A program manager wants a repeatable agent that triages new support issues nightly, labels them, and posts a summary. The team uses GitHub Actions for automation. Which approach best creates agentic workflow files that implement this triage behavior?

The correct workflow succeeds because a versioned YAML file in GitHub Actions can declare a nightly cron trigger for repeatability, scoped permissions for issues and contents, and explicit agent steps that read new support issues, apply labels, and publish a consolidated summary, which together satisfy automation platform, timing, agency, and both outputs. The nightly workflow that labels issues for internal review is operationally sound for triage queues but fails the dissemination concept because review-ready labels in logs or queue views are not equivalent to posting a shared summary artifact the team requested. The workflow triggered by new issues to label and summarize them is also a best-practice event-driven pattern that improves latency, but it fails the scheduling concept because per-event execution replaces the requested nightly batch cadence, changing cost, deduplication, and summary scope. The nightly workflow to prioritize issues and post a summary captures cadence and reporting well but fails the classification concept because prioritization or free-text triage does not deliver persistent labels needed for filtering, routing, and metrics. As an exam caveat, distinguish trigger timing from agent capability, since both scheduled and event-driven designs can use identical agent steps yet only the schedule satisfies nightly repeatability. As a practical check, inspect the file for schedule cron, permissions for issues, sequential steps for list-label-summarize-post, and run history showing labeled issues plus one posted summary per night.