
Analyze Test Run
If you're running integration tests in GitHub Actions and need to understand why things failed, this skill downloads artifacts, parses JUnit XML and skill reports, and produces a comprehensive breakdown of test results, skill invocation rates, and confidence scores. It goes further by filing GitHub issues for each failure with actual root cause analysis, pulling context from agent metadata and test logs to categorize problems like skills not being invoked, deployment failures, or quota exhaustion. The skill even checks for duplicate issues before filing. Built for the Microsoft Azure Copilot team's workflow, it tracks the three-skill deployment chain for azure-deploy tests specifically. Saves you from manually digging through artifacts and logs to figure out what went wrong and where.
- skills.sh installs
- 847
- GitHub stars
- 217
- last updated
- Jun 11, 2026
Install
$ npx -y skills add microsoft/github-copilot-for-azure --skill analyze-test-run --agent claude-codeInstalls into .claude/skills of the current project.
Files
Analyze Test Run
Downloads artifacts from a GitHub Actions integration test run, generates a summarized skill invocation report, and files GitHub issues for each test failure with root-cause analysis.
When to Use
- Summarize results of a GitHub Actions integration test run
- Calculate skill invocation rates for the skill under test
- For azure-deploy tests: track the full deployment chain (azure-prepare → azure-validate → azure-deploy)
- Compare skill invocation across two runs
- File issues for test failures with root-cause context
Input
| Parameter | Required | Description |
|---|---|---|
| Run ID or URL | Yes | GitHub Actions run ID (e.g. 22373768875) or full URL |
| Comparison Run | No | Second run ID/URL for side-by-side comparison |
MCP Tools
All tools use owner: "microsoft" and repo: "GitHub-Copilot-for-Azure" as fixed parameters. method selects the operation within the tool.
Sponsors
Details
- Repository
- github.com/microsoft/github-copilot-for-azure
- Categories
- Testing & QA, Git & Pull Requests, AI & Agent Building, Cloud & Infrastructure
- First seen
- Apr 16, 2026
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