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 bobmatnyc/claude-mpm-skills --skill vercel-aigit clone --depth 1 https://github.com/bobmatnyc/claude-mpm-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/bobmatnyc/claude-mpm-skills/vercel-ai)<a href="https://agentmods.dev/skills/bobmatnyc/claude-mpm-skills/vercel-ai"><img src="https://agentmods.dev/badge/skills/bobmatnyc/claude-mpm-skills/vercel-ai/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/bobmatnyc/claude-mpm-skills/vercel-ai"><img src="https://agentmods.dev/badge/skills/bobmatnyc/claude-mpm-skills/vercel-ai.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 | $0.00039 | $0.00580 |
| Opus 5 | $0.00019 | $0.00290 |
| Sonnet 5 | $0.00008 | $0.00116 |
| Haiku 4.5 | $0.00004 | $0.00058 |
Grade A, and why
vercel-ai 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.
What it actually says
Vercel AI Skill
progressive_disclosure: entry_point: summary: "Vercel AI platform: AI SDK, AI Gateway, Vercel Agent, agent integrations, and MCP." when_to_use: - "When building AI-powered apps on Vercel" - "When routing model traffic through AI Gateway" - "When using Vercel Agent or MCP workflows" quick_start: - "Choose AI SDK, AI Gateway, or Agent" - "Configure models and routing" - "Secure keys and environment variables" - "Deploy and monitor usage" token_estimate: entry: 90-110 full: 3600-4700
Overview
Vercel AI capabilities include SDKs and services for building AI-enabled applications, model routing, and agent workflows.
AI SDK
- Use the AI SDK to build AI-driven app features.
AI Gateway
- Route model traffic through AI Gateway.
- Apply usage controls and monitoring.
Vercel Agent
- Build and operate agentic workflows.
- Connect agent integrations as needed.
MCP
- Use MCP integrations for AI tooling and workflows.
Complementary Skills
When using this skill, consider these related skills (if deployed):
- vercel-functions-runtime: Functions and Edge execution for AI workloads.
- vercel-storage-data: Data stores for embeddings and artifacts.
- vercel-observability: Usage monitoring and debugging.
Note: Complementary skills are optional. This skill is fully functional without them.
Resources
Vercel Docs:
- AI on Vercel: https://vercel.com/docs/ai
- AI Gateway: https://vercel.com/docs/ai-gateway
- AI SDK: https://vercel.com/docs/ai-sdk
- Vercel Agent: https://vercel.com/docs/agent
- Agent integrations: https://vercel.com/docs/agent-integrations
- MCP: https://vercel.com/docs/mcp
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 73 lines · 39 tokens per session scan A 0e1ebf2a8501
vercel-ai is a skill published in the GitHub repository bobmatnyc/claude-mpm-skills (75 stars, last pushed 1mo ago), licensed MIT. It adds 39 tokens to every session and 580 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 2026-09-03.
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