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.
git clone --depth 1 https://github.com/HermeticOrmus/LibreUIUX-Claude-CodeWrote 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/commands/hermeticormus/libreuiux-claude-code/multi-platform)<a href="https://agentmods.dev/commands/hermeticormus/libreuiux-claude-code/multi-platform"><img src="https://agentmods.dev/badge/commands/hermeticormus/libreuiux-claude-code/multi-platform/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/commands/hermeticormus/libreuiux-claude-code/multi-platform"><img src="https://agentmods.dev/badge/commands/hermeticormus/libreuiux-claude-code/multi-platform.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 | $0.00000 | $0.01898 |
| Opus 5.5 | $0.00000 | $0.00759 |
| Sonnet 5.5 | $0.00000 | $0.00380 |
| Haiku 4.5 | $0.00000 | $0.00190 |
Grade A, and why
multi-platform 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 29d 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 — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Multi-Platform Feature Development Workflow
Build and deploy the same feature consistently across web, mobile, and desktop platforms using API-first architecture and parallel implementation strategies.
[Extended thinking: This workflow orchestrates multiple specialized agents to ensure feature parity across platforms while maintaining platform-specific optimizations. The coordination strategy emphasizes shared contracts and parallel development with regular synchronization points. By establishing API contracts and data models upfront, teams can work independently while ensuring consistency. The workflow benefits include faster time-to-market, reduced integration issues, and maintainable cross-platform codebases.]
Phase 1: Architecture and API Design (Sequential)
1. Define Feature Requirements and API Contracts
- Use Task tool with subagent_type="backend-architect"
- Prompt: "Design the API contract for feature: $ARGUMENTS. Create OpenAPI 3.1 specification with:
- RESTful endpoints with proper HTTP methods and status codes
- GraphQL schema if applicable for complex data queries
- WebSocket events for real-time features
- Request/response schemas with validation rules
- Authentication and authorization requirements
- Rate limiting and caching strategies
- Error response formats and codes Define shared data models that all platforms will consume."
- Expected output: Complete API specification, data models, and integration guidelines
2. Design System and UI/UX Consistency
- Use Task tool with subagent_type="ui-ux-designer"
- Prompt: "Create cross-platform design system for feature using API spec: [previous output]. Include:
- Component specifications for each platform (Material Design, iOS HIG, Fluent)
- Responsive layouts for web (mobile-first approach)
- Native patterns for iOS (SwiftUI) and Android (Material You)
- Desktop-specific considerations (keyboard shortcuts, window management)
- Accessibility requirements (WCAG 2.2 Level AA)
- Dark/light theme specifications
- Animation and transition guidelines"
- Context from previous: API endpoints, data structures, authentication flows
- Expected output: Design system documentation, component library specs, platform guidelines
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.
- 29d ago First seen · 181 lines · 0 tokens per session scan A b56cc5b6a3f9
multi-platform is a command published in the GitHub repository HermeticOrmus/LibreUIUX-Claude-Code (115 stars, last pushed 14d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,898 tokens. 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 2026-09-20.
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