openai/maintainer-review
Review a GitHub issue or pull request URL as an openai-agents-js maintainer, with a staged assessment of whether the claim is real, practically important, already solvable with supported functionality, correctly scoped, better served by another design, and worth maintainer and contributor effort. Use when assessing issue validity or severity, deciding whether an issue should be prioritized or closed, determining whether a requested feature represents an unmet need rather than a discoverability or usage gap, judging whether a PR is worth bringing to mergeable quality, comparing open PRs or alternative designs, separating code quality from repository readiness, or drafting a concise maintainer assessment. When closure, additional evidence, or code changes should be requested, also produce a polite, concise, complete, copy-paste-ready maintainer comment.
npx skills add https://github.com/openai/openai-agents-python --skill maintainer-review
Make a maintainer decision, not a generic diff summary. Separate these questions:
10. If competing PRs exist, which single implementation path should maintainers pursue?
11. Which ambiguous scope or semantic choices are maintainer-owned product/API decisions, and what concrete direction should the contributor implement?
12. What concise maintainer message should communicate closure, an evidence request, or required changes?
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 establish either a concrete unmet user outcome or a violated supported contract, then prove that the proposed mechanism is better than the available alternatives.
Lead with the current review state. Use Preliminary assessment while runtime approval or evidence is pending, and Maintainer decision only when the review can be concluded. Use the diff, issue narrative, and contributor effort as evidence, not as proxies 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.Use read-only GitHub access. On this laptop, do not run gh unless the user explicitly asks in the same turn. A review never authorizes comments, labels, branch changes, pushes, merges, or other remote writes.
Complete this pass before deeply evaluating a proposed implementation and before any positive issue or PR assessment.
First assign one Need evidence status:
Only Demonstrated need may receive Merge-worthy as-is or Merge-worthy after focused changes. For Plausible but unproven, prefer Needs evidence or Not worth completing; for Already covered or Unsupported, prefer closure or the relevant simpler alternative.
Do not treat a test proving that new code can work as evidence that the feature is needed. A FakeModel response, manually constructed provider item, mock, or new regression test can establish code-path reachability and implementation correctness; it does not by itself establish realistic provider behavior, user reach, frequency, practical consequence, or demand.
API symmetry, naming consistency, and parity with an adjacent tool, provider, or output type are design arguments, not evidence of need. Parity may justify work when it removes existing complexity or enforces a broad demonstrated invariant, but adding branches, tests, documentation, or public behavior requires independent practical justification.
If the need is not Demonstrated, inspect the patch only far enough to understand its contract, risk, and maintenance cost. Do not turn implementation defects, missing tests, or documentation gaps into a request-changes recommendation, because those questions become merge-blocking only after the need gate passes. If the report provides no concrete scenario, the existing functionality appears sufficient, or the requested mechanism solves only a hypothetical convenience problem, prefer Needs evidence, Close, Supersede with a simpler alternative, or Not worth completing over designing the requested feature on the reporter's behalf.
An existing workaround may change priority or solution shape, but it does not by itself erase a demonstrated correctness, security, compatibility, or lifecycle defect in supported behavior. Evaluate both the unmet outcome and the violated contract.
Do this before deeply evaluating a specified PR. A PR URL selects the starting point, not necessarily the entire comparison set.
Compare candidates on need coverage, runtime correctness, placement, tests, compatibility, complexity, readiness, remaining maintainer work, and reusable pieces. Prefer the best maintainable solution, not the first or smallest diff by default.
Always begin with a desk review. Inspect the real runtime path before judging a change as trivial or meaningful. Check callers, public exports, equivalent streaming/non-streaming or provider/runtime paths, persistence, cleanup, and focused tests. Inspecting test code is part of the desk review; executing tests, imports, examples, reproductions, benchmarks, or service calls is a runtime probe.
Start with .agents/references/README.md and open only the references for the affected boundary. Treat .agents/references/ as read-only background during review. Verify every current claim against the remote change, current source, tests, docs, release boundary, and runtime evidence. Do not infer issue status or PR correctness from a reference. Recommend a separate reference-maintenance change when review reveals a durable invariant unless the user explicitly includes that update.
Use this evidence order across the two stages:
Produce an initial result from static evidence before running code:
Before a positive assessment, complete the pass in step 2 and be able to state all of the following from concrete evidence:
If any answer is missing and could change whether code should exist at all, do not call the issue actionable or the PR merge-worthy. Request only the evidence needed to distinguish a genuine capability gap or contract violation from a usage, discoverability, or solution-design problem. This is a product and architecture evidence gap, not a runtime-probe trigger by itself.
Run this pass before any positive PR assessment when a patch adds, removes, or reorders cleanup, retry, reconnect, cancellation, listeners, shared promises or tasks, sockets or streams, state flags, or mutable state across an await, callback, event, or deferred completion.
A and B, across every suspension or re-entry point. Check A pending -> B starts -> A fails -> B succeeds, A pending -> B starts -> B fails -> A succeeds, close or cancellation between setup and completion, and a stale completion arriving after newer work.Do not mark a concurrency-sensitive patch Merge-worthy as-is merely because sequential reconnect, retry, failure, and close tests pass. If the code trace proves an unsafe interleaving, conclude from static evidence and request a focused fix and regression test. If ownership remains ambiguous, keep the result preliminary and request approval for the smallest decisive runtime probe.
