by joeseesun · Claude Skill · ★ 112
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npx defuddle-skill
npx skills add joeseesun/defuddle-skill
Taken from the project's README on GitHub.
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.
| Stars | 112 |
| Forks | 9 |
| Language | JavaScript |
| Category | Claude Skill |
| Quality Score | 66/100 |
| Last Updated | 2026-03-03 |
| Created | 2026-03-03 |
| Platforms | browser, claude-code, node |
| Est. Tokens | ~1k |
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:...
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.
Report issues related to MCP integration with Claude here.
Explore other popular claude skill tools:
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: