Name: benchmark-workflow
Author: xberg-io

Imported from xberg-io/xberg (.ai-rulez/skills/benchmark-workflow/SKILL.md). Install upstream with npx skills add xberg-io/xberg --skill benchmark-workflow. Copyright stays with the author.

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 tools/benchmark-harness/src/validate_gt.rs. Do not replace these with an ad-hoc conversion pipeline.
A quality claim requires the same corpus, config, renderer, cache state, and metric on control and experiment. Disable or invalidate extraction and OCR caches before A/B runs whose output behavior changed.

Diagnosing runs

Separate infrastructure failures from extraction or quality failures. A missing backend library, absent fixture, malformed artifact, or runner setup error does not describe extractor quality.
Inspect the per-adapter artifacts before the aggregate job. Aggregate contract failures may be caused by missing or unexpectedly named artifacts even when individual adapters ran.
Compare accepted OCR pages before raw word counts. Rejected OCR pages contribute neither text nor structured paragraphs.
Measure headings and lists using Markdown output. Plain output normalizes away list markers and cannot distinguish detection from rendering.
Do not quote a coverage, latency, or quality threshold unless the workflow or harness currently enforces it.

When changing harness behavior, add focused tests for the report or artifact contract and run the task that exercises the affected adapter before dispatching the remote workflow.

Install benchmark-workflow and it becomes one more candidate the router can pick - when it fits.

A listing is a routing target with a manifest: what it does, which domains it covers, what it costs and who publishes it. Once installed it sits beside your own models and tools, is scored like any other candidate for each request, and shows up in the trace when it wins. Ratings come from workspaces that installed it, one per account.

{ "ocm": "1", "id": "xberg-io-xberg-benchmark-workflow", "kind": "skill", "name": "benchmark-workflow", "description": "Run, diagnose, or change Xberg extraction benchmarks, quality scoring, benchmark fixtures, artifact contracts, and independently sourced ground truth. Load for the Benchmarks workflow or benchmark-harness work, not ordinary unit tests.", "publisher": "xberg-io", "version": "1.0.0", "capabilities": { "domains": [ "coding" ], "tags": [ "skill-md", "skills-sh" ], "languages": [ "en" ] }, "quality_prior": 0.6, "examples": [ "Run, diagnose, or change Xberg extraction benchmarks, quality scoring, benchmark fixtures, artifact contracts, and independently sourced ground truth. Load for the Benchmarks workflow or benchmark-harness work, not ordinary unit tests." ], "primary": false, "metadata": { "source": { "provider": "skills.sh", "repository": "https://github.com/xberg-io/xberg", "path": ".ai-rulez/skills/benchmark-workflow/SKILL.md", "ref": "HEAD", "url": "https://github.com/xberg-io/xberg/blob/HEAD/.ai-rulez/skills/benchmark-workflow/SKILL.md", "key": "xberg-io/xberg/.ai-rulez/skills/benchmark-workflow/SKILL.md" } }, "instructions": "# Benchmark workflow\n\nThe benchmark system lives in `tools/benchmark-harness/`; the GitHub workflow is\n`.github/workflows/benchmarks.yaml`. The workflow is dispatch-only, so it does not run on push or gate merges. Treat\na result as evidence for its exact commit SHA and inputs, not for newer local work.\n\n## Ground-truth integrity\n\n- Never use Xberg's own extractor output as benchmark ground truth. Use an independent source and record it in the\n fixture's `ground_truth.source` field (`manual`, `vision`, `pdf_text_layer`, `pandoc`, `python-docx`, and similar).\n- Before blaming ground truth for a", "cost": { "context_tokens": 565 } }

benchmark-workflow

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