promql-validator

Validate PromQL query syntax, semantics, and performance best practices.

290|32|Updated Dec 5, 2025
One-click install
npx skills add https://github.com/akin-ozer/cc-devops-skills --skill promql-validator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: promql-validator
Source: https://github.com/akin-ozer/cc-devops-skills/tree/main/devops-skills-plugin/skills/promql-validator
Command: npx skills add https://github.com/akin-ozer/cc-devops-skills --skill promql-validator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

PromQL queries validation and optimization for Prometheus. It validates syntax, ensures semantic correctness, and provides best-practice guidance to improve reliability and performance of monitoring queries.

Core Features & Use Cases

  • Syntax Validation: Checks syntax, balanced brackets, and valid label matchers to catch errors early.
  • Semantic & Best Practices: Detects anti-patterns (e.g., missing rate() on counters, inappropriate rate() on gauges) and suggests performance-friendly patterns.
  • Interactive Guidance: Delivers structured feedback and suggestions to refine queries for dashboards, alerts, and analytics.

Quick Start

Provide your PromQL query to validate. The skill runs internal Python scripts to analyze syntax, semantics, and performance and returns actionable results.

Frequently Asked Questions about promql-validator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I validate PromQL queries for syntax and semantic correctness?

To validate PromQL queries for correctness, this Skill analyzes syntax, balanced brackets, and valid label matchers using internal Python scripts, returning actionable feedback to catch errors early.

What are common PromQL anti-patterns to avoid when building dashboards?

Common PromQL anti-patterns include missing rate() functions on counters or applying rate() on gauges. This Skill detects these semantic issues and suggests performance-friendly patterns for dashboards and alerts.

How do I optimize Prometheus queries for better performance?

To optimize Prometheus queries, this Skill evaluates your PromQL against best-practice rules and provides structural feedback and suggestions to improve the performance of monitoring queries.

Can I debug PromQL label matching rules for alerting rules?

Yes, you can debug PromQL label matching rules for alerting by providing your query to this Skill, which enforces syntax and label matching constraints to ensure query reliability.

What is the best way to check if a PromQL query will cause performance issues?

The best way to check for PromQL performance issues is to analyze the query using this Skill's semantic checks, which identify anti-patterns and recommend performance-friendly patterns for ad-hoc analysis.

Do I need to install Python dependencies to run PromQL validation scripts?

No additional dependencies are required. The Skill executes PromQL validation using included internal Python scripts directly within the environment to analyze semantics and performance without external setup.