slo-investigate

slo-investigate is a skill for Claude Code from grafana/gcx. It costs 61 tokens per session (2,221 once invoked), scanned A, original, Apache-2.0.

A troubleshooting workflow for a breaching Grafana SLO. An SLO is a target for a service's reliability or performance, such as successful requests or response time.

In plain words
What is it for?
Investigating SLO breaches, examining dimensions and time series, correlating alert rules, and consulting the relevant runbook.
Why use it?
It helps explain why the target is being missed by breaking down the affected data and connecting it with alerts and runbooks.

Skill for Claude Code ✓ vendor

Written for Claude Code: allowed-tools in frontmatter.

Part of the gcx plugin — 24 skills, 1 agent shipped together

Good fit Investigating SLO breaches, examining dimensions and time series, correlating alert rules, and consulting the relevant runbook.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/grafana/gcx/slo-investigate
About the project

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.

grafana/gcx · 817 stars · on GitHub · grafana.com

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.

Any agent
npx skills add grafana/gcx --skill slo-investigate
Clone the repo
git clone --depth 1 https://github.com/grafana/gcx

Made for: Claude Code.

Or install gcx, the plugin that ships this one along with the rest of its 24 skills, 1 agent.

Wrote 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.

agentmods badge for slo-investigate

README.md
[![agentmods](https://agentmods.dev/badge/skills/grafana/gcx/slo-investigate/github.svg)](https://agentmods.dev/skills/grafana/gcx/slo-investigate)
Your own site
<a href="https://agentmods.dev/skills/grafana/gcx/slo-investigate"><img src="https://agentmods.dev/badge/skills/grafana/gcx/slo-investigate/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.

agentmods 80×15 button for slo-investigate

Your own site · 80×15
<a href="https://agentmods.dev/skills/grafana/gcx/slo-investigate"><img src="https://agentmods.dev/badge/skills/grafana/gcx/slo-investigate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,221 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00061 $0.02221
Opus 5.5 $0.00024 $0.00888
Sonnet 5.5 $0.00012 $0.00444
Haiku 4.5 $0.00006 $0.00222

Measured 14d ago against content hash e1ab2faf8572, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

slo-investigate scanned grade A with 1 finding 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 14d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

1. Use gcx commands — do not call Grafana APIs directly (no curl, no HTTP libraries)
claude-plugin/skills/slo-investigate/SKILL.md · 207 lines

How it starts

The opening of the file, as written. The whole thing — 207 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SLO Investigator

Deep-dive investigation of breaching SLOs: dimensional breakdown, alert correlation, runbook access. For experienced operators — no hand-holding.

Core Principles

  1. Use gcx commands — do not call Grafana APIs directly (no curl, no HTTP libraries)
  2. Trust the user's expertise — skip obvious context, get to the root cause
  3. Use -o json for agent processing, default format for user display; show graphs for time-series data
  4. Errors collected at the end — do not interleave error handling in workflow steps
  5. Use --from/--to for all time-range commands (never --start/--end)

Investigation Workflow

Step 1: Retrieve SLO Definition

gcx slo definitions get <UUID> -o json

Extract from the JSON response:

  • .metadata.name — SLO name
  • .spec.query.type — query type: ratio, freeform, or threshold
  • For ratio: .spec.query.ratio.successMetric, .spec.query.ratio.totalMetric, .spec.query.ratio.groupByLabels[]
  • For freeform: .spec.query.freeform.query
  • .spec.objectives[0].value — objective (0–1), .spec.objectives[0].window — window
  • .spec.destinationDatasource.uid — Prometheus datasource UID
  • .spec.alerting.fastBurn.annotations, .spec.alerting.slowBurn.annotations — runbook/dashboard URLs
  • .metadata.annotations — additional runbook/dashboard references

If no UUID is given, list SLOs and ask which to investigate:

gcx slo definitions list

Step 2: Check Status with Wide Output

gcx slo definitions status <UUID> -o wide

This shows SLI, ERROR_BUDGET, BURN_RATE, SLI_1H, SLI_1D, and STATUS.

Early exit — OK status: If STATUS is OK, report health metrics and stop:

SLO: <name> — Status: OK
SLI: <value>  |  Error budget remaining: <budget>%  |  Burn rate: <rate>x
1h SLI: <sli_1h>  |  1d SLI: <sli_1d>
No action needed.

Early exit — NODATA status: If STATUS is NODATA, branch to NODATA diagnosis:

SLO: <name> — Status: NODATA
Recording rule metrics unavailable. Likely causes:
- Destination datasource misconfigured (check .spec.destinationDatasource.uid)
- Grafana recording rules not yet evaluated (can take 1–2 minutes after creation)
- Prometheus federation/remote write issue

Check: gcx datasources list --type prometheus
Then verify the destination datasource UID matches what the SLO expects.

Read the full file on GitHub · 207 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 14d ago Changed · +4 lines · -54 tokens per session e1ab2faf8572
  2. 2mo ago First seen · 203 lines · 115 tokens per session scan A ec32d8b8b3c3

Subscribe to this mod's changes

slo-investigate is a skill published in the GitHub repository grafana/gcx (817 stars, last pushed today), licensed Apache-2.0. It adds 61 tokens to every session and 2,221 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

slo-investigate compared with skills from other repositories

slo-investigate next to 6 skills from other repositories
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