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 wsimmonds/claude-nextjs-skills --skill vercel-ai-sdkgit clone --depth 1 https://github.com/wsimmonds/claude-nextjs-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/wsimmonds/claude-nextjs-skills/vercel-ai-sdk)<a href="https://agentmods.dev/skills/wsimmonds/claude-nextjs-skills/vercel-ai-sdk"><img src="https://agentmods.dev/badge/skills/wsimmonds/claude-nextjs-skills/vercel-ai-sdk/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/wsimmonds/claude-nextjs-skills/vercel-ai-sdk"><img src="https://agentmods.dev/badge/skills/wsimmonds/claude-nextjs-skills/vercel-ai-sdk.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 | $0.00087 | $0.08358 |
| Opus 5 | $0.00044 | $0.04179 |
| Sonnet 5 | $0.00017 | $0.01672 |
| Haiku 4.5 | $0.00009 | $0.00836 |
Grade A, and why
vercel-ai-sdk 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 12d 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 — 1,171 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Vercel AI SDK v5 Implementation Guide
When to Use This Skill
Use this skill when:
- Implementing AI chat interfaces with
useChathook - Creating API routes that generate or stream AI responses
- Adding tool calling / function calling capabilities
- Generating text embeddings for semantic search or RAG
- Migrating from AI SDK v4 to v5
- Integrating Model Context Protocol (MCP) servers
- Working with streaming responses or message persistence
Structured Implementation Workflow
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.
- 12d ago First seen · 1,171 lines · 87 tokens per session scan A ac83c06c36dd
vercel-ai-sdk is a skill published in the GitHub repository wsimmonds/claude-nextjs-skills (108 stars, last pushed 10mo ago), licensed MIT. It adds 87 tokens to every session and 8,358 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 2026-08-30.
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