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benchmark
Use when user wants to Benchmark Tesseract tessdata model variants (fast vs best) for accuracy and speed tradeoffs
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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Use when user wants to Benchmark Tesseract tessdata model variants (fast vs best) for accuracy and speed tradeoffs
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Use 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.
| 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.py