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Backend Metrics

Checked
workshop-ventures·vlatest·backend·MIT

Analyze backend system performance via metrics like latency, error rates, and resource utilization to identify bottlenecks.

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 workshop-ventures/skills --skill backend-metrics -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

workshop-ventures

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 workshop-ventures/skills at 3cce58d9c1.

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

Commit
3cce58d9c1
Manifest
backend-metrics/SKILL.md
Scanned
1 file, 249 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 backend metrics. It allows an AI agent to retrieve and analyze data related to system performance, resource utilization, and application behavior. The specific types of metrics available are not detailed in the source.

When to use it

  • Troubleshooting Performance Issues: Investigate slowdowns or errors by examining server response times and error rates.
  • Capacity Planning: Analyze resource usage trends to predict future infrastructure needs.
  • Monitoring Application Health: Track key performance indicators (KPIs) to ensure application stability and identify potential problems proactively.
  • Debugging Production Issues: Gather detailed metrics to pinpoint the root cause of unexpected behavior in a live environment.

Key capabilities

  • Access to backend metrics data
  • Analysis of system performance
  • Retrieval of resource utilization information
  • Application behavior tracking

Example prompts

  • "Show me the average response time for the API endpoint /users over the last hour."
  • "What is the current CPU usage on server app-01?"
  • "Give me a graph of memory consumption for the database service in the past 24 hours."

Tips & gotchas

The specific metrics available will depend on the backend systems being monitored. Consult documentation or system administrators to understand the meaning and scope of each metric before analysis.