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benchmark
Use when user wants to Benchmark Tesseract tessdata model variants (fast vs best) for accuracy and speed tradeoffs
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Use when user wants to Benchmark Tesseract tessdata model variants (fast vs best) for accuracy and speed tradeoffs
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | benchmark |
| description | Use when user wants to Benchmark Tesseract tessdata model variants (fast vs best) for accuracy and speed tradeoffs |
Run the Tesseract model benchmark against the current fixture corpus:
uv run python scripts/benchmark_tessdata_models.py
Review the output for:
After benchmarking, if switching tessdata models:
/corpus-replay to validate the new model against all failure corpus samplesscore_cutoff needs adjustment, see /threshold-change before committingsrc/autoscrapper/ocr/tesseract.pyUse when user wants to Run the Arc Raiders AutoScrapper validation stack after edits. Use for linting, typing, tests, workflow checks, and broader repo validation.
Use when user wants to Update Metaforge snapshots and bundled default rules
Use when user wants to Validate OCR changes against failure corpus before shipping
Add a new OCR regression fixture from an ocr_debug image. Use when a scan misidentified an item and you want to lock in the correct result as a test case.
Use when user wants to Run full validation, push branch, and open a PR with appropriate context notes
Workflow for safely adding, removing, or renaming persisted config fields in config.py. Use whenever editing dataclass fields in src/autoscrapper/config.py. Covers incrementing CONFIG_VERSION, writing a migration function, and validating the round-trip.