apim-kql
apim-kql is an Observability & incident response skill for AI agents, published by Azure-Samples in the AI-Gateway repository on GitHub. Skillspace rates apim-kql D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Guide for creating Kusto Query Language (KQL) queries for Azure API Management tables in Azure Monitor (Log Analytics Workspace). Use when users want to query, analyze, or monitor APIM logs including gateway logs, LLM/AI logs, MCP logs, WebSocket logs, and Application Insights data. This skill provides KQL syntax, table schemas, and query patterns for APIM monitoring scenarios.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 955
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 96 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 3 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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