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 ashish7802/awesome-api-skills --skill upstash-ratelimitgit clone --depth 1 https://github.com/ashish7802/awesome-api-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/ashish7802/awesome-api-skills/upstash-ratelimit)<a href="https://agentmods.dev/skills/ashish7802/awesome-api-skills/upstash-ratelimit"><img src="https://agentmods.dev/badge/skills/ashish7802/awesome-api-skills/upstash-ratelimit/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/ashish7802/awesome-api-skills/upstash-ratelimit"><img src="https://agentmods.dev/badge/skills/ashish7802/awesome-api-skills/upstash-ratelimit.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 | $0.00000 | $0.00257 |
| Opus 5.5 | $0.00000 | $0.00103 |
| Sonnet 5.5 | $0.00000 | $0.00051 |
| Haiku 4.5 | $0.00000 | $0.00026 |
Grade A, and why
upstash-ratelimit 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 yesterday.
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
Upstash Ratelimit Skill
Overview
@upstash/ratelimit provides low-latency HTTP-based rate limiting (Fixed Window, Sliding Window, Token Bucket) designed for Cloudflare Workers, Vercel Edge Middleware, and serverless functions.
Installation
npm install @upstash/ratelimit @upstash/redis
AI Pitfalls
- Declare
Ratelimitat Module Scope: Declareconst ratelimit = new Ratelimit(...)outside the request function so theephemeralCacheMap persists across warm serverless invocations. - Await or
waitUntil(pending): Whenanalytics: trueis enabled,const { success, pending } = await ratelimit.limit(id)returns apendingPromise that must be passed toevent.waitUntil(pending).
Production Checklist
-
Ratelimitinstance declared at module top-level -
ephemeralCache: new Map()configured to save Redis calls when a client is already blocked - Returns HTTP
429 Too Many Requestswhen!success
Last Verified: 2026-10-21
What ships with it
2 files 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.
- yesterday First seen · 22 lines · 0 tokens per session scan A e331a1ee6eb6
upstash-ratelimit is a skill published in the GitHub repository ashish7802/awesome-api-skills (13 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 257 tokens. 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 2026-10-22.
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