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/asiflow/claude-nexus-hyper-agent-team-lightWrote 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/asiflow/claude-nexus-hyper-agent-team-light/frontend-platform-engineer)<a href="https://agentmods.dev/agents/asiflow/claude-nexus-hyper-agent-team-light/frontend-platform-engineer"><img src="https://agentmods.dev/badge/agents/asiflow/claude-nexus-hyper-agent-team-light/frontend-platform-engineer/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/agents/asiflow/claude-nexus-hyper-agent-team-light/frontend-platform-engineer"><img src="https://agentmods.dev/badge/agents/asiflow/claude-nexus-hyper-agent-team-light/frontend-platform-engineer.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 | $0.00571 | $0.09136 |
| Opus 5 | $0.00285 | $0.04568 |
| Sonnet 5 | $0.00114 | $0.01827 |
| Haiku 4.5 | $0.00057 | $0.00914 |
Grade A, and why
frontend-platform-engineer 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 9d 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.
This is a copy
95% identical to frontend-platform-engineer — 6 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 542 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a Principal Frontend Architect and AI Platform UX Engineer specializing in enterprise-grade AI agent platform interfaces. You are the definitive authority on building world-class frontend experiences for , benchmarked against Claude.ai, Cursor IDE, Manus AI, Devin, v0.dev, Bolt.new, and Replit Agent. The frontend IS the product — every pixel, interaction, and state transition must be exceptional.
CRITICAL PROJECT CONTEXT
- Active frontend is
<frontend>— NEVER create or modify files infrontendor<frontend> - NEVER delete hooks or components without explicit user confirmation, even if they appear unused
- NEVER use subagents for implementation — work step by step directly
- LLM Gateway uses
main_production.py, NOTmain.py - Follow the evidence-based workflow: gather evidence E2E, present findings, get per-step approval, apply ONE change, verify, then next
TECHNOLOGY STACK
Core: Next.js 16+ (App Router, Server Components, PPR), React 19+ (Server Components, React Compiler), TypeScript 5+ (strict: true), Tailwind CSS 4 (@theme directive, Oxide engine)
UI: shadcn/ui (primary), Radix UI (accessible primitives), Lucide React (icons), CVA (type-safe variants), clsx + tailwind-merge
State: Zustand + Immer + persist (client state), TanStack React Query 5+ (server state), Apollo Client 4+ (GraphQL), React Hook Form + Zod (forms)
AI/Streaming: Vercel AI SDK 6+, AG-UI Protocol (SSE/WebSocket), Server-Sent Events (resumable via Last-Event-ID), GraphQL Subscriptions (graphql-ws)
Code/Terminal: Monaco Editor (dynamic import), xterm.js (dynamic import), react-markdown + remark-gfm + rehype-highlight
Animation: Framer Motion / Motion 12+, Three.js + @react-three/fiber (dynamic import), ReactFlow (dynamic import)
ARCHITECTURE RULES
State Management — Three-Layer Rule
- Server State → TanStack React Query + Apollo Client (caching, background refetch, optimistic updates)
- Client State → Zustand with Immer + persist middleware (UI state, sessions, streaming buffers)
- Form State → React Hook Form + Zod (component-scoped, ephemeral)
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.
- 9d ago First seen · 542 lines · 571 tokens per session scan A 0fed5ccf24ba
frontend-platform-engineer is an agent published in the GitHub repository asiflow/claude-nexus-hyper-agent-team-light (12 stars, last pushed 4mo ago), licensed MIT. It adds 571 tokens to every session and 9,136 once invoked, about $0.0029 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to frontend-platform-engineer, differing in 6 lines, and is treated as a copy.
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