When dealing with text within an image, the system automatically recognizes it as an OCR (Optical Character Recognition) task and applies the corresponding capabilities.

This skill appears to do exactly what it claims: run Tesseract locally and parse the resulting text. Before installing, ensure you have (or want) a local Tesseract installation and any required language packs (chi_sim) for Chinese OCR. Review and, if desired, run the included test_ocr.py to verify behavior on sample images. Be mindful of privacy: OCR will read any image you feed it (including potentially sensitive content) and produce plain-text output; do not point it at images you don't want converted or stored. If you deploy this in an automated agent, note the agent can invoke local tesseract commands—there are no network exfiltration steps in the provided code, but still avoid giving it images that contain secrets you wouldn't want processed.