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Assess an openai-agents-python GitHub issue or pull request as a maintainer. Use to verify the claimed need and practical impact, compare supported alternatives or competing approaches, separate code quality from repository readiness, recommend the maintainer action, and draft a copy-ready comment when evidence, changes, or closure should be requested.
Passed 20 of 24 test cases with the skill, and 16 of 24 without it.
and 8 more in the full report
7 fixed14 passed either way1 still failing3 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
For PR https://github.com/async-net/http-client/pull/902, the review concludes that the request is Unsupported and the code recommendation is Not worth completing. Should we report CI status or branch merge readiness in the maintainer report summary?
| Checked | Without skill | With skill |
|---|---|---|
| Output omits repository readiness classifications when recommendation is Not worth completing. | Missed | Passed |
The instructions your model reads when the skill loads.
Make a maintainer decision, not a generic code-review summary. Separate these questions:
Treat an issue's requested field, callback, flag, class, or implementation strategy as a proposed mechanism, not as the accepted requirement. Do not begin by asking how to implement it. First prove that a concrete user outcome is not already supported and that the proposed mechanism is better than the available alternatives.
Lead with the current review state. Use Preliminary assessment while decision-relevant evidence is pending, and Maintainer decision only when the review can be concluded. Use the diff, issue narrative, or contributor effort as evidence, not as a proxy for impact.
Related to does not transfer evidence of need to an adjacent extension. If the reported scenario has already been fixed, treat additional variants as new needs requiring their own evidence.Respect repository instructions for remote access and mutation. A review does not authorize comments, labels, branch changes, pushes, or other remote writes.
Complete this pass before deeply evaluating a proposed implementation and before any positive issue or PR assessment.
test cases passed, vs 16 / 24 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.