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Service Mesh Observability

Checked
wshobson·vlatest·devops·MIT

This skill provides deep insights into your service mesh traffic, enabling faster troubleshooting and improved performance monitoring for DevOps teams.

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 wshobson/agents --skill service-mesh-observability -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

wshobson

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 wshobson/agents at 46891e7e60.

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

Commit
46891e7e60
Manifest
plugins/cloud-infrastructure/skills/service-mesh-observability/SKILL.md
Scanned
2 files, 367 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

The service-mesh-observability skill enables AI agents to monitor, analyze, and report on the performance of service meshes in distributed systems. It provides visibility into traffic patterns, latency, errors, and other key metrics across microservices, helping users identify bottlenecks and optimize system behavior.

When to use it

  • You need real-time insights into service mesh traffic for troubleshooting or optimization.
  • Your team is managing a complex microservices architecture with multiple interdependent services.
  • You want to automate the collection and analysis of metrics from tools like Istio, Linkerd, or Consul.
  • You are preparing for capacity planning or performance tuning in production environments.

Key capabilities

  • Real-time monitoring of service mesh traffic
  • Analysis of latency, error rates, and request volume
  • Integration with popular service mesh platforms (e.g., Istio, Linkerd)
  • Automated generation of observability reports

Example prompts

  • "Generate a report on the top 5 services with the highest latency in the last hour."
  • "Show me traffic patterns between microservices over the past day."
  • "Identify any anomalies in service mesh metrics from the last deployment."

Tips & gotchas

  • Ensure your service mesh is configured to expose metrics via Prometheus or similar tools for compatibility.
  • This skill relies on access to logs and metrics data, so proper instrumentation of services is essential.