defuddle-skill: Claude Code skill for defuddle - extract clean article content from web pages

by joeseesun · Claude Skill · ★ 112

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

How to install defuddle-skill

npx defuddle-skill
npx skills add joeseesun/defuddle-skill

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 66/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

Quick Facts

Stars112
Forks9
LanguageJavaScript
CategoryClaude Skill
Quality Score66/100
Last Updated2026-03-03
Created2026-03-03
Platformsbrowser, claude-code, node
Est. Tokens~1k

About defuddle-skill

defuddle-skill A Claude Code skill that wraps defuddle — extract clean article content from web pages, removing ads, sidebars, and clutter. Install Option 1: npx (recommended) This will: Install CLI globally (if not already installed) Copy the skill to Option 2: Vercel Skills CLI Option 3: Manual What it does Once installed, Claude Code can automatically extract clean content from any URL:...

defuddle-skill alternative? Top 1 similar tools

Looking for a defuddle-skill alternative? If you're comparing defuddle-skill with other claude skill tools, these 1 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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 Claude Skill tools