Use when the user wants regression hunting after a change. Identify nearby flows, shared code paths, error states, and configuration edges that may have broken even if the main fix works. Good triggers include "check for regressions", "what else might this have broken", and "test the surrounding area".
96
94%
Does it follow best practices?
Impact
98%
2.72xAverage score across 8 eval scenarios
Passed
No known issues
A backend engineer fixed a bug in a Python Flask API's search endpoint: previously, search results were returned unsorted; now they are sorted by relevance score descending. The engineer wants to make sure the fix didn't break anything in the surrounding search flow. Produce a regression scout report as report.md.
=============== FILE: inputs/search-service-overview.md ===============
api/search/views.py — search endpoint handler (CHANGED: added .sort() call on results)api/search/serializers.py — formats search results for API responseapi/search/filters.py — applies user query filtersapi/search/pagination.py — paginates result setsapi/auth/decorators.py — rate limiting and auth decorators applied to searchtests/search/test_views.py — view teststests/search/test_pagination.py — pagination testsevals
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skills
regression-scout