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 Decodo · Agent Tool · ★ 151
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is decodo-openclaw-skill safe to install? View the security audit →
Decodo Scraper OpenClaw Skill Overview This OpenClaw skill integrates Decodo's Web Scraping API into any OpenClaw-compatible AI agent or LLM pipeline. It exposes these tools that agents can call directly: Market research, competitor analysis, news mo
| Stars | 151 |
| Forks | 4 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 74.8578651012717/100 |
| Open Issues | 1 |
| Last Updated | 2026-03-10 |
| Created | 2026-02-12 |
| Platforms | browser, python |
| Est. Tokens | ~2k |
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decodo-openclaw-skill is OpenClaw skill for scraping any URL using the Decodo Web Scraping API.. It is categorized as a Agent Tool with 151 GitHub stars.
decodo-openclaw-skill is primarily written in Python. It covers topics such as ai-agent, ai-tools, automation.
You can find installation instructions and usage details in the decodo-openclaw-skill GitHub repository at github.com/Decodo/decodo-openclaw-skill. The project has 151 stars and 4 forks, indicating an active community.
The top alternatives to decodo-openclaw-skill on Agent Skills Hub include camofox-mcp, Overture, bottube. 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: