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Distributed Tracing

Checked
hermeticormus·vlatest·devops·MIT

This skill traces requests across multiple services, revealing bottlenecks and improving system performance for faster debugging & optimization.

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 ormus-solutions/libreuiux-claude-code --skill distributed-tracing -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

hermeticormus

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 hermeticormus/libreuiux-claude-code at 2a69cbbc46.

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

Commit
2a69cbbc46
Manifest
plugins/observability-monitoring/skills/distributed-tracing/SKILL.md
Scanned
1 file, 407 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, hermeticormus-distributed-tracing, enables AI agents to understand and utilize distributed tracing data. It allows for the correlation of events across multiple services in a complex system, providing insights into performance bottlenecks and error propagation. The agent can analyze trace spans, identify dependencies between components, and ultimately aid in debugging and optimization efforts.

When to use it

  • Debugging Microservices: Investigate slow response times or errors by tracing requests as they flow through multiple microservices.
  • Performance Optimization: Identify performance bottlenecks within a distributed system by analyzing trace data for long-running spans.
  • Root Cause Analysis: Pinpoint the origin of an error that propagates across several services, revealing the underlying cause.
  • Dependency Mapping: Automatically discover and visualize dependencies between different components in your architecture based on tracing data.

Key capabilities

  • Trace span analysis
  • Cross-service event correlation
  • Dependency mapping
  • Performance bottleneck identification

Example prompts

  • "Analyze the distributed trace for request ID 12345 and identify any slow spans."
  • "Show me a dependency graph of services involved in transaction abc-def-ghi."
  • "What is causing errors in service X, based on recent distributed tracing data?"

Tips & gotchas

The effectiveness of this skill depends on the availability of properly instrumented distributed tracing data within your environment. Ensure that your systems are configured to emit trace spans with sufficient context for meaningful analysis.