synthetic-monitoring SKILL.md skillA

synthetic-monitoring from petrkindlmann/qa-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add petrkindlmann/qa-skills/synthetic-monitoring@v2.0

Pins v2.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
petrkindlmann/qa-skills
Path
skills/synthetic-monitoring/SKILL.md
Versions recorded
5
Latest version
v2.0, committed Oct 21, 2026
First version recorded
May 21, 2026
Size
24,213 bytes
Repository stars
245
License
MIT

Scheduled probes that run CONTINUOUSLY after release. Covers probe design for critical user journeys, alerting integration, SLA validation, multi-region monitoring, and the boundary between QA and SRE. Use when: "synthetic monitoring," "uptime testing," "scheduled probes," "SLA validation," "availability monitoring," "post-deploy checks." Not for: safe-release techniques during rollout — use testing-in-production. Not for: designing tests from prod telemetry — use observability-driven-testing.…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

<objective>
Synthetic monitoring runs scripted tests against production on a schedule, 24/7. It catches outages, performance degradation, and broken flows before real users report them — at 3 AM when traffic is zero, probes are the only thing checking your app works. A login page that always returns 200 but never authenticates passes a naive uptime check; a synthetic probe that asserts the dashboard loads catches it. This skill covers probe design, alerting integration, SLA validation, multi-region execution, and the runbook discipline that keeps a 3 AM page actionable.
</objective>

## Quick Route

| Situation | Go to |
|-----------|-------|
| Picking a platform (Checkly, Datadog, Grafana, CloudWatch…) | Platform Options |
| Writing a probe (login, API health, search) | Probe Design → `references/probe-implementations.md` |
| Probe runs but users still report outages | Failure Modes |
| Alerts too noisy or missing real outages | Alerting Integration |
| Calculating downtime budget for an SLA | SLA Validation |
| Probe failed at 3 AM and on-call is lost | runbook template in `references/platforms-and-ci.md` |

---

## Discovery Questions
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add petrkindlmann/qa-skills/synthetic-monitoring@sha256:bc7497964efed8b6

The line at the top of this page pins the label v2.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_bkvx64kwk7xtfzku.svg)](https://markdownregistry.com/a/art_bkvx64kwk7xtfzku)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between May 21, 2026 and Oct 21, 2026, about one every 38 days.

versioncommittedcommitsizeaudit
v2.0 latest2026-10-21 98cd8d2 24,213 BA view · diff
v2.02026-06-10 5e772b2 23,130 BA view · diff
v2.02026-06-10 bcd1201 22,866 BA view · diff
v1.02026-05-30 d9b4edd 16,818 BA view · diff
v1.02026-05-21 c7fb325 20,979 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (24213 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

petrkindlmann/qa-skills · 245 stars · license MIT · pushed 2026-10-22 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_bkvx64kwk7xtfzku
GET https://markdownregistry.com/api/v1/resolve?ref=petrkindlmann/qa-skills/synthetic-monitoring
GET https://markdownregistry.com/api/v1/blob/bc7497964efed8b6696d9e0dbed805acc9bb1c38c563d384aa06c005bc5da50b

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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