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Opentelemetry

Checked
bobmatnyc·vlatest·devops·MIT

Opentelemetry collects and exports metrics, logs, and traces from your applications for observability and troubleshooting, boosting system health.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add bobmatnyc/claude-mpm-skills --skill opentelemetry -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

bobmatnyc

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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned bobmatnyc/claude-mpm-skills at 718070a7d6.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
718070a7d6
Manifest
universal/observability/opentelemetry/SKILL.md
Scanned
5 files, 259 lines
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

This skill provides access to OpenTelemetry, a powerful observability framework. It allows you to instrument, generate, collect, and export telemetry data (traces, metrics, and logs) from your applications and systems. This facilitates comprehensive monitoring and debugging capabilities across distributed environments.

When to use it

  • Debugging complex microservices: Identify bottlenecks and errors within a distributed application architecture.
  • Performance analysis: Track key performance indicators (KPIs) like latency and throughput to optimize system efficiency.
  • Root cause analysis: Correlate traces, metrics, and logs to pinpoint the origin of issues quickly.
  • Observability in cloud-native environments: Gain insights into application behavior across containers, Kubernetes clusters, and serverless functions.

Key capabilities

  • Instrumentation
  • Data collection
  • Data export
  • Tracing
  • Metrics gathering
  • Log management

Example prompts

  • "Generate a trace for this API request."
  • "Show me the average latency of my database queries over the last hour."
  • "Export all logs to a central logging system."
  • “Instrument this Python function with OpenTelemetry.”

Tips & gotchas

Requires familiarity with observability concepts and potentially some code modifications for instrumentation. The skill's effectiveness depends on proper configuration and integration within your existing infrastructure.