Azure Monitor Query Java
ListedHelps 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 sickn33/agentic-awesome-skills --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
sickn33
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.
Declares what it does: failed
No SKILL.md was found in the skill's directory.
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 sickn33/antigravity-awesome-skills at 5a4cdd9df8.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 5a4cdd9df8
- Scanned
- 0 files
- Copies in repo
- 3 — all of them scanned
About this skill
What it does
This skill allows AI agents to construct and execute Azure Monitor queries using Java code. It leverages the Microsoft Azure SDK for Java to interact with the Azure Monitor API, enabling programmatic access to metrics, logs, and other telemetry data. The agent can then interpret and present the results of these queries in a human-readable format.
When to use it
- Troubleshooting Application Performance: Investigate slow response times or error spikes by querying application performance metrics.
- Analyzing Log Data: Extract specific events from Azure Monitor logs, such as authentication failures or security incidents.
- Monitoring Resource Utilization: Track CPU usage, memory consumption, and other resource metrics for virtual machines or containers.
- Automating Reporting: Generate custom reports based on Azure Monitor data, providing insights into system health and performance trends.
Key capabilities
- Constructs Kusto Query Language (KQL) queries programmatically.
- Executes queries against Azure Monitor logs and metrics.
- Utilizes the Microsoft Azure SDK for Java.
- Parses query results and presents them in a structured format.
Example prompts
- "Run a query to find all errors logged by my web application in the last hour."
- "What is the average CPU utilization of my database server over the past 24 hours?"
- "Show me the number of successful login attempts per user today."
Tips & gotchas
- Requires appropriate Azure credentials and permissions to access Azure Monitor data.
- Familiarity with Kusto Query Language (KQL) is helpful for constructing effective queries.