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

Workflow

Phase 1 — Download & Parse

• Extract the numeric run ID from the input (strip URL prefix if needed)

• Fetch run metadata: gh run view <run-id> --repo microsoft/GitHub-Copilot-for-Azure --json jobs,status,conclusion,name

• Download artifacts to a temp directory: gh run download <run-id> --repo microsoft/GitHub-Copilot-for-Azure --dir "$TMPDIR/gh-run-<run-id>"

• Locate these files in the downloaded artifacts:

• junit.xml — test pass/fail/skip/error results

• *-SKILL-REPORT.md — generated skill report with per-test details

• agent-metadata-*.md files — raw agent session logs per test

Phase 2 — Build Summary Report

Produce a markdown report with four sections. See report-format.md for the exact template.

Section 1 — Test Results Overview

Parse junit.xml to build:

Metric Value

Total tests count from <testsuites tests=…>

Executed total − skipped

Skipped count of <skipped/> elements

Passed executed − failures − errors

Failed count of <failure> elements

Test Pass Rate passed / executed as %

Include a per-test table with name, duration (from time attribute, convert seconds to Xm Ys ), and Pass/Fail result.

Section 2 — Skill Invocation Rate

Read the SKILL-REPORT.md "Per-Test Case Results" sections. For each executed test determine whether the skill under test was invoked.

The skills to track depend on which integration test suite the run belongs to:

azure-deploy integration tests — track the full deployment chain:

Skill How to detect

azure-prepare

Mentioned as invoked in the narrative or agent-metadata

azure-validate

Mentioned as invoked in the narrative or agent-metadata

azure-deploy

Mentioned as invoked in the narrative or agent-metadata

Build a per-test invocation matrix (Yes/No for each skill) and compute rates:

Skill Invocation Rate

azure-deploy X% (n/total)

azure-prepare X% (n/total)

azure-validate X% (n/total)

Full skill chain (P→V→D) X% (n/total)

The azure-deploy integration tests exercise the full deployment workflow where the agent is expected to invoke azure-prepare, azure-validate, and azure-deploy in sequence. This three-skill chain tracking is specific to azure-deploy tests only.

All other integration tests — track only the skill under test:

Skill Invocation Rate

{skill-under-test} X% (n/total)

For non-deploy tests (e.g. azure-prepare, azure-ai, azure-kusto), only track whether the primary skill under test was invoked. Do not include azure-prepare/azure-validate/azure-deploy chain columns.

Section 3 — Report Confidence & Pass Rate

Extract from SKILL-REPORT.md:

• Overall Test Pass Rate (from the report's statistics section)

• Average Confidence (from the report's statistics section)

Section 4 — Comparison (only when a second run is provided)

Repeat Phase 1–3 for the second run, then produce a side-by-side delta table. See report-format.md § Comparison.

Phase 3 — File Issues for Failures

For every test with a <failure> element in junit.xml :

• Read the failure message and file:line from the XML

• Read the actual line of code from the test file at that location

• Read the agent-metadata-*.md for that test from the artifacts

• Read the corresponding section in the SKILL-REPORT.md for context on what the agent did

• Determine root cause category:

• Skill not invoked — agent bypassed skills and used manual commands

• Deployment failure — infrastructure or RBAC error during deployment

• Timeout — test exceeded time limit

• Assertion mismatch — expected files/links not found

• Quota exhaustion — Azure region quota prevented deployment

• Search for existing open issue before creating a new one: gh issue list --repo microsoft/GitHub-Copilot-for-Azure
  --state open
  --search "Integration test failure: {skill} in:title"
  --json number,title,body

Match criteria: an open issue whose title and body describe a similar problem. If a match is found, skip issue creation for this failure and note the existing issue number(s) in the summary report.

• If no existing issue was found, create a GitHub issue:

gh issue create --repo microsoft/GitHub-Copilot-for-Azure
--title "Integration test failure: <skill> – <keywords> [<root-cause-category>]"
--label "bug,integration-test"
--body "<body>"

Title format: Integration test failure: {skill} – {keywords} [{root-cause-category}]

• {keywords} : 2-4 words from the test name — app type (function app, static web app) + IaC type (Terraform, Bicep) + trigger if relevant

• {root-cause-category} : one of the categories from step 5 in brackets

Issue body template — see issue-template.md.

⚠️ Note: Do NOT include the Error Details (JUnit XML) or Agent Metadata sections in the issue body. Keep issues concise with the diagnosis, prompt context, skill report context, and environment sections only.

For azure-deploy integration tests, include an "azure-deploy Skill Invocation" section showing whether azure-deploy was invoked (Yes/No), with a note that the full chain is azure-prepare → azure-validate → azure-deploy. For all other integration tests, include a "{skill} Skill Invocation" section showing only whether the primary skill under test was invoked.

Error Handling

Error Cause Fix

gh: command not found

GitHub CLI not installed Install with winget install GitHub.cli or brew install gh

no artifacts found

Run has no uploadable reports Verify the run completed the "Export report" step

HTTP 404 on run view Invalid run ID or no access Check the run ID and ensure gh auth status is authenticated

rate limit exceeded

Too many GitHub API calls Wait and retry, or use --limit on searches

References

• report-format.md — Output report template

• issue-template.md — GitHub issue body template