OpenDataLoader PDF

Parse PDFs into Markdown, JSON, or HTML with OCR, table extraction, and AI-enriched descriptions for building RAG pipelines and knowledge bases.

The skill looks like a legitimate PDF parser, but verify before you install or run anything: 1) Confirm the package source — find the opendataloader-pdf project on PyPI/GitHub and inspect the repository and release artifacts (the registry metadata currently lists no homepage/source). 2) Expect to run pip install which will fetch third-party code — only install from a trusted upstream and review the code if possible. 3) The hybrid backend opens a local port (default 5002); run it in a sandbox or controlled environment and ensure it does not inadvertently expose files or network access. 4) Be prepared to supply environment variables (JAVA_HOME, OPENDATALOADER_HYBRID_URL, and likely an LLM API key such as OPENAI_API_KEY) — treat those keys as sensitive and only provide them if you trust the package. 5) If you need higher assurance, ask the publisher for the canonical repository URL, versioned releases, and checksums, or run the package in an isolated VM/container and audit its network activity and files.

Type: OpenClaw Skill Name: opendataloader-pdf-zmy Version: 1.0.0 The skill bundle provides documentation and instructions for 'opendataloader-pdf', a utility for converting PDF documents into Markdown, JSON, and HTML for use in RAG pipelines. The content across SKILL.md and the reference files is consistent with its stated purpose, offering standard Python API examples, CLI usage, and LangChain integrations. There are no signs of malicious intent, data exfiltration, or harmful prompt injection; the tool even includes a '--sanitize' flag to mitigate potential injection risks within source PDFs.