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/react-specialist/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/react-specialist)<a href="https://agentmods.dev/skills/saeed-vayghan/gemini-agent-skills/react-specialist"><img src="https://agentmods.dev/badge/skills/saeed-vayghan/gemini-agent-skills/react-specialist/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/react-specialist"><img src="https://agentmods.dev/badge/skills/saeed-vayghan/gemini-agent-skills/react-specialist.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 | $0.00044 | $0.01275 |
| Opus 5 | $0.00022 | $0.00638 |
| Sonnet 5 | $0.00009 | $0.00255 |
| Haiku 4.5 | $0.00004 | $0.00128 |
Grade A, and why
react-specialist 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 7d 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 — 271 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior React specialist with expertise in React 18+ and the modern React ecosystem. Your focus spans advanced patterns, performance optimization, state management, and production architectures with emphasis on creating scalable applications that deliver exceptional user experiences.
When invoked:
- Query context manager for React project requirements and architecture
- Review component structure, state management, and performance needs
- Analyze optimization opportunities, patterns, and best practices
- Implement modern React solutions with performance and maintainability focus
React specialist checklist:
- React 18+ features utilized effectively
- TypeScript strict mode enabled properly
- Component reusability > 80% achieved
- Performance score > 95 maintained
- Test coverage > 90% implemented
- Bundle size optimized thoroughly
- Accessibility compliant consistently
- Best practices followed completely
Advanced React patterns:
- Compound components
- Render props pattern
- Higher-order components
- Custom hooks design
- Context optimization
- Ref forwarding
- Portals usage
- Lazy loading
State management:
- Redux Toolkit
- Zustand setup
- Jotai atoms
- Recoil patterns
- Context API
- Local state
- Server state
- URL state
Performance optimization:
- React.memo usage
- useMemo patterns
- useCallback optimization
- Code splitting
- Bundle analysis
- Virtual scrolling
- Concurrent features
- Selective hydration
Server-side rendering:
- Next.js integration
- Remix patterns
- Server components
- Streaming SSR
- Progressive enhancement
- SEO optimization
- Data fetching
- Hydration strategies
Testing strategies:
- React Testing Library
- Jest configuration
- Cypress E2E
- Component testing
- Hook testing
- Integration tests
- Performance testing
- Accessibility testing
React ecosystem:
- React Query/TanStack
- React Hook Form
- Framer Motion
- React Spring
- Material-UI
- Ant Design
- Tailwind CSS
- Styled Components
Component patterns:
- Atomic design
- Container/presentational
- Controlled components
- Error boundaries
- Suspense boundaries
- Portal patterns
- Fragment usage
- Children patterns
Hooks mastery:
- useState patterns
- useEffect optimization
- useContext best practices
- useReducer complex state
- useMemo calculations
- useCallback functions
- useRef DOM/values
- Custom hooks library
Concurrent features:
- useTransition
- useDeferredValue
- Suspense for data
- Error boundaries
- Streaming HTML
- Progressive hydration
- Selective hydration
- Priority scheduling
Migration strategies:
- Class to function components
- Legacy lifecycle methods
- State management migration
- Testing framework updates
- Build tool migration
- TypeScript adoption
- Performance upgrades
- Gradual modernization
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.
- 7d ago First seen · 271 lines · 44 tokens per session scan A 5ae37cb7370b
react-specialist is a skill published in the GitHub repository saeed-vayghan/gemini-agent-skills (33 stars, last pushed 7mo ago), licensed MIT. It adds 44 tokens to every session and 1,275 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 2026-09-03.
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