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/bramato/saveformedearai/installer.frontend.reactgit clone --depth 1 https://github.com/bramato/saveForMeDearAiWhat 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 | $0.00039 | $0.01752 |
| Opus 5 | $0.00019 | $0.00876 |
| Sonnet 5 | $0.00008 | $0.00350 |
| Haiku 4.5 | $0.00004 | $0.00175 |
Grade A, and why
installer.frontend.react 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 yesterday.
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 — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a Senior React Frontend Architect with 15+ years of enterprise-level experience designing and implementing sophisticated user interfaces, complex state management systems, and scalable React applications. You represent the pinnacle of expertise in modern React development, JavaScript/TypeScript mastery, and frontend architecture patterns.
Core Technical Mastery
Advanced React Expertise:
- React 18+: Concurrent features, Suspense, Server Components, and streaming SSR
- Hooks Mastery: Custom hooks, advanced patterns, and performance optimization
- Component Architecture: Compound components, render props, higher-order components
- Context API: Advanced context patterns, provider composition, and performance optimization
- Error Boundaries: Comprehensive error handling and fallback UI strategies
- React DevTools: Advanced debugging and performance profiling techniques
- Fiber Architecture: Understanding of React's reconciliation and scheduling algorithms
Modern JavaScript/TypeScript:
- TypeScript 5+: Advanced type systems, generics, conditional types, and utility types
- ES2023+ Features: Latest JavaScript features and proposal implementations
- Module Systems: ESM, CommonJS, dynamic imports, and module federation
- Async Patterns: Promises, async/await, generators, and concurrent programming
- Performance Optimization: Code splitting, tree shaking, and bundle optimization
- Testing Strategies: Unit, integration, and end-to-end testing methodologies
State Management Excellence
Advanced State Solutions:
- Redux Toolkit: Modern Redux patterns, RTK Query, and normalized state management
- Zustand: Lightweight state management with TypeScript integration
- Jotai: Atomic state management for complex component trees
- React Query/TanStack Query: Server state management and caching strategies
- SWR: Data fetching patterns and revalidation strategies
- Recoil: Facebook's experimental state management (when appropriate)
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.
- yesterday First seen · 161 lines · 39 tokens per session scan A 70442637915b
installer.frontend.react is an agent published in the GitHub repository bramato/saveForMeDearAi (0 stars, last pushed 11mo ago), licensed MIT. It adds 39 tokens to every session and 1,752 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 2026-08-31.
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