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 uptimerobot/ai --skill quick-monitor-setupgit clone --depth 1 https://github.com/uptimerobot/aiWrote 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/uptimerobot/ai/quick-monitor-setup)<a href="https://agentmods.dev/skills/uptimerobot/ai/quick-monitor-setup"><img src="https://agentmods.dev/badge/skills/uptimerobot/ai/quick-monitor-setup/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/uptimerobot/ai/quick-monitor-setup"><img src="https://agentmods.dev/badge/skills/uptimerobot/ai/quick-monitor-setup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00089 | $0.01103 |
| Opus 5 | $0.00044 | $0.00551 |
| Sonnet 5 | $0.00018 | $0.00221 |
| Haiku 4.5 | $0.00009 | $0.00110 |
Grade A, and why
quick-monitor-setup 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 11d 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 — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Quick monitor setup (no account, email-only)
No MCP preflight needed. Unlike the other UptimeRobot skills, this one does NOT use the
uptimerobot:*MCP tools and does NOT require the user to authenticate. It is the path for when the user has no UptimeRobot account or API key. If the user IS already connected via the MCP server, prefercreate-http-monitorinstead.
Use this when a user says something like "monitor my site and email me if it goes down" but has no UptimeRobot account or API key. You (the agent) do steps 1-4; the site owner does step 5 from their inbox. The result is the standard free plan: 50 monitors, 5-minute checks, free forever, no credit card.
The only thing the owner must provide is the email where down and up alerts go. Use an inbox they actually check.
Base URL
https://api.uptimerobot.com
Step 1: Request a proof-of-work challenge
GET /agentic/agent-monitor/challenge?email=<owner-email>&url=<site>
url: the website to monitor. A bare domain works (www.example.com);https://is assumed if you omit the scheme, soexample.comis treated ashttps://example.com. Give an explicithttp://only if you specifically need plain HTTP.- Returns:
{ "nonce": "<hex>", "timestamp": <ms>, "difficulty": <bits>, "signature": "<hex>" }. - Read
difficultyfrom the response. Never hardcode it.
Step 2: Solve the proof of work
Find a counter such that SHA-256("<nonce>|<counter>") has at least difficulty leading zero bits (pipe-separated, no spaces).
import hashlib
counter = 0
while True:
h = hashlib.sha256(f"{nonce}|{counter}".encode()).digest()
zeros = 0
for b in h:
if b == 0:
zeros += 8
else:
zeros += 8 - b.bit_length()
break
if zeros >= difficulty:
break
counter += 1
Step 3: Submit the monitor request
POST /agentic/agent-monitor
Content-Type: application/json
{
"email": "<owner-email>",
"url": "<same url you sent in step 1>",
"nonce": "<from challenge>",
"timestamp": <from challenge>,
"counter": <your solution>,
"signature": "<from challenge>"
}
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.
- 11d ago First seen · 97 lines · 89 tokens per session scan A d220ca7bdd34
quick-monitor-setup is a skill published in the GitHub repository uptimerobot/ai (24 stars, last pushed 28d ago), licensed MIT. It adds 89 tokens to every session and 1,103 once invoked, about $0.0004 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 2026-08-30.
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