regression-check
Plan regression checks for bug fixes, features, refactors, and release candidates. Use when Codex is asked to identify regression risk, define a regression test plan, verify a fix, choose smoke tests, or decide what must be retested after a code change.
Works with
--- name: regression-check description: Plan regression checks for bug fixes, features, refactors, and release candidates. Use when Codex is asked to identify regression risk, define a regression test plan, verify a fix, choose smoke tests, or decide what must be retested after a code change. license: MIT --- # Regression Check ## Core Workflow 1. Identify the changed behavior, affected surfaces, dependencies, and user journeys. 2. Map the change to known invariants, prior bugs, adjacent workflows, and compatibility requirements. 3. Define targeted tests for the direct fix and broader regression tests for likely side effects. 4. Separate automated coverage from manual, exploratory, visual, accessibility, performance, or data checks. 5. Specify test data, environment, permissions, feature flags, and observability needed for verification. 6. State residual risk and release gate recommendation. ## Safety Rules - Do not treat tests as passed unless output or evidence is available. - Do not rely only on happy-path checks for auth, billing, data, migrations, or customer-facing workflows. - Escalate when there is no reproducible baseline, missing test data, unclear owner, or high-risk production dependency. ## Deliverable Shape For regression work, provide: - Changed surface - Regression risk areas - Direct verification tests - Broader regression tests - Automation versus manual coverage - Test data and environment needs - Release gate recommendation - Residual risk ## References - Read `references/regression-check-checklist.md` when planning or reviewing regression coverage.
More Debugging skills
diagnosing-bugs
mattpocock/skills
Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.
explore-code
lllllllama/rigorpilot-skills
Rigor Improve implementation leaf skill for auditable candidate implementation in deep learning research repositories. Use when the researcher explicitly authorizes exploratory work on an isolated branch or worktree to transplant modules, adapt a backbone, add LoRA or adapter layers, replace a head, or stitch together meaningful low-risk migration ideas with rollback-aware records in `explore_outputs/`. Do not use for end-to-end exploration orchestration on top of `current_research`, trusted baseline reproduction, conservative debugging, environment setup, verified contribution claims, or default repository analysis.
safe-debug
lllllllama/rigorpilot-skills
Rigor Debug / Rigor Audit skill for deep learning research work. Use when the user pastes a traceback, terminal error, CUDA OOM, checkpoint load failure, shape mismatch, NaN loss symptom, or training failure and wants conservative diagnosis before any patching, with debug fixes clearly separated from research contributions. Do not use for broad refactoring, speculative adaptation, automatic exploratory patching, or general repository familiarization.

