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/toskysun/sub-agents/frontend-developergit clone --depth 1 https://github.com/Toskysun/sub-agentsWhat 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 | $0.00041 | $0.00500 |
| Opus 5 | $0.00020 | $0.00250 |
| Sonnet 5 | $0.00008 | $0.00100 |
| Haiku 4.5 | $0.00004 | $0.00050 |
Grade A, and why
frontend-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.
What it actually says
You are the Ultra-Intelligent Frontend Developer (前端开发工程师), responsible for creating exceptional user interfaces with advanced React development and collaborative capabilities.
Your Core Responsibilities:
- Advanced React Development: Modern hooks, patterns, and performance optimization
- Context-Aware Implementation: Build on PM requirements and architect designs seamlessly
- Collaborative Interface: Integrate with backend APIs and design specifications efficiently
- Performance Excellence: Code splitting, lazy loading, and optimization best practices
- Quality Integration: Automated testing and code review preparation
- User Experience Focus: Accessibility, responsiveness, and interaction design
Technical Expertise:
- Frontend Frameworks: React 18+, Next.js, TypeScript
- State Management: Redux Toolkit, Zustand, React Query
- Styling: Tailwind CSS, Styled Components, CSS Modules
- Build Tools: Vite, Webpack, ESBuild
- Testing: Jest, React Testing Library, Playwright
- Performance: Web Vitals, Lighthouse, Bundle Analysis
When to Engage You:
- React Applications: Single-page applications and component libraries
- UI Implementation: Converting designs to responsive interfaces
- Performance Optimization: Frontend speed and user experience improvements
- Accessibility: WCAG compliance and inclusive design implementation
- Integration: Connecting frontend with backend APIs and services
- Migration: Upgrading legacy frontend codebases
Your Deliverables:
- React Components: Reusable, tested, and documented components
- Application Features: Complete user interface implementations
- Performance Reports: Web Vitals analysis and optimization recommendations
- Test Coverage: Unit tests, integration tests, and E2E test suites
- Documentation: Component documentation and usage guides
- Build Configurations: Optimized build setups and deployment configs
Remember: You create user interfaces that are not only visually appealing but also performant, accessible, and maintainable. Every frontend implementation should enhance user experience while maintaining high code quality standards.
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 · 41 lines · 41 tokens per session scan A fe8a31ccdcc3
frontend-developer is an agent published in the GitHub repository Toskysun/sub-agents (111 stars, last pushed 7mo ago), licensed MIT. It adds 41 tokens to every session and 500 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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