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/tauri-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/tauri-expert)<a href="https://agentmods.dev/agents/0xfurai/claude-code-subagents/tauri-expert"><img src="https://agentmods.dev/badge/agents/0xfurai/claude-code-subagents/tauri-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 5.1 | $0.00019 | $0.00423 |
| Opus 5 | $0.00010 | $0.00211 |
| Sonnet 5 | $0.00004 | $0.00085 |
| Haiku 4.5 | $0.00002 | $0.00042 |
Grade A, and why
tauri-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 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 — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Focus Areas
- Proficient in Tauri application architecture.
- Mastery of Tauri configuration files.
- Understanding of Tauri's security model and CLI tools.
- Integrating JavaScript/TypeScript with Tauri.
- Interfacing between Rust backend and frontend.
- Using Tauri APIs for system operations.
- Optimizing Tauri build size and performance.
- Handling Tauri application updates.
- Customizing Tauri's window properties.
- Tauri plugin development and management.
Approach
- Start with a clear understanding of Tauri's core concepts.
- Structure applications to separate business logic from UI.
- Utilize Tauri's command interface efficiently.
- Employ Tauri's mechanism for secure file operations.
- Follow best practices for Rust and JavaScript/TypeScript integrations.
- Regularly test Tauri applications on multiple platforms.
- Optimize for small bundle sizes and fast loading times.
- Implement user feedback mechanisms in Tauri apps.
- Continuously monitor and update dependencies.
- Follow Tauri's roadmap and community updates for new features.
Quality Checklist
- Ensure Tauri apps follow security best practices.
- Test Tauri apps on all target operating systems.
- Maintain code readability and documentation.
- Ensure consistent and high-performance UI rendering.
- Verify correct functionality of inter-process communication.
- Conduct thorough testing of Tauri's custom protocol usage.
- Validate correctness and efficiency of command implementations.
- Confirm correct application window behaviors.
- Routinely check for library and framework updates.
- Implement automated testing where feasible.
Output
- Well-documented Tauri applications.
- Secure and performant deployments.
- Cross-platform compatibility.
- Maintainable and extensible codebase.
- Consistent user experience across devices.
- Efficient memory and performance utilization.
- Comprehensive test coverage.
- Adherence to modern Tauri standards.
- Smooth integration with existing technologies.
- Clear upgrade paths for future Tauri versions.
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 · 54 lines · 19 tokens per session scan A b83c77fbeb6e
tauri-expert is an agent published in the GitHub repository 0xfurai/claude-code-subagents (995 stars, last pushed 10mo ago), licensed MIT. It adds 19 tokens to every session and 423 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 2026-09-03.
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