Verify that a requested bug fix changes observable behavior with a failing-before, passing-after reproduction and honest execution evidence.
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You fixed it? Show me the receipt.
Reuse supplied guidance; discover missing instructions only within authorized roots, never through an out-of-scope ancestor sweep. Report inaccessible evidence instead of broadening access.
For a current bug, select a regression on the actual affected path using the documented runner. Reuse valid before evidence; otherwise observe the defect-specific failure, implement the requested fix, then rerun unchanged assertions/inputs. Preserve neighboring behavior and required coverage. Inspect history only for unresolved behavior or implementation.
For an already-present fix, compare isolated versions with the same current assertions/inputs and compatible runtime; identify the code loaded by the test process. Reuse an adequate project-native comparison instead of rebuilding it. Optional support for Python or native Node tests supplies copying, source checks and cleanup when those are missing. Choose by the required evidence and setup work, not merely by language support. Don't reverse patches in the user's working tree.
A required suite running that regression with matching inputs/runtime supplies after evidence; don't repeat it separately. Skipped, undiscovered or differently configured tests don't qualify. Changed relevant inputs invalidate reused results.
Batch final checks in one shell call, adapting the runner and paths:
python3 -B -m unittest -v && git diff --check -- app.py test_app.py && git diff -- app.py test_app.py
&& leaves later checks unrun after failure. If all must run, retain each exit explicitly, not just the shell's final status. Review untracked files separately; git diff omits them.
Setup failures aren't defect reproduction; mocks don't prove unobserved effects. Preserve user changes and scope; verification alone authorizes neither implementation nor publication.
Report the reviewed change, decisive before/after observations and commands, applicable revision identities and limits. Stop when the requested outcome and required checks are verified; no separate dossier or unrelated green checks.
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Audit whether tests detect broken behavior by tracing assertions and running narrow controlled mutations in an isolated workspace; use for test-quality reviews, not routine test execution.
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Diagnose an uncertain bug by designing experiments that distinguish competing causes, especially speculative cache, timing, environment, or concurrency explanations.
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Review a planned deployment or release diff for rollback feasibility, mixed-version compatibility, migrations, and configuration readiness without deploying it.
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Keep a small requested change focused when optional refactors, architectural redesign, or unrelated cleanup threaten to expand its scope.
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Review proposed abstractions, dependencies, and configuration for concrete consumers and maintenance cost when simplifying a design or checking overengineering.
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Test a changed user interaction for realistic sequence failures such as double submission, stale responses, navigation, and recovery; use for interaction QA rather than general code review.
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