Affected Verification
Select relevant project-owned checks for an observed change and produce an evidence-based verification report that distinguishes passed, failed, skipped, blocked, and not-run checks.
Diagnose failures, design meaningful tests, review interfaces, and evaluate delegated work.
Select relevant project-owned checks for an observed change and produce an evidence-based verification report that distinguishes passed, failed, skipped, blocked, and not-run checks.
Investigate a reproducible software failure by separating observations from explanations, testing competing hypotheses, and verifying a minimal repair against the original failure.
Turn a feature or bug contract into focused tests with explicit input partitions, observable outcomes, boundary cases, and evidence that the tests detect the behavior they are meant to protect.
Review a rendered web interaction for usability, responsive layout, keyboard behavior, state handling, and implementation defects, producing reproducible findings rather than a generic design checklist.
Evaluate whether delegation improves accepted task outcomes using matched inputs, independent checks, repeated sessions, and explicit handoff/integration scoring.
Test a selected controller against deterministic readiness, restart, cancellation, retention, stale-attempt, and independent-acceptance scenarios before deployment.
Evaluate one harness change with a fixed workload, explicit limits, all-attempt accounting, independent integration evidence, and a review decision that preserves unfinished work.
Produce evidence-linked technical-debt findings with consequences, deliberate tradeoffs, bounded repair targets and independent reproduction checks rather than a style-driven rewrite list.
Read-only research, debt, storyboard and explanation checks, plus local static-site audits and bounded media probe/decode verification.
Analyze predeclared engineering comparisons with complete task and attempt records, correct pairing and explicit uncertainty instead of equating fewer tokens with better results.
Inspect authorized local evaluation data for units, missingness, duplicate attempts, task coverage and grouping before calculating engineering comparisons.
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