gcx is a command-line tool that lets people and AI coding agents manage and inspect Grafana Cloud, Enterprise, and open-source instances. It provides access to dashboards, alerts, SLOs, metrics, logs, and traces, with workflows for alert investigation, dashboard management, GitOps, and observability setup. Its catalogue entries provide agent instructions and extensions for using gcx.
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 grafana/gcx --skill synth-check-statusgit clone --depth 1 https://github.com/grafana/gcxWrote 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/grafana/gcx/synth-check-status)<a href="https://agentmods.dev/skills/grafana/gcx/synth-check-status"><img src="https://agentmods.dev/badge/skills/grafana/gcx/synth-check-status/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/grafana/gcx/synth-check-status"><img src="https://agentmods.dev/badge/skills/grafana/gcx/synth-check-status.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 | $0.00103 | $0.01472 |
| Opus 5 | $0.00051 | $0.00736 |
| Sonnet 5 | $0.00021 | $0.00294 |
| Haiku 4.5 | $0.00010 | $0.00147 |
Grade A, and why
synth-check-status 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 10d 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 — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Synthetic Monitoring Check Status
View check health, status, and timelines.
Core Principles
- Use gcx commands exclusively — do not call APIs directly
- Trust the user's expertise — no excessive explanation
- Use
-o jsonfor agent processing, default format for user display - Show graph visualizations for time-series data
Workflow
Step 1: List All Checks
Always start with the full check inventory:
gcx synthetic-monitoring checks list
Output columns: NAME, JOB, TARGET, TYPE. The NAME suffix is the numeric check ID (e.g. web-check-1001 is ID 1001) - use that ID in the commands below. Identify the check(s) the user is asking about.
If the user specifies a check name, filter with a job glob:
gcx synthetic-monitoring checks list --job 'my-check*'
Step 2: Show Status
For all checks (overview):
gcx synthetic-monitoring checks status
For a specific check:
gcx synthetic-monitoring checks status <ID>
Only failing checks:
gcx synthetic-monitoring checks status --status FAILING
Output columns: NAME, JOB, TARGET, SUCCESS, LATENCY, STATUS. Use -o wide for PROBES_UP/PROBES_TOTAL, or -o json for all fields.
Status interpretation (threshold depends on the check's alertSensitivity: high = 95%, medium/default = 90%, low = 75%):
OK- success rate at or above the threshold; check is healthyFAILING- success rate below the threshold; route to synth-investigate-check for deeper analysisNODATA- no Prometheus data; check may be disabled or datasource misconfigured
Step 3: Conditional Timeline
Show timeline when:
- User asks about trends or history
- Any check shows
FAILINGstatus
With a duration shorthand:
gcx synthetic-monitoring checks timeline <ID> --since <duration>
With an explicit time range:
gcx synthetic-monitoring checks timeline <ID> --from <start> --to <end>
Examples:
gcx synthetic-monitoring checks timeline 42 --since 6h
gcx synthetic-monitoring checks timeline 42 --from now-24h --to now
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.
- 10d ago First seen · 160 lines · 103 tokens per session scan A b72bc6cc6f9c
synth-check-status is a skill published in the GitHub repository grafana/gcx (594 stars, last pushed today), licensed Apache-2.0. It adds 103 tokens to every session and 1,472 once invoked, about $0.0005 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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