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 incident-responsegit 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/incident-response)<a href="https://agentmods.dev/skills/uptimerobot/ai/incident-response"><img src="https://agentmods.dev/badge/skills/uptimerobot/ai/incident-response/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/incident-response"><img src="https://agentmods.dev/badge/skills/uptimerobot/ai/incident-response.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 | $0.00025 | $0.01785 |
| Opus 5.5 | $0.00010 | $0.00714 |
| Sonnet 5.5 | $0.00005 | $0.00357 |
| Haiku 4.5 | $0.00003 | $0.00178 |
Grade A, and why
incident-response 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 — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Incident response
Preflight — read first. If you cannot see any
uptimerobot:*MCP tools in your tool list, invoke theuptimerobot:setupskill 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.
The full loop a user runs when something's on fire:
- Find what's down (
list-monitorswithDOWNfilter). - Pull incident details for the worst offenders (
get-incident-details). - Optionally silence flapping monitors while the underlying issue is being fixed (
update-monitor-status→PAUSED). - Log findings as you go with incident comments (requires the
incident-commentsplan feature). - After the fix, verify recovery with
get-monitor-statsand/orget-response-times.
Use this when the user says "what's down?", "is production still broken?", "triage the alerts", or "show me the outage".
Step 1 — Find what's down
{ "filter": ["DOWN"], "limit": 50 }
Paginate until hasMore: false. Group the results by tag or friendly-name prefix before reporting — the user typically cares "what system is down", not "which individual checks are failing".
Also surface NOT_STARTED monitors on request — they're not actively monitored but show up in downtime reports.
Active-only view
To exclude paused and unstarted:
{ "filter": ["DOWN"], "limit": 50 }
(DOWN by itself excludes PAUSED / NOT_STARTED automatically.)
Step 2 — Pull recent incidents
For each down monitor that the user wants to dig into:
{ "monitorId": 800123456, "timeRange": "24h", "limit": 5 }
Returns a list of incidents (active and resolved). Note incidentId is a string.
Lead with the active (unresolved) incident, then show recently-resolved ones as flap history.
Step 3 — Diagnose one incident
{ "incidentId": "inc_abcdef1234567890" }
Returns:
- Per-checker probe results (location, IP, HTTP status, error kind, response body snippet).
- Traceroute hops where available.
- Start time, duration, and root-cause category if assigned.
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 · 167 lines · 25 tokens per session scan A 3ffb691cee5d
incident-response is a skill published in the GitHub repository uptimerobot/ai (24 stars, last pushed yesterday), licensed MIT. It adds 25 tokens to every session and 1,785 once invoked, about $0.0001 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 2026-08-30.
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