Azure Monitor Query Py
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-py -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
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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
- 2 files, 461 lines
About this skill
What it does
This skill allows AI agents to execute Kusto Query Language (KQL) queries against Azure Monitor logs. It can retrieve and analyze log data, providing insights into application performance, system health, and security events within an Azure environment. The agent can then present this information in a structured format for further analysis or action.
When to use it
- Troubleshooting application errors by querying specific error codes and timestamps from Azure Monitor logs.
- Analyzing website traffic patterns and identifying potential bottlenecks using KQL queries against web server logs.
- Generating reports on resource utilization (CPU, memory) across virtual machines in an Azure subscription.
- Investigating security incidents by searching for suspicious activity within Azure Security Logs.
Key capabilities
- Execute KQL queries against Azure Monitor logs.
- Retrieve data from various log sources within Azure Monitor.
- Format and present query results in a structured manner.
Example prompts
- "Show me the error rate for my web application over the last hour."
- "What are the top 5 most frequent errors logged by my database server today?"
- "Give me a count of all login failures from the past week."
Tips & gotchas
- Requires appropriate Azure permissions to access and query Azure Monitor logs.
- KQL syntax can be complex; familiarity with Kusto Query Language is beneficial for optimal results.