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 AeternaLabsHQ · MCP Server · ★ 484
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is pullmd safe to install? View the security audit →
PullMD Self-hosted URL-to-Markdown service for humans and AI agents. PullMD takes any web URL and returns clean, readable Markdown — no navigation, no ads, no boilerplate. It auto-detects Reddit threads (with full comment trees), uses Cloudflare's native Markdown when available, runs Mozilla Readability + Trafilatura on static HTML, and as a last resort renders JavaScript-heavy pages via headless Chromium (Playwright sidecar) before extracting. As of v3, PullMD goes beyond web pages: it also converts documents (PDF, Office, EPUB), images, audio, and YouTube videos to Markdown, and em
| Stars | 484 |
| Forks | 39 |
| Language | JavaScript |
| Category | MCP Server |
| License | AGPL-3.0 |
| Quality Score | 67.8618280351389/100 |
| Last Updated | 2026-09-21 |
| Created | 2026-04-27 |
| Platforms | browser, claude-code, docker, mcp, node |
| Est. Tokens | ~23k |
These tools work well together with pullmd for enhanced workflows:
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pullmd is Self-hosted URL- and file-to-Markdown service for humans and AI agents - web pages, documents, images, audio, YouTube. PWA + REST + MCP + Claude Code skill, Reddit-aware, refreshable share links.. It is categorized as a MCP Server with 484 GitHub stars.
pullmd is primarily written in JavaScript. It covers topics such as claude, claude-code, docker.
You can find installation instructions and usage details in the pullmd GitHub repository at github.com/AeternaLabsHQ/pullmd. The project has 484 stars and 39 forks, indicating an active community.
pullmd is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to pullmd on Agent Skills Hub include crw, crw, webclaw. 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: