.claude/skills/marker-pdfRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
Use when converting scanned PDFs or documents to markdown/JSON/HTML. Marker (Datalab) uses surya OCR for 90+ languages including Arabic.
These states come from the source or distribution context. None of the entries below are SkillVetAI compatibility test results.
These checks parse the fixed package against dated platform rules. They do not execute the Skill or verify task behavior.
.claude/skills/marker-pdfRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/marker-pdfRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/marker-pdfRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
This command is recorded from the source ecosystem and resolves the registry's latest release. The fixed release shown on this page should be inspected before adoption.
clawhub install @mina-atef-00/marker-pdfclawhub inspect @mina-atef-00/marker-pdf --version 1.0.0This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.
curl -LsSf https://astral.sh/uv/install.sh | shbase64curl -LsSf https://astral.sh/uv/install.shThis is registry-supplied evidence for the recorded release, not an independent SkillVetAI scan. Check the canonical source for the full report, scanner versions, scope, and current moderation state.
The catalog stores hashes and an inventory summary for change detection. It does not republish the package contents.
sha256:61725be035de2df0df1a740c5c5c019815325c4b5d6d69486eca7d6844cba30freferences/arabic-ocr-cleanup.mdSKILL.mdmarker-pdf 1.0.0 — Initial release - Converts scanned PDFs, images, DOCX, PPTX, HTML, and EPUB files into markdown, JSON, or HTML. - Uses Surya OCR to support over 90 languages, including Arabic, with layout detection. - Supports batch processing, table extraction, and preparation of documents for LLM ingestion (wiki, RAG, knowledge base). - Offers both CLI and Python API interfaces; integrates optional LLM for improved accuracy. - Includes performance tips, common troubleshooting advice, and recommended post-OCR cleanup steps, especially for Arabic text. - Supports Linux, macOS, and Windows platforms.