Azure Monitor Query Java
CheckedHelps with Azure, monitoring, querying as part of deploying and managing cloud infrastructure workflows.
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 claudedjale/skillset --skill azure-monitor-query-java -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
claudedjale
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 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 claudedjale/skillset at 154f146735.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 154f146735
- Scanned
- 3 files, 890 lines
About this skill
What it does
This skill allows AI agents to construct and execute Kusto Query Language (KQL) queries against Azure Monitor logs. It leverages Java code to generate these queries, enabling complex data analysis and reporting from Azure cloud environments. The agent can then interpret and present the results of these queries in a user-friendly format.
When to use it
- Troubleshooting application performance issues by querying for specific error events within a defined time range.
- Generating reports on resource utilization (CPU, memory) across multiple virtual machines.
- Analyzing security logs to identify suspicious activity or potential threats.
- Creating custom dashboards visualizing key metrics extracted from Azure Monitor data.
Key capabilities
- KQL query generation via Java code.
- Execution of queries against Azure Monitor logs.
- Data analysis and reporting based on query results.
- Integration with Azure cloud environments.
Example prompts
- "Generate a KQL query to find all errors logged by the 'WebApp' application in the last 24 hours."
- "Show me the average CPU usage for my virtual machines over the past week, using a KQL query."
- "Create a KQL query that identifies failed login attempts from specific IP addresses."
Tips & gotchas
- Requires familiarity with Kusto Query Language (KQL) syntax and Azure Monitor log structure.
- The agent's ability to construct complex queries depends on the clarity and specificity of the user’s prompt.