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 bowenliang123 · Agent Tool · ★ 260
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is markdown-exporter safe to install? View the security audit →
Markdown Exporter An Agent Skill and Dify plugin to Export Markdown Into Powerful Documents Author: bowenliang123 GitHub Repo: markdown-exporter Markdown Exporter can be used as: Platforms & Installation
| Stars | 260 |
| Forks | 65 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 66.9825737700644/100 |
| Open Issues | 4 |
| Last Updated | 2026-08-13 |
| Created | 2025-01-17 |
| Platforms | python |
| Est. Tokens | ~20k |
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markdown-exporter is An Agent Skill and Dify plugin to transform Markdown to files of DOCX, PPTX, XLSX, PNG, PDF, HTML, MD, CSV, JSON, XML.. It is categorized as a Agent Tool with 260 GitHub stars.
markdown-exporter is primarily written in Python. It covers topics such as agent-skills, dify, dify-plugin.
You can find installation instructions and usage details in the markdown-exporter GitHub repository at github.com/bowenliang123/markdown-exporter. The project has 260 stars and 65 forks, indicating an active community.
markdown-exporter is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to markdown-exporter on Agent Skills Hub include AIPex, inkdown, zen. 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: