Testing

What it does

When your agent uses it

• Checking website / API uptime from multiple regions
• Gating a release on a load test
• Watching for TLS-cert renewal
• Instrumenting a React/Vue app

Example prompts

• “is my login flow up?”
• “monitor my API”
• “ping our endpoint every minute”
• “/testing”

Requirements

• Node.js

Workflow steps

3 steps, taken from the step headings in SKILL.md.

1. 1Create + verify a Synthetic HTTP check
2. 2Run a k6 cloud load test
3. 3Instrument a frontend with Faro

What it can do on your machine

Read from SKILL.md and the folder at commit 1ccacf2. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Shell commands in SKILL.md call:

  • curl
  • jq
  • npm

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  Hosts in commands or code, which the agent is likely to contact:

  • synthetic-monitoring-api.grafana.net

  Also links to:

  • grafana.com

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Testing loads about 1.3k tokens when it runs, and up to ~5k if it reads all its reference files. Until then it costs about 248 tokens; SKILL.md has 232 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~248

When it runs · the whole SKILL.md, loaded when a task matches

~1.3k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from grafana/skills at commit 1ccacf2, republished under its Apache-2.0 licence (© grafana). 232 words, ~1,346 tokens.

name

testing

description

Probe, load-test, and instrument frontends from Grafana Cloud. Covers Synthetic Monitoring (HTTP / DNS / TCP / Ping / Traceroute / Multihttp / k6-browser scripted checks from 20+ global probes, alert on `probe_success` + TLS-cert expiry), Grafana Cloud k6 (distributed load tests across AWS load-zones, scenarios, `http_req_duration` thresholds, CI integration via `grafana/k6-action`), and Frontend Observability with Faro Web SDK (RUM, Core Web Vitals, custom events, `pushError`, distributed-trace correlation). Use when checking website / API uptime from multiple regions, gating a release on a load test, watching for TLS-cert renewal, instrumenting a React/Vue app, tracking Core Web Vitals, or correlating frontend errors to backend traces — even when the user says "is my login flow up?", "monitor my API", "ping our endpoint every minute", "release-gate load test", "browser performance monitoring", "session replay", or "RUM" without naming Synthetic Monitoring / k6 / Faro.

license

Apache-2.0

# 1. Create the check (full payload in references/synthetic.md)
curl -X POST https://synthetic-monitoring-api.grafana.net/sm/checks \
  -H "Authorization: Bearer <sm-token>" -H "Content-Type: application/json" \
  -d '{"job":"website","target":"https://example.com","frequency":60000,"timeout":15000,
       "enabled":true,"probes":[1,5,10],
       "settings":{"http":{"method":"GET","validStatusCodes":[200]}}}'

# 2. List checks — confirm it exists and is enabled
curl -s https://synthetic-monitoring-api.grafana.net/sm/checks \
  -H "Authorization: Bearer <sm-token>" | jq '.[] | select(.job=="website")'

# 3. Verify probe_success arrived (wait ~60s for the first run)
#    In Grafana Explore on the synthetic metrics datasource:
#      probe_success{job="website"}
#    Expect 1 from each probe in `probes:[1,5,10]`.
#
# Rollback: DELETE /sm/checks/<id> or set `"enabled": false`.

# 1. Authenticate once
k6 cloud login --token <grafana-cloud-k6-token>

# 2. Validate the script locally first (smoke run, no cloud cost)
k6 run --vus 1 --duration 30s script.js

# 3. Launch in cloud
k6 cloud script.js
# → URL of the run; thresholds (p95<500ms, error<1%) decide pass/fail.

# 4. Verify in CI — exit code 0 = thresholds passed, 99 = threshold failed.
echo $?

# 1. Install
npm install @grafana/faro-web-sdk @grafana/faro-web-tracing

// 2. initializeFaro({ url, apiKey, app, instrumentations }) — see references/k6-and-faro.md
// 3. Push a test event so we have something to look for:
faro.api.pushEvent('faro_smoketest', { ts: Date.now().toString() });

# 4. Verify the collector accepted it (browser DevTools → Network)
#    POST to /collect should return 202. If 401 — apiKey mismatch.

# 5. Verify in Grafana
#    - Frontend Observability → your app → Sessions: should show your session
#    - Explore on Loki: `{kind="event"} |= "faro_smoketest"`
#    - For traces: filter by `service.name="my-frontend"` in Tempo

© grafana, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (references) in skills/grafana-cloud/testing of grafana/skills.

• SKILL.md
• references/k6-and-faro.md
• references/k6-cloud.md
• references/synthetic-monitoring.md
• references/synthetic.md

Open the folder on GitHubat commit 1ccacf2