add pdftomd

.codex/skills/fixture-evaluation/SKILL.md

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+---
+name: fixture-evaluation
+description: Plan local fixture-based quality checks for this MinerU PDF-to-Markdown converter using samples/ without committing sample PDFs. Use when Codex needs to define sample coverage, quality metrics, regression checks, JSON metadata assertions, or human-readable .report.md expectations.
+---
+
+# Fixture Evaluation
+
+## Overview
+
+Use this skill to turn local sample PDFs into a small, repeatable quality plan. Keep samples local and untracked unless the user explicitly asks to commit them.
+
+## Workflow
+
+1. Read `PLAN.md` and `PROGRESS.md` first.
+2. Inspect `samples/` only enough to understand fixture categories and filenames.
+3. Map each fixture to risks: math, tables, multi-column reading order, figures/assets, Korean filenames, and metadata coverage.
+4. Separate fast checks using mocked MinerU outputs from optional checks that require MinerU models, GPU, or long execution.
+5. Define metrics for both JSON metadata and `<stem>.report.md`.
+6. Update `PROGRESS.md` with fixture coverage and gaps.
+
+## Guardrails
+
+- Do not commit sample PDFs.
+- Do not copy samples into tracked fixtures without explicit user permission.
+- Do not make GPU/model-dependent checks mandatory for the default fast loop.
+- Do not grade only plain-text edit distance; include math, tables, reading order, assets, metadata, and renderability.
+
+## Reference
+
+Read `references/evaluation-metrics.md` when defining fixture coverage, regression criteria, or report fields.