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---
name: analyze-ci
description: Analyze failed GitHub Action jobs for a pull request.
argument-hint: "url(s) of failed GitHub Action jobs, workflow runs, or PRs"
---
# 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:
```bash
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
```bash
# 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
```
