markdowner — security grade SAFE, quality 67/100

Security audit verdict: SAFE · quality 67/100

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 supermemoryai · Agent Tool · ★ 2.0k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is markdowner safe to install? View the security audit →

About markdowner

Markdowner ⚡📝 A fast tool to convert any website into LLM-ready markdown data. 👀 Why? I'm building an AI app called Supermemory - https://git.new/memory. Where users can store website content in the app and then query it using AI. One thing I noticed was - when data is structured and predictable (in markdown format), the LLM responses are much better. There are other solutions available for this - https://r.jina.ai, https://firecrawl.dev, etc. But they are either: too expensive / proprietary or too limited. very difficult to deploy Here's a quote from my friend @nexxeln So naturally, we fix it ourselves ⚡ Features 🚀 Convert any website into markdown LLM Filtering Detailed markdown mode Auto Crawler (without sitemap!) Text and JSON responses Easy to self-host ... All that and more, for FREE! Usage To use the API, just make GET a request to https://md.dhr.wtf Usage example: REQUIRED PARAMETERS url (string) - The website URL to convert into markdown. OPTIONAL PARAMETERS (boolean: false) - Toggle for detailed response with full HTML content. (boolean: false) - Crawl and return markdown for up to 10 subpages. (boolean: false) - Filter out unnecessary information using LLM. Response

Quick Facts

Stars2,012
Forks147
LanguageTypeScript
CategoryAgent Tool
LicenseMIT
Quality Score67.4302057640872/100
Open Issues11
Last Updated2024-07-21
Created2024-05-09
Platformsbrowser, node
Est. Tokens~2k

markdowner alternative? Top 6 similar tools

Looking for a markdowner alternative? If you're comparing markdowner with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • notebooklm-skill by PleasePrompto · ⭐ 7.8k

    Use this skill to enable Claude Code to communicate directly with your Google NotebookLM notebooks. Query your

  • agent-skills by tech-leads-club · ⭐ 6.5k

    The secure, validated skill registry for professional AI coding agents. Extend Antigravity, Claude Code, Curso

  • excalidraw-diagram-skill by coleam00 · ⭐ 4.8k

    Skill to give Claude Code (and any coding agent) the ability to generate beautiful and practical Excalidraw di

  • raptor by gadievron · ⭐ 3.8k

    Raptor turns Claude Code into a general-purpose AI offensive/defensive security agent. By using Claude.md and

  • playwright-skill by lackeyjb · ⭐ 3.0k

    General-purpose Playwright automation for coding agents

  • chinese-novelist-skill by PenglongHuang · ⭐ 2.8k

    🎭 AI 写小说:从零生成 10-50 章完整中文小说,三层问答 · 创作记忆 · 悬念钩子 · 自动校验,长篇网文连载皆宜|开源免费,适配主流 coding agent|AI novel writing skill

More Agent Tool Tools

Explore other popular agent tool tools:

View all Agent Tool tools →

Popular TypeScript Agent Tools

Frequently Asked Questions

What is markdowner?

markdowner is A fast tool to convert any website into LLM-ready markdown data. Built by https://supermemory.ai. It is categorized as a Agent Tool with 2.0k GitHub stars.

What programming language is markdowner written in?

markdowner is primarily written in TypeScript.

How do I install or use markdowner?

You can find installation instructions and usage details in the markdowner GitHub repository at github.com/supermemoryai/markdowner. The project has 2.0k stars and 147 forks, indicating an active community.

What license does markdowner use?

markdowner is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to markdowner?

The top alternatives to markdowner on Agent Skills Hub include notebooklm-skill, agent-skills, excalidraw-diagram-skill. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

View on GitHub → Browse Agent Tool tools