Promql Validator
ListedValidates Prometheus queries (PromQL) for correctness and potential errors, ensuring data integrity and accurate monitoring insights.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add akin-ozer/cc-devops-skills --skill promql-validator -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto 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.
Automated safety checks
This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.
No undeclared network calls: failed
Contacts 5 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: grafana.com, iximiuz.com, prometheus.io, stackoverflow.com, www.robustperception.io.
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
stackoverflow.comundeclaredwww.robustperception.ioundeclaredgrafana.comundeclarediximiuz.comundeclaredprometheus.ioundeclaredWhat it found (3 of 6)
- devops-skills-plugin/skills/promql-validator/scripts/check_best_practices.py:609contacts stackoverflow.com
Per https://stackoverflow.com/questions/53191746/prometheus-absent-function - devops-skills-plugin/skills/promql-validator/scripts/check_best_practices.py:610contacts www.robustperception.io
and https://www.robustperception.io/functions-to-avoid/ - devops-skills-plugin/skills/promql-validator/scripts/check_best_practices.py:644contacts grafana.com
Per https://grafana.com/blog/2024/12/13/promql-vector-matching-what-it-is-and-how-it-affects-your-prometheus-queries/
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 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
- Scanned
- 6 files, 3,611 lines
About this skill
What it does
The promql-validator skill validates PromQL queries, ensuring they are syntactically correct and can be executed without errors. It provides feedback on query structure, variable usage, and potential issues that could prevent successful execution against a Prometheus data source. This helps in debugging and improving the reliability of monitoring dashboards and alerting rules.
When to use it
- Debugging PromQL queries: When you're building or modifying alerts or dashboard panels and unsure if your query is valid.
- Automated testing: Integrate into CI/CD pipelines to automatically validate changes to PromQL configurations before deployment.
- Learning PromQL: Use as a learning tool to understand the syntax and common errors in PromQL queries.
- Code review: Validate PromQL code during peer reviews to catch potential issues early on.
Key capabilities
- PromQL query validation
- Syntax error detection
- Error message reporting
Example prompts
- "Can you validate this PromQL query:
up{job="my-app"}?" - "Is this a valid Prometheus query:
sum(http_requests_total{job="api"}) by (endpoint)"?" - "Check the syntax of this PromQL expression and tell me if there are any errors:
rate(http_requests_total[5m]) > 10."
Tips & gotchas
The skill requires a basic understanding of PromQL syntax to interpret the validation results effectively. While it checks for syntax, it doesn't guarantee that the query will return meaningful data or behave as expected against your specific Prometheus setup.