ML.NET CI scan

Run the ML.NET CI failure scanner from a local Copilot CLI session. This skill replaces scheduled GitHub Actions execution for now.

Inputs

Workflow

1. Confirm the working repository is dotnet/machinelearning.
2. Verify local GitHub access with gh auth status. Use anonymous dnceng-public/public AzDO and Helix endpoints from the references.
3. Create local state under /tmp/mlnet-ci-scan/.
4. Read references/playbook.md and references/ci-scan.instructions.md.
5. Follow the playbook once for the selected build window.
6. Treat every issue-writing instruction as a request to prepare a draft. Do not create issues, add labels, or post comments while analyzing.
7. Present each proposed issue with its exact title, body, labels, evidence links, and dedup result. Cap the run at three drafts.
8. Apply drafts only after the user explicitly approves the exact GitHub writes. Never close or modify unrelated issues.

Local substitutions

• Store all intermediate state under /tmp/mlnet-ci-scan/.
• Replace aw_<id> placeholders with draft-<n> until an issue is created.
• Report no-op and skip outcomes directly in chat. Do not create status issues.
• Use the authenticated local user rather than COPILOT_GITHUB_TOKEN or a PAT pool.

Validation

• Every failure signature has exactly one outcome.
• Every draft passes the occurrence, follow-up, specificity, sanitization, match-count, and dedup gates.
• The final response includes the full tally table and all skipped reasons.