No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by ianustec · LLM Plugin · ★ 60
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is openwebui-generate-documents safe to install? View the security audit →
Generate Documents — Native DOCX engine for Open WebUI Part of NEURA Office: native Word, PowerPoint and Excel for Open WebUI. A Open WebUI Tool that generates native Word (.docx) documents from Markdown (with YAML frontmatter) or a JSON spec produced by the model. It doesn't export HTML or PDF: it builds the document directly with , with a coherent design system — cover pages, numbered headings with rules, styled tables, callouts, code blocks, signatures, TOC and a running header/footer. The resulting file is saved through Open WebUI's Files API (with a fallback) and a clickable download link appears in the chat. License: MIT · Author: IANUSTEC Document generated from the example → . Features Native, editable .docx (text, tables and styles are editable in Word / Pages / LibreOffice). Dual input, auto-detected: Markdown-with-frontmatter (preferred) or JSON — same output. 7 templates with a coherent palette derived from a single color: , , , , , , . Cover pages: (accent panel), (editorial) or . Numbered headings (1, 1.1, 1.1.1) with H1/H2 accent rules —
| Stars | 60 |
| Forks | 4 |
| Language | Python |
| Category | LLM Plugin |
| License | MIT |
| Quality Score | 74.1067869249981/100 |
| Open Issues | 1 |
| Last Updated | 2026-08-17 |
| Created | 2026-07-09 |
| Platforms | browser, python |
| Est. Tokens | ~15k |
These tools work well together with openwebui-generate-documents for enhanced workflows:
Looking for a openwebui-generate-documents alternative? If you're comparing openwebui-generate-documents with other llm plugin tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
BrandDocs is a set of agent skills that learn your existing Word, PowerPoint and Excel templates and generate
Generate tracked-changes Word docs and redline PDFs from a contract review — the same deliverables lawyers act
The only MCP server that edits Word documents while they're open — 114 tools, live editing, tracked changes, p
Custom tools to enhance your Open-Webui Experience! 🚀
** THIS REPO HAS MOVED TO https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-mcp-adapters **
CLI for AI agents (Claude, Codex) to read, edit, and comment on .docx files with full format fidelity.
Explore other popular llm plugin tools:
openwebui-generate-documents is Native Word (.docx) generator tool for Open WebUI — Markdown/JSON in, cover pages, styled tables, callouts, TOC out. MIT.. It is categorized as a LLM Plugin with 60 GitHub stars.
openwebui-generate-documents is primarily written in Python. It covers topics such as ai-tools, document-generation, docx.
You can find installation instructions and usage details in the openwebui-generate-documents GitHub repository at github.com/ianustec/openwebui-generate-documents. The project has 60 stars and 4 forks, indicating an active community.
openwebui-generate-documents is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to openwebui-generate-documents on Agent Skills Hub include brand-docs, legal-redline-tools, word-mcp-live. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: