Skip to content
TrustedSkillsbeta
Back to all skills

Check Observability

Listed
phrazzld·vlatest·devops

This skill verifies your observability setup—metrics, logs, traces—ensuring healthy data collection for proactive issue detection and improved system health.

Repository

Install on your platform

This skill no longer installs under the name check-observability. phrazzld/claude-config is deleted or private, so it cannot be installed from.

We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-22. We don't show a command we know will fail.

Repository install instructions

What we know about this skill

Publisher

phrazzld

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

Not scanned. repository not found or private Source recorded as phrazzld/claude-config.
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The check-observability skill allows AI agents to assess and report on the observability posture of a system. It can identify missing metrics, logs, or traces; evaluate existing instrumentation for completeness and accuracy; and suggest improvements to enhance monitoring capabilities. This ultimately helps ensure systems are well-understood and potential issues can be quickly detected and resolved.

When to use it

  • Troubleshooting incidents: Quickly determine if a lack of observability contributed to an incident.
  • Proactive system reviews: Regularly evaluate the observability setup for critical applications.
  • Onboarding new services: Ensure proper instrumentation is in place from the start.
  • Compliance audits: Demonstrate adherence to observability best practices and regulatory requirements.

Key capabilities

  • Identifies missing metrics, logs, and traces.
  • Evaluates existing instrumentation completeness.
  • Suggests improvements for enhanced monitoring.

Example prompts

  • "Check the observability of our production database cluster."
  • "What key metrics are missing from our application's dashboards?"
  • "Assess the logging coverage for the order processing service."

Tips & gotchas

The skill’s effectiveness depends on access to relevant system configuration and monitoring data. Ensure the AI agent has appropriate permissions and context to perform a thorough assessment.