Visible Text Extractor

Extract and reconstruct as much visible text as possible from webpage URLs, article pages, screenshots, long images, image directories, and GIFs. Use when th...

This skill appears to do what it says, but before running it you should: (1) confirm required runtime tools exist (node, ffmpeg, Python, the local OCR stack referenced at /root/.openclaw/.../ocr-local and any virtualenv); the package metadata currently does not declare these dependencies, so expect runtime errors otherwise; (2) be aware it downloads arbitrary images/frames referenced by pages and writes temp files — if pages contain internal URLs this could cause server-side requests to your internal network (SSRF-like behavior); (3) the scripts optionally send the produced docx to Feishu when a receive-id is supplied — do not provide a receive-id unless you trust the destination; (4) review or supply trusted implementations for the referenced external scripts (ocr.js, feishu_file_sender.py) since the skill delegates OCR and delivery to them; (5) run the skill in an isolated environment (or sandbox) if you plan to process sensitive pages. If the publisher updates the package metadata to list required binaries and external script dependencies explicitly (and documents the optional Feishu delivery clearly), and if you verify the referenced local scripts are trusted, this assessment could be upgraded to benign.

Type: OpenClaw Skill Name: visible-text-extractor Version: 1.2.0 The skill bundle provides extensive capabilities for web scraping, browser automation (Playwright), and OCR, which involve high-risk behaviors such as arbitrary network requests and shell command execution via subprocess. It includes a feature to send extracted documents to external Feishu recipients using a separate local skill (feishu-file-sender). While these capabilities are aligned with the stated purpose of extracting and delivering text from various media, the broad access to the network, file system, and local command execution environment warrants a suspicious classification under the provided criteria. Key files include extract_visible_text.py for web/OCR logic and build_authorized_capture_docx.py for the delivery pipeline.