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 guia-matthieu · MCP Server · ★ 145
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is clawfu-skills safe to install? View the security audit →
ClawFu Skills 175 expert marketing methodologies for AI agents. Free. Open source. MIT licensed. Dunford on positioning. Schwartz on copywriting. Cialdini on persuasion. Ogilvy on advertising. Hormozi on offers. Voss on negotiation. And 160+ more — encoded as structured, agent-readable instructions. Skills compound. Prompts don't. Install Claude Desktop / Claude Code / Copilot (MCP) Cursor / Windsurf Add to your MCP config: Clone as Claude Code skills directory Browse & download individual skills clawfu.com/skills Catalog 175 skills across 28 categories: pipeline forecasting, forecast scenarios, revenue attri
| Stars | 145 |
| Forks | 28 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 72.5844535549079/100 |
| Open Issues | 5 |
| Last Updated | 2026-04-02 |
| Created | 2026-01-31 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~216k |
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clawfu-skills is 172 expert marketing skills for AI agents — ClawFu MCP Server. It is categorized as a MCP Server with 145 GitHub stars.
clawfu-skills is primarily written in Python. It covers topics such as ai-skills, anthropic, claude-code.
You can find installation instructions and usage details in the clawfu-skills GitHub repository at github.com/guia-matthieu/clawfu-skills. The project has 145 stars and 28 forks, indicating an active community.
clawfu-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to clawfu-skills on Agent Skills Hub include Claude-Skills, marketplace, claude-skills. 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: