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 SkeneTechnologies · AI Skill · ★ 52
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is skene-cookbook safe to install? View the security audit →
When you need an AI workflow without building it from scratch If you're trying to ship something like lead scoring, churn alerts, or a content pipeline without months
| Stars | 52 |
| Forks | 7 |
| Language | Python |
| Category | AI Skill |
| License | MIT |
| Quality Score | 67.9466945198281/100 |
| Last Updated | 2026-02-15 |
| Created | 2026-02-09 |
| Platforms | claude-code, python |
| Est. Tokens | ~540k |
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skene-cookbook is 700+ AI skills for Claude and Cursor — PLG, marketing, security, DevEx, and more. One command to install.. It is categorized as a AI Skill with 52 GitHub stars.
skene-cookbook is primarily written in Python. It covers topics such as ai, ai-skills, anthropic.
You can find installation instructions and usage details in the skene-cookbook GitHub repository at github.com/SkeneTechnologies/skene-cookbook. The project has 52 stars and 7 forks, indicating an active community.
skene-cookbook is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to skene-cookbook on Agent Skills Hub include Wazuh-MCP-Server, toolhive-studio, mcp-audit. 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: