Pdf Vision

Extract text content from image-based/scanned PDFs using multiple vision APIs with automatic fallback. Supports Xflow (qwen3-vl-plus) and ZhipuAI (GLM-4.6V-F...

This skill's main OCR functionality appears coherent and reasonable: it converts PDF pages to images, reads your OpenClaw config for provider baseUrls/apiKeys, and posts image data to those endpoints. However, two red flags should be addressed before installing or running it: 1) Unrelated GitHub helper script: scripts/create_github_repo.py is unrelated to PDF extraction and will attempt to find and use a GITHUB_TOKEN (from the environment or by parsing ~/.bashrc) to call the GitHub API. Only run that script if you understand and trust it; otherwise remove or ignore it. Storing tokens in shell RC files is risky—prefer a dedicated credential store. 2) Residual test artifacts: test_skill.sh contains a hardcoded user-specific PDF path (author-local); review and update or delete it to avoid accidental execution that references your filesystem. Recommended actions before installation: - Inspect and (if not needed) delete or move scripts/create_github_repo.py from the skill directory. - Search the skill for any other helper scripts that access credentials or user files and remove or sandbox them. - Run the main extraction script in a sandboxed environment (isolated user account or container) first and verify it only reads ~/.openclaw/openclaw.json and /tmp files. - Ensure your OpenClaw config stores only the credentials you intend to use and is not world-readable. If the repository owner clarifies that the GitHub script is intentionally included (e.g., convenience for packaging) and documents it in SKILL.md, and if you plan to use it only in a controlled way, this lowers the concern. If you cannot get that clarification, treat the extra scripts as suspicious and remove them before use.