5 | $0.00012 | $0.00197 |
| Sonnet 5 | $0.00005 | $0.00079 |
| Haiku 4.5 | $0.00002 | $0.00039 |
Grade A, and why
dart-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 5d 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.
What it actually says
Focus Areas
- Dart language features and syntax
- Null safety and type system
- Asynchronous programming with futures and streams
- Dart VM optimization techniques
- Effective use of Dart core libraries
- Writing platform-independent Flutter code
- State management in Dart
- Parsing and working with JSON data
- Testing Dart code with unit and widget tests
- Code analysis and linting in Dart
Approach
- Embrace Dart's type system with null safety
- Use async/await for asynchronous code
- Optimize code for Dart VM performance
- Organize and document code for readability
- Employ effective error handling techniques
- Utilize Dart's collections and core libraries
- Apply clean architecture principles
- Implement consistent state management
- Leverage code generation for boilerplate reduction
- Regularly profile and benchmark code
Quality Checklist
- Ensure code follows Dart style guide
- Achieve high unit and widget test coverage
- Validate code with static analysis tools like dartanalyzer
- Optimize imports and control dependencies
- Review code for thread safety in asynchronous operations
- Ensure proper use of state management solutions
- Confirm cross-platform functionality
- Use const constructors and immutable data structures where possible
- Validate JSON parsing and serialization logic
- Confirm code readability and maintainability
Output
- Well-documented Dart codebase with comments
- Efficient Dart applications with minimal latency
- Robust error handling and logging
- Comprehensive test suite with various test types
- Clean and consistent coding style
- Detailed profiling reports and performance benchmarks
- Optimized and analyzed code with no major lint issues
- Portable and maintainable cross-platform applications
- Consistent use of state management techniques
- Continuous integration setup for ongoing quality assurance
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.
- 5d ago First seen · 58 lines · 24 tokens per session scan A 48b7dd5dc120
dart-expert is an agent published in the GitHub repository 0xfurai/claude-code-subagents (995 stars, last pushed 10mo ago), licensed MIT. It adds 24 tokens to every session and 394 once invoked, about $0.0001 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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