stats

A monitoring statistics tool that reports service status, uptime, incidents, downtime, response times, and monitor usage.

In plain words
What is it for?
Use it to check account-wide up, down, and paused counts, measure uptime, review incidents and downtime, and examine response-time trends.
Why use it?
It gives a concise view of how monitored services have performed over a selected period without inspecting each monitor separately.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/uptimerobot/ai/stats
Any agent
npx skills add uptimerobot/ai --skill stats
Clone the repo
git clone --depth 1 https://github.com/uptimerobot/ai

Made for: Claude Code, Codex.

Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 888 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00024 $0.00888
Opus 5 $0.00012 $0.00444
Sonnet 5 $0.00005 $0.00178
Haiku 4.5 $0.00002 $0.00089

Measured 2d ago against content hash c941627290c0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

stats 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 2d 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.

skills/stats/SKILL.md · 101 lines

How it starts

The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Stats

Preflight — read first. If you cannot see any uptimerobot:* MCP tools in your tool list, invoke the uptimerobot:setup skill before doing anything else. Do not tell the user the MCP is misconfigured — setup's Step 0 detects the common case (server connected, tools loaded after session start) and resolves it without re-keying.

Two tools:

  • get-monitor-stats — account-wide aggregated counts and uptime percentage.
  • get-response-times — per-monitor response-time time series.

Both take a timeRange (see format below).

Time range format

Accepted by both tools and by list-incidents:

  • Relative: "1h""90d" (e.g. "24h", "7d", "30d").
  • Absolute ISO 8601 interval: "2024-01-01T00:00:00Z/2024-01-31T23:59:59Z". Start must be before end, range must be 1h–90d.

Default is "7d" when omitted.

Get monitor stats

{ "timeRange": "7d" }

Returns account-wide aggregates:

  • Counts of monitors in each state (up, down, paused, notStarted).
  • Overall uptime percentage across all active monitors.
  • Incident counts and total downtime duration for the range.
  • Plan-level monitor cap vs. current usage.

Use this to answer "how's everything looking?" or "what's our uptime this week?".

Get response times

{
  "monitorId": 800123456,
  "timeRange": "24h",
  "bucketSize": 300
}

Parameters:

  • monitorId — required.
  • timeRange — same format as above.
  • bucketSize — seconds per bucket for aggregation. Smaller buckets → finer granularity and more data points. Omit to let the server pick a default based on the range.

Response includes time series with min / max / average / p95 per bucket, plus overall summary stats for the range.

Examples

Last 24 hours, 5-minute buckets:

{ "monitorId": 800123456, "timeRange": "24h", "bucketSize": 300 }

Last 30 days, default bucket size:

{ "monitorId": 800123456, "timeRange": "30d" }

Custom range for incident post-mortem:

{
  "monitorId": 800123456,
  "timeRange": "2025-04-10T14:00:00Z/2025-04-10T18:00:00Z",
  "bucketSize": 60
}

Read the full file on GitHub · 101 lines

Changes

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.

  1. 2d ago First seen · 101 lines · 24 tokens per session scan A c941627290c0

Subscribe to this mod's changes

stats is a skill published in the GitHub repository uptimerobot/ai (24 stars, last pushed 20d ago), licensed MIT. It adds 24 tokens to every session and 888 once invoked, about $0.0001 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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