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Logql Generator

Checked
akin-ozer·vlatest·utilities·Apache-2.0

Generates LogQL queries from natural language descriptions, streamlining log analysis and accelerating troubleshooting.

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 akin-ozer/cc-devops-skills --skill logql-generator -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

akin-ozer

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

    Only contacts known or declared hosts: 127.0.0.1.

    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

    127.0.0.1local

  • 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 akin-ozer/cc-devops-skills at 276af751e6.

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

Commit
276af751e6
Manifest
devops-skills-plugin/skills/logql-generator/SKILL.md
Scanned
5 files, 1,521 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 generates LogQL queries. It allows users to translate natural language requests into functional PromQL (Prometheus Query Language) statements for querying and analyzing time-series data stored in Prometheus. The generated queries can be used to retrieve metrics, calculate aggregates, and create visualizations within a monitoring system.

When to use it

  • Troubleshooting: Quickly generate LogQL queries to investigate specific issues or performance bottlenecks based on natural language descriptions of the problem.
  • Metric Exploration: Explore Prometheus data by asking questions in plain English instead of needing to learn the intricacies of LogQL syntax.
  • Dashboard Creation: Generate LogQL snippets for creating custom dashboards and visualizations within monitoring tools.
  • Automated Reporting: Automate the creation of reports based on PromQL queries, reducing manual effort and ensuring consistency.

Key capabilities

  • Generates LogQL queries from natural language input.
  • Supports a range of Prometheus metrics and functions.
  • Translates user requests into functional PromQL statements.

Example prompts

  • "Show me the CPU usage for all servers over the last 5 minutes."
  • "What is the average response time of our API endpoint in the last hour?"
  • "Generate a query to find errors related to database connections."

Tips & gotchas

The quality of generated queries depends on the clarity and specificity of the input prompt. Providing context about the metrics you're interested in will improve accuracy.