Analyze CI Failures

Fetch logs from failed GitHub Action jobs and produce a focused per-job failure summary.

Prerequisites

• GitHub Token: Auto-detected via gh auth token, or set GH_TOKEN.
• Single-quote URLs when invoking to keep the shell from interpreting ? and other special characters in the URL.

Steps

1. Fetch logs. Run:

   uv run --package skills skills fetch-logs $ARGUMENTS
   

   The command prints one block per failed job containing the workflow/job name, URL, failed step, and paths to the cached raw log, failed-step log, and (optional) package versions file.

2. Read each failed-step log and summarize it. For every block, Read the file at its Failed step log: path, then identify:

   • The root cause.
   • Specific error messages (assertion errors, exceptions, stack traces).
   • Full pytest test names where applicable (e.g. tests/test_foo.py::test_bar).
   • A short log snippet showing the error context.

3. Format each summary with these fields, then a blank line, then the 1-2 paragraph summary.

   • Failed job: <workflow name> / <job name>
   • Failed step: <step name>
   • URL: <job_url>
   • Raw log: <raw_log_path>
   • Failed step log: <failed_step_log_path>
   • Package versions: <package_versions_path> (if present)

   Preserve the Raw log:, Failed step log:, and Package versions: paths verbatim from step 1 so downstream agents can grep deeper.

Invocation examples

# All failed jobs on a PR
/analyze-ci https://github.com/mlflow/mlflow/pull/19601

# All failed jobs in one workflow run
/analyze-ci https://github.com/mlflow/mlflow/actions/runs/22626454465

# Specific job by URL
/analyze-ci https://github.com/mlflow/mlflow/actions/runs/12345/job/67890

# Multiple URLs at once
/analyze-ci https://github.com/mlflow/mlflow/actions/runs/123/job/456 https://github.com/mlflow/mlflow/actions/runs/789/job/012