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 build-with-dhiraj/ai-workflow-framework-portability-kit --skill vercel-storagegit 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/skills/build-with-dhiraj/ai-workflow-framework-portability-kit/vercel-storage)<a href="https://agentmods.dev/skills/build-with-dhiraj/ai-workflow-framework-portability-kit/vercel-storage"><img src="https://agentmods.dev/badge/skills/build-with-dhiraj/ai-workflow-framework-portability-kit/vercel-storage/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/build-with-dhiraj/ai-workflow-framework-portability-kit/vercel-storage"><img src="https://agentmods.dev/badge/skills/build-with-dhiraj/ai-workflow-framework-portability-kit/vercel-storage.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 | $0.00045 | $0.05484 |
| Opus 5.5 | $0.00018 | $0.02194 |
| Sonnet 5.5 | $0.00009 | $0.01097 |
| Haiku 4.5 | $0.00005 | $0.00548 |
Grade A, and why
vercel-storage 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.
How it starts
The opening of the file, as written. The whole thing — 527 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Vercel Storage
You are an expert in Vercel's storage options. Know which products are active, which are sunset, and when to use each.
Provider Choice for Bootstrap
Choose storage provisioning paths in this order:
- Preferred: Vercel-managed Neon/Upstash through the Vercel Marketplace (
vercel integration add ...or dashboard). This path auto-provisions accounts/resources and injects environment variables into the linked Vercel project. - Fallback: Provider CLI/manual provisioning only when Marketplace is unavailable or you must use an existing external account.
When using fallback/manual provisioning, you must add/sync environment variables yourself and then re-run vercel env pull .env.local --yes locally.
Active First-Party Storage
Vercel Blob — File Storage
Fast, scalable storage for unstructured data (images, videos, documents, any files).
npm install @vercel/blob
import { put, del, list, get } from '@vercel/blob'
// Upload from server (public)
const blob = await put('images/photo.jpg', file, {
access: 'public',
})
// blob.url → public URL
// Upload private file
const privateBlob = await put('docs/secret.pdf', file, {
access: 'private',
})
// Read private file back
const privateFile = await get(privateBlob.url) // returns ReadableStream + metadata
// Client upload (up to 5 TB)
import { upload } from '@vercel/blob/client'
const blob = await upload('video.mp4', file, {
access: 'public',
handleUploadUrl: '/api/upload', // Your token endpoint
})
// List blobs
const { blobs } = await list()
// Conditional get with ETags
const response = await get('images/photo.jpg', {
ifNoneMatch: previousETag,
})
if (response.statusCode === 304) {
// Not modified, use cached version
}
// Delete
await del('images/photo.jpg')
Private Storage (public beta): Use access: 'private' for files that should not be publicly accessible. Read them back with get(). Do NOT use private access for files that need to be served publicly — it leads to slow delivery and high egress costs.
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 · 527 lines · 45 tokens per session scan A 9365181d8195
vercel-storage is a skill published in the GitHub repository build-with-dhiraj/ai-workflow-framework-portability-kit (5 stars, last pushed 20d ago), licensed MIT. It adds 45 tokens to every session and 5,484 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-21.
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