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augment-testlisted

Data augmentation testing workflow. Use when testing a new augmentation transform, diagnosing transform failures on a specific input, or validating transforms against known-good baselines. Runs augmentation pipeline and reports pass/fail per transform.
SamyakJhaveri/loam · ★ 0 · Data & Documents · score 69
Install: claude install-skill SamyakJhaveri/loam
# Augmentation Testing Workflow Structured workflow for testing data augmentation or transformation pipelines on specific inputs. ## Arguments - `$ARGUMENTS` — input identifier or path to test ## Workflow ### Phase 1: Run Augmentation Execute the project's augmentation pipeline on the specified input: ```bash python3 <augmentation-script> <input> \ --level <N> --seed 42 -v ``` ### Phase 2: Analyze Results Check exit status and output for: - **BUILD_FAIL** — augmented output doesn't compile/parse - **TRANSFORM_FAIL** — transform itself errored - **RUN_FAIL** — compiled but crashed at runtime - **VERIFY_FAIL** — ran but produced wrong output - **PASS** — all good ### Phase 3: Diagnose Failures If the run failed, check against known bugs in `.claude/rules/known-issues.md`: - Cross-reference with documented failure patterns - Check if the input is in a known-failing list - Identify whether the failure is in the transform or the input ### Phase 4: Report ``` Input: <name> Augment Level: <N> Seed: <N> Result: PASS / FAIL (<type>) Diagnosis: <known bug reference or new finding> Transforms Applied: <list or "none"> ``` ### Phase 5: Escalate (if new bug) If the failure doesn't match any known bug: 1. Document the new bug with reproduction steps 2. Add it to `docs/known-failures.md` 3. Create a minimal reproduction case