Preliminary assessment, name the concern, propose the smallest decisive probe and control, and ask the user for approval to run it.Do not issue a definitive positive maintainer decision while a decision-relevant runtime concern remains unresolved. If the user declines the probe, keep the result preliminary and state the exact confidence limitation.
After explicit approval, run only the smallest probe needed to resolve the stated concern. Exercise the real public or internal path and include a base, release, or known-good control when relevant. Do not stop at a happy-path smoke check when failure behavior determines the decision. Return to the user for separate approval before expanding materially beyond the approved probe.
For latency, timeout, buffering, backpressure, or cleanup, measure an observable elapsed-time or state transition where feasible. Do not assume that a mocked unit test exercises real scheduling or provider behavior. Prefer a local probe first; use an approval-gated live-service probe only when local evidence cannot settle the decision.
Use $runtime-behavior-probe only when the user explicitly invokes it or approves using it for the proposed runtime work. Preserve its environment-variable, live-service, cost, cleanup, and reporting gates. Ordinary maintainer review must not depend on that skill.
For validation, cleanup, retries, interruption, background work, or concurrency:
Stop when additional evidence is unlikely to change validity, severity, or maintainer action.
Read the evaluation framework when validity, severity, or merge value is not immediately clear.
Assess claim validity, realistic reach, consequence, breadth, frequency, recoverability, compatibility, and severity. Keep observed facts separate from inference and name missing evidence that could change the result.
Report the Need evidence status before classifying the need as a capability gap, ergonomics or discoverability gap, unsupported use case, no demonstrated gap, or a defect in supported behavior. Do not assign practical impact to the absence of the requested mechanism when an existing supported workflow already produces the requested outcome. Do not infer practical importance merely from reachability, API asymmetry, or a technically successful patch.
For a PR, make Severity describe the underlying issue or user need. Report patch-induced regression, compatibility, lifecycle, or maintenance risk separately as Patch risk.
Do not speculate about AI authorship or contributor intent. Identify weak reports through objective evidence: no reproduction, unsupported input, impossible path, duplicated handling, a test that does not exercise the claim, or a fix that is a runtime no-op.
Use one code recommendation:
Merge-worthy as-is and Merge-worthy after focused changes are invalid unless Need evidence is Demonstrated. A bounded set of implementation fixes cannot promote a Plausible but unproven need into a merge-worthy recommendation.
For merge-worthy recommendations, use one repository-readiness status when useful:
Omit readiness for supersede/not-worth-completing recommendations; CI does not change those code decisions. Do not downgrade sound code only because CI is pending, and do not call a PR ready when semantic changes remain.
For competing PRs, make one portfolio recommendation: choose one, choose one after focused changes, combine exact pieces into one destination, replace all with a simpler approach, or merge none. State what should happen to every active candidate.
Always compare the proposed patch with the strongest existing supported approach and at least one alternative: no code change, validation or documentation, a narrower fix, reuse of an existing helper, or a different layer that enforces the invariant consistently. A review is incomplete if it establishes only that the patch works without establishing why the current product cannot meet the underlying need or violates a supported contract, and why this design is preferable.
When multiple plausible semantic scopes, compatibility boundaries, or public API contracts remain, do not ask the contributor to choose among maintainer-owned options. Decide the preferred scope from the evidence, compatibility contract, and product/API design principles, then request that specific change. If the evidence is insufficient to choose, mark the review preliminary or request maintainer input; do not present an open-ended implementation fork as the contributor's decision.
Choose the assessment language from the current user request and governing repository instructions. Maintainer comment drafts remain English.
Use the matching compact report in the evaluation framework. While runtime approval is pending, use its preliminary-assessment variant and end with the approval request instead of presenting a final recommendation. Keep the report decision-oriented, put unexpected/negative evidence first, and use no more than five evidence bullets by default.
For PRs, put Need evidence before the code recommendation. When the need is not Demonstrated, lead with that result, omit repository readiness, and avoid presenting patch fixes as the primary maintainer action.
When existing functionality or a better alternative materially affects the decision, state it explicitly in the evidence and recommendation. Name the exact supported path, what it does and does not cover, and why it is preferable. Do not bury a Not worth completing or Supersede with a simpler alternative conclusion beneath praise for implementation quality.
When recommending closure, more evidence, focused changes, or superseding a PR, append a polite, complete, copy-paste-ready English maintainer comment. Include only merge-blocking work in its required-action paragraph. Do not produce a line-by-line review unless requested, equate passing tests with merge-worthiness, or equate a logically correct patch with practical value.
For request-changes comments, phrase maintainer-owned semantic decisions as a directive, not as a menu. It is fine to mention the rejected alternative briefly in the rationale, but the requested action must identify the chosen behavior, scope, or compatibility boundary. Use "please do X because..." instead of "either do X or Y" when X versus Y changes the SDK contract or user-visible semantics.
references/evaluation-framework.md contains the severity rubric, evidence checks, lifecycle review, issue dispositions, PR value checks, documentation threshold, competing-PR framework, maintainer-comment guidance, and compact report variants.Take openai/maintainer-review from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.