skills/analyzing-regression-scope/SKILL.md
Analyzes diffs, changed files, hotfixes, and release candidates to identify where regression risk spreads and what must be retested first. Use when scoping retest after a change, reviewing QA impact for a pull request, or building a minimal confidence suite for release validation.
npx skillsauth add jaktestowac/awesome-copilot-for-testers analyzing-regression-scopeInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Use this skill when the real question is not "how do we test everything?" but "what must we retest now, and why?" It is built for risk-aware retest planning after code changes, configuration shifts, dependency updates, or release packaging.
Use the best available source:
Capture any known critical journeys, environments, or roles that matter.
Break the change into four layers:
Use a practical three-level scale:
| Risk | Use when | | --- | --- | | High | Direct change on a critical path, shared core module, data integrity flow, auth, checkout, notifications, or high-traffic workflow | | Medium | Indirect dependency, shared helper, UI shell, validation logic, or meaningful edge-case exposure | | Low | Isolated change with narrow blast radius and no obvious shared-path impact |
Organize the result into four buckets:
For every important area, include:
Use ./resources/regression-scope-template.md when possible.
A strong report includes:
./resources/regression-scope-template.md - structure for regression reports and confidence suitesdesigning-functional-tests - when the regression result should expand into manual scenarios or test casesverifying-acceptance-criteria - when the question becomes whether the feature now meets its stated contractrequirements-test-coverage-mapper - when broader traceability matters more than tactical retest scopecode-review-advanced - when the regression assessment should be paired with code-level risk reviewThis skill is complete when:
testing
Tests the customization assets themselves - skills, prompts, custom agents, instructions - the way a product is tested: activation cases that check an asset fires when it should and stays quiet when it should not, output-contract cases, safety cases, collision cases between assets competing for the same trigger, a weighted rubric scored blind, and a baseline-versus-candidate gate before an edit ships. Use when a skill is edited and nobody knows whether behaviour changed, when two skills fight over the same request, when a description is being tuned for discoverability, when a collection has grown past manual spot-checking, or when the request mentions skill evals, prompt regression, or "does this skill actually work".
development
Shapes QA output for the person who has to act on it: result and blocker in the first two lines, one decision per report, findings ordered by what they cost, the long artifact in a file and the decisions in the message, and magnitude stated in units the reader can count. Use when a report is accurate but nobody acts on it, when a finding set is too long to read under time pressure, when the same findings must be retold for a developer, a release manager, and an on-call engineer, or when the request mentions "too long", "make this readable", "just tell me what to do", "so what", or "summarize this for stakeholders". Pairs with unslop-answers, which makes the same report honest.
testing
Verifies that the lines and branches a change actually touched are executed by tests, using LCOV or Cobertura diff coverage instead of whole-repo percentages, and escalates uncovered high-risk changes into a blocking finding. Use when a pull request needs a coverage gate that unrelated tests cannot satisfy, when total coverage looks healthy but the diff is untested, when wiring diff coverage into CI, or when someone claims a change is covered because the suite is green.
development
Cuts AI tells from test code: tests that pass without proving anything, tautological assertions, mock-only tests, hardcoded waits, coverage theater, vague names, swallowed errors, retries used as fixes. Use whenever test code is written, changed, or reviewed, including tests produced as a side effect of a feature task, and when the request mentions "review these tests", "are these tests any good", "this test always passes", "this suite is flaky", or "clean up these tests". Must always apply to test code.