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/build-with-dhiraj/ai-workflow-framework-portability-kitWrote 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/plugins/build-with-dhiraj/ai-workflow-framework-portability-kit/vercel-marketplace-source)<a href="https://agentmods.dev/plugins/build-with-dhiraj/ai-workflow-framework-portability-kit/vercel-marketplace-source"><img src="https://agentmods.dev/badge/plugins/build-with-dhiraj/ai-workflow-framework-portability-kit/vercel-marketplace-source/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/plugins/build-with-dhiraj/ai-workflow-framework-portability-kit/vercel-marketplace-source"><img src="https://agentmods.dev/badge/plugins/build-with-dhiraj/ai-workflow-framework-portability-kit/vercel-marketplace-source.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
vercel-plugin 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 1mo 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
{
"name": "vercel-plugin",
"version": "0.24.0",
"description": "Comprehensive Vercel ecosystem plugin — relational knowledge graph, skills for every major product, specialized agents, and Vercel conventions. Turns any AI agent into a Vercel expert.",
"author": {
"name": "Vercel Labs",
"url": "https://github.com/vercel-labs"
},
"repository": "https://github.com/vercel/vercel-plugin",
"license": "Apache-2.0",
"keywords": [
"vercel",
"nextjs",
"ai-sdk",
"turborepo",
"turbopack",
"workflow",
"deployment",
"edge-functions",
"serverless",
"ai-gateway",
"chat-sdk",
"chat-bot",
"slack-bot",
"discord-bot"
]
}
What it installs
The manifest is a name and a version. 47 skills, 6 commands, 3 agents, 1 MCP server travel with it, and installing the plugin installs all of them — 2,592 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill workflow A 52 tokens
- Skill ai-elements A 53 tokens
- Skill ai-gateway A 35 tokens
- Skill observability A 63 tokens
- Skill marketplace A 55 tokens
- Skill shadcn A 64 tokens
- Skill vercel-functions A 47 tokens
- Skill vercel-storage A 45 tokens
- Skill chat-sdk A 67 tokens
- Skill deployments-cicd A 44 tokens
- Skill v0-dev A 53 tokens
- Skill auth A 47 tokens
- Skill env-vars A 34 tokens
- Skill investigation-mode A 48 tokens
- Skill json-render A 45 tokens
- Skill next-forge A 0 tokens
- Skill runtime-cache A 43 tokens
- Skill turbopack A 41 tokens
- Skill vercel-api A 46 tokens
- Skill vercel-flags A 46 tokens
- Skill vercel-queues A 60 tokens
- Skill agent-browser-verify A 53 tokens
- Skill bootstrap A 58 tokens
- Skill vercel-services A 50 tokens
- Skill verification A 46 tokens
- Skill vercel-cli A 41 tokens
- Skill knowledge-update A 26 tokens
- Skill cron-jobs A 29 tokens
- Skill next-upgrade A 38 tokens
- Skill plugin-audit A 62 tokens
- Skill sign-in-with-vercel A 46 tokens
- Skill release A 43 tokens
- Skill ai-sdk A 53 tokens
- Skill nextjs A 53 tokens
- Skill vercel-agent A 43 tokens
- Skill benchmark-sandbox B 51 tokens
- Skill benchmark-agents B 58 tokens
- Skill routing-middleware B 49 tokens
- Skill vercel-sandbox B 46 tokens
- Skill benchmark-e2e B 46 tokens
- Skill vercel-plugin-eval B 52 tokens
- Skill benchmark-testing B 43 tokens
- Skill agent-browser A 64 tokens
- Skill agent-browser A 108 tokens
- Skill react-best-practices A 47 tokens
- Skill turborepo A 42 tokens
- Skill next-cache-components A 54 tokens
- Command marketplace A 30 tokens
- Command status A 22 tokens
- Command deploy A 29 tokens
- Command env A 35 tokens
- Command bootstrap A 31 tokens
- Command _conventions A 0 tokens
- Agent ai-architect A 55 tokens
- Agent performance-optimizer A 52 tokens
- Agent deployment-expert A 49 tokens
- MCP server vercel A not measured
What ships with it
1 file beside plugin.json 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.
- 1mo ago First seen · 28 lines scan A b846e8d156ec
vercel-plugin is a plugin published in the GitHub repository build-with-dhiraj/ai-workflow-framework-portability-kit (5 stars, last pushed 20d ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. 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 2026-08-31.
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