Analysing CI Failures

SkillDev tools

Analysing GitHub Actions CI failures from a run URL. Use when the user pastes a GitHub CI run or job URL and wants to understand why it failed and how to reproduce locally.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Analysing CI Failures skill

What this skill tells your AI

The instructions your AI receives, as published by golemcloud/golem in .agents/skills/analysing-ci-failures/SKILL.md and read by ahel’s review.

Diagnose GitHub Actions CI failures by downloading logs and CTRF test reports, then providing a summary of what failed and how to reproduce it locally.

Step 1: Parse the URL

The user provides a GitHub Actions URL in one of these forms:

  • Job URL: https://github.com/golemcloud/golem/actions/runs/<run_id>/job/<job_id>?pr=<pr>
  • Run URL: https://github.com/golemcloud/golem/actions/runs/<run_id>?pr=<pr>

Extract the run_id and job_id (if present) from the URL.

Step 2: Download the Job Log

Use gh to download the full log for the failed job and save it to a temp file:

# If a specific job_id is available:
gh run view <run_id> --repo golemcloud/golem --log --job <job_id> > tmp/ci_log.txt 2>&1

# If only the run_id is available, first list the jobs to find the failed one:
gh run view <run_id> --repo golemcloud/golem --json jobs --jq '.jobs[] | select(.conclusion == "failure") | .databaseId'
# Then download the log for the failed job:
gh run view <run_id> --repo golemcloud/golem --log --job <failed_job_id> > tmp/ci_log.txt 2>&1

Step 3: Download CTRF Reports (if available)

CTRF (Common Test Report Format) JSON reports are attached as artifacts to the CI run summary page. Download them:

# List available artifacts for the run:
gh api repos/golemcloud/golem/actions/runs/<run_id>/artifacts --jq '.artifacts[].name'

# Download the test-report artifacts produced by Golem's CI jobs:
gh run download <run_id> --repo golemcloud/golem --pattern '*-report' --dir tmp/ctrf_reports/

If CTRF artifacts exist, parse the JSON files to extract failed test names, error messages, and stack traces. CTRF files have this structure:

{
  "results": {
    "summary": { "tests": 100, "passed": 98, "failed": 2 },
    "tests": [
      {
        "name": "test_name",
        "status": "failed",
        "message": "error message",
        "trace": "stack trace"
      }
    ]
  }
}

Filter for tests with "status": "failed" to find the failures.

Step 4: Analyse the Log

Search the downloaded log file for failure indicators:

rg -n 'FAILED|error\[|panic|timed out|test result:' tmp/ci_log.txt

Look for:

  • Compilation errors: error[E...] lines with file paths and error descriptions
  • Test failures: FAILED test names, assertion messages, panics
  • Timeouts: Tests that exceeded their time limit
  • Infrastructure issues: Docker failures, network errors, resource exhaustion

Step 5: Provide a Summary

Present the findings to the user including:

  1. What failed: The specific test(s) or build step(s) that failed
  2. Error details: The error messages, assertion failures, or panic messages
  3. Root cause hypothesis: What likely caused the failure based on the logs
  4. How to reproduce locally: The exact command to run the failing test(s):
# For a specific failing test:
cargo test -p <crate> -- <test_name> --nocapture --report-time

# For the full test suite that failed:
cargo make <test-command>  # e.g., worker-executor-tests, integration-tests

Refer to the testing skill's table for the correct cargo make command based on the type of test that failed.

Signals

GitHub stars
2k
Forks
212
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
analysing-ci-failures
Source
github.com/golemcloud/golem