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 runtime-cachegit 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/runtime-cache)<a href="https://agentmods.dev/skills/build-with-dhiraj/ai-workflow-framework-portability-kit/runtime-cache"><img src="https://agentmods.dev/badge/skills/build-with-dhiraj/ai-workflow-framework-portability-kit/runtime-cache/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/runtime-cache"><img src="https://agentmods.dev/badge/skills/build-with-dhiraj/ai-workflow-framework-portability-kit/runtime-cache.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 | $0.00043 | $0.02307 |
| Opus 5.5 | $0.00017 | $0.00923 |
| Sonnet 5.5 | $0.00009 | $0.00461 |
| Haiku 4.5 | $0.00004 | $0.00231 |
Grade A, and why
runtime-cache scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
async fetch(request: Request) { How it starts
The opening of the file, as written. The whole thing — 283 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Vercel Runtime Cache API
You are an expert in the Vercel Runtime Cache — an ephemeral caching layer for serverless compute.
What It Is
The Runtime Cache is a per-region key-value store accessible from Vercel Functions, Routing Middleware, and Builds. It supports tag-based invalidation for granular cache control.
- Regional: Each Vercel region has its own isolated cache
- Isolated: Scoped per project AND per deployment environment (
previewvsproduction) - Persistent across deployments: Cached data survives new deploys; invalidation via TTL or
expireTag - Ephemeral: Fixed storage limit per project; LRU eviction when full
- Framework-agnostic: Works with any framework via
@vercel/functions
Key APIs
All APIs from @vercel/functions:
Basic Cache Operations
import { getCache } from '@vercel/functions';
const cache = getCache();
// Store data with TTL and tags
await cache.set('user:123', userData, {
ttl: 3600, // seconds
tags: ['users', 'user:123'], // for bulk invalidation
name: 'user-profile', // human-readable label for observability
});
// Retrieve cached data (returns value or undefined)
const data = await cache.get('user:123');
// Delete a specific key
await cache.delete('user:123');
// Expire all entries with a tag (propagates globally within 300ms)
await cache.expireTag('users');
await cache.expireTag(['users', 'user:123']); // multiple tags
Cache Options
const cache = getCache({
namespace: 'api', // prefix for keys
namespaceSeparator: ':', // separator (default)
keyHashFunction: (key) => sha256(key), // custom key hashing
});
Full Example (Framework-Agnostic)
import { getCache } from '@vercel/functions';
export default {
async fetch(request: Request) {
const cache = getCache();
const cached = await cache.get('blog-posts');
if (cached) {
return Response.json(cached);
}
const posts = await fetch('https://api.example.com/posts').then(r => r.json());
await cache.set('blog-posts', posts, {
ttl: 3600,
tags: ['blog'],
});
return Response.json(posts);
},
};
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 · 283 lines · 43 tokens per session scan A 22fb4be9b3b2
runtime-cache 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 43 tokens to every session and 2,307 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-21.
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