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Opentelemetry

Listed
bagelhole·vlatest·devops·MIT

Opentelemetry collects and exports telemetry data for observability, enabling you to monitor your systems' performance and troubleshoot issues effectively.

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 bagelhole/devops-security-agent-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

bagelhole

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: otel-collector.observability.

    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.

    Hosts contacted

    otel-collector.observabilityundeclared

    What it found

    • devops/observability/opentelemetry/SKILL.md:361contacts otel-collector.observability
      endpoint: http://otel-collector.observability:4317
    • devops/observability/opentelemetry/SKILL.md:382contacts otel-collector.observability
      endpoint: http://otel-collector.observability:4317
  • 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 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 bagelhole/devops-security-agent-skills at 0365f57a07.

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

Scanned
1 file, 463 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 and utilizes OpenTelemetry, a powerful observability framework. It allows for the generation, collection, and export of telemetry data (traces, metrics, and logs) from applications and infrastructure. The agent can use this information to troubleshoot issues, monitor performance, and gain insights into system behavior.

When to use it

  • Debugging Application Performance: Identify bottlenecks or errors in a complex application by analyzing distributed traces.
  • Monitoring Infrastructure Health: Track key metrics like CPU usage, memory consumption, and network latency across your servers and services.
  • Troubleshooting Production Incidents: Correlate logs, metrics, and traces to quickly diagnose the root cause of production issues.
  • Analyzing User Behavior: Gain insights into user interactions with your application by instrumenting key events and tracking their performance.

Key capabilities

  • Telemetry Data Generation (Traces, Metrics, Logs)
  • Data Collection from Applications & Infrastructure
  • Export to Observability Backends (e.g., Prometheus, Jaeger)

Example prompts

  • "Show me the trace for order ID 12345."
  • "What's the average response time of the checkout service over the last hour?"
  • "Generate a metric for CPU utilization on server 'web-01'."

Tips & gotchas

  • Requires proper instrumentation of your applications and infrastructure with OpenTelemetry SDKs.
  • Understanding of observability concepts (traces, metrics, logs) is helpful to effectively utilize this skill's output.