# Augment Test

> Runs a data augmentation pipeline on a given input and reports pass/fail per transform, diagnosing failures against known issues.

- Skill: `samyakjhaveri/augment-test` (Agent Skill)
- Install (CLI): `npx skillmds add samyakjhaveri/augment-test`
- Raw SKILL.md: https://api.skillmd.com/api/skills/samyakjhaveri/augment-test/raw
- Safety review: PASS (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: DevOps & Infra
- Tags: Data Augmentation, Pipeline, Python, Testing
- Author: SamyakJhaveri (https://skillmd.com/u/samyakjhaveri)
- Updated: 2026-08-22
- Page: https://skillmd.com/skills/samyakjhaveri/augment-test

---


# 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