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 skills add roedyrustam/vibes-plug --skill vercel-ai-sdk-expertgit clone --depth 1 https://github.com/roedyrustam/vibes-plugWrote 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/roedyrustam/vibes-plug/vercel-ai-sdk-expert)<a href="https://agentmods.dev/skills/roedyrustam/vibes-plug/vercel-ai-sdk-expert"><img src="https://agentmods.dev/badge/skills/roedyrustam/vibes-plug/vercel-ai-sdk-expert/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/roedyrustam/vibes-plug/vercel-ai-sdk-expert"><img src="https://agentmods.dev/badge/skills/roedyrustam/vibes-plug/vercel-ai-sdk-expert.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 | $0.00076 | $0.02080 |
| Opus 5 | $0.00038 | $0.01040 |
| Sonnet 5 | $0.00015 | $0.00416 |
| Haiku 4.5 | $0.00008 | $0.00208 |
Grade A, and why
vercel-ai-sdk-expert 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 today.
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 — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Vercel AI SDK Expert (Core, UI & Fullstack AI Engineering)
English
Orchestration & Integration
Connects and orchestrates with domain skills like senior-frontend, nextjs-app-router-expert, ai-llm-integration-expert, ui-components-expert, and multi-agent-orchestration to deliver reactive, streaming AI interfaces.
Description
Production-grade guide for building AI applications using the Vercel AI SDK (Core & UI). Covers unified model provider abstraction (@ai-sdk/anthropic, @ai-sdk/openai, @ai-sdk/google), streaming text and structured objects (streamText, streamObject), dynamic multi-step tool execution loops with maxSteps, client-side React 19 hooks (useChat, useCompletion), streaming data attachments (createDataStreamResponse), and generative UI rendering.
Swarm Synergy: Within the Frontend & UI Swarm, this skill serves as the AI UI Presentation Lead. It translates complex backend multi-agent outputs and streaming tokens into accessible, beautiful web components in Phase 4 & Phase 5.
Trigger Conditions
- Integrating conversational chat, streaming completions, or generative UI in React 19 / Next.js 15.
- Implementing structured data extraction using
generateObjectorstreamObjectwith Zod schemas. - Building autonomous multi-step tool-calling loops on Next.js Route Handlers or Server Actions.
- Switching seamlessly across frontier providers (Claude 3.7 Sonnet, Gemini 3.8 Flash, OpenAI o3/GPT-4.5, Ollama).
- Building streaming data channels with custom metadata, tool status indicators, and citations.
Vercel AI SDK Architecture (Core vs UI)
┌─────────────────────────────────────────────────────────────┐
│ CLIENT LAYER │
│ useChat / useCompletion / Generative UI React Components │
│ • Optimistic updates • Stream reader • Tool invocation │
└──────────────────────────────▲──────────────────────────────┘
│ HTTP SSE / Data Stream Protocol
┌──────────────────────────────▼──────────────────────────────┐
│ SERVER ROUTE / ACTION │
│ streamText({ │
│ model: anthropic('claude-3-7-sonnet-20250219'), │
│ tools: { weatherTool, dbQueryTool }, │
│ maxSteps: 5, │
│ }).toDataStreamResponse() │
└─────────────────────────────────────────────────────────────┘
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.
- today First seen · 182 lines · 76 tokens per session scan A d58896bc3724
vercel-ai-sdk-expert is a skill published in the GitHub repository roedyrustam/vibes-plug (53 stars, last pushed today), licensed MIT. It adds 76 tokens to every session and 2,080 once invoked, about $0.0004 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 2026-09-12.
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