Agent of the Day – November 6, 2026
A good reviewer doesn’t recite the whole style guide. They look at the change in front of them and ask the one or two questions that matter. Today’s spotlight goes to a workflow built around that instinct.
Agent of the Day: Matt Pocock Skills Reviewer
Section titled “Agent of the Day: Matt Pocock Skills Reviewer”The Matt Pocock Skills Reviewer is a pull request reviewer. Its description is plain: review PRs using Matt Pocock’s engineering skills to give targeted suggestions based on the type of changes. A small fix gets a different lens than a refactor.
It runs on the GitHub Copilot CLI engine with cost-oriented model routing (goal: cost, mode: economy), imports a shared PR-review base, and signs its work with a footer so a reader always knows which agent spoke and can follow the run link.
What the live evidence shows
Section titled “What the live evidence shows”Within the last hour of this writing, the workflow ran three times on pull_request events, each on a different Copilot-authored branch. All three completed successfully.
| Run | Branch | Duration | Tokens |
|---|---|---|---|
| 42229926994 | copilot/fix-verify-output-id | 13.1m | 58,142 |
| 42230049178 | copilot/fix-details-open-escaping | 11.4m | 51,209 |
| 42230089145 | copilot/fix-strict-mode-env-vars | 18.1m | 103,570 |
The token counts are from the log summary. A structured audit of run 42230049178 reports zero errors and zero warnings, and an adaptive execution style with four tool types. Its write path was deliberately narrow: one inline pull request review comment and one submitted review. No sprawl, no pile of drive-by comments.
The audit also flagged two medium-severity notes: high token usage, and a declared sub-agent model (pr-triage) that wasn’t observed in the model requests. That is useful honesty from the tooling, and it is a reasonable starting point for anyone tuning cost on this workflow.
Why it’s worth a look
Section titled “Why it’s worth a look”- Right-sized feedback. Matching the review lens to the change type keeps comments relevant.
- Small footprint. One review comment plus one review submission keeps noise low.
- Observable. Every run has a link, and
gh aw auditturns it into structured findings you can act on.
Try it yourself
Section titled “Try it yourself”Browse the workflow source, then point gh aw logs and gh aw audit at your own reviewers. Explore the project at github/gh-aw.