Individual skill

benchmark-workflow

Run extraction benchmarks; score quality and manage fixtures or ground truth.

.ai-rulez/skills/benchmark-workflow/SKILL.md

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# Benchmark workflow

The benchmark system lives in `tools/benchmark-harness/`; the GitHub workflow is
`.github/workflows/benchmarks.yaml`. The workflow is dispatch-only, so it does not run on push or gate merges. Treat
a result as evidence for its exact commit SHA and inputs, not for newer local work.

## Ground-truth integrity

- Never use Xberg's own extractor output as benchmark ground truth. Use an independent source and record it in the
  fixture's `ground_truth.source` field (`manual`, `vision`, `pdf_text_layer`, `pandoc`, `python-docx`, and similar).
- Before blaming ground truth for a score, render or otherwise inspect the source document. If the derived `.md` or
  `.txt` disagrees with the source, fix the ground truth; if it agrees, investigate the extractor or metric.
- Use the fixture schema in `tools/benchmark-harness/README.md`, the generator at
  `tools/benchmark-harness/scripts/generate_markdown_gt.py`, and the harness `validate-gt` command implemented in
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