claude-code-skill-scrapling: Claude Code skill for web scraping with scrapling - auto Fetcher selection, Cloudflare bypass, site patterns

by Cedriccmh · Claude Skill · ★ 444

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

Security audit verdict: SAFE · quality 71/100

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. Full audit →

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

Stars444
Forks56
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score71/100
Open Issues2
Last Updated2026-06-18
Created2026-03-11
Platformsbrowser, claude-code, python
Est. Tokens~3k

About claude-code-skill-scrapling

Claude Code Skill: Scrapling English | 中文 English A Claude Code skill for web scraping and data extraction using scrapling. Automatically selects the best Fetcher based on target website characteristics, generates and executes Python scripts.

Compatible Skills

These tools work well together with claude-code-skill-scrapling for enhanced workflows:

  • scrapai-cli — semantic(0.48)+complementary+same_lang+similar_pop+shared_platform (62%)
  • decodo-openclaw-skill — semantic(0.31)+complementary+same_lang+similar_pop+shared_platform (56%)
  • bria-skill — semantic(0.15)+complementary+same_lang+similar_pop+shared_platform (55%)
  • crawl4ai-mcp-server — semantic(0.25)+complementary+same_lang+similar_pop+shared_platform (54%)

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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:

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