by ZSeven-W · Codex Skill · ★ 147
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Research-backed, eval-driven skills for AI agents
| Stars | 147 |
| Forks | 14 |
| Language | Python |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 58.8026248250829/100 |
| Last Updated | 2026-09-05 |
| Created | 2026-08-03 |
| Platforms | codex, python |
| Est. Tokens | ~13k |
These tools work well together with craft-skills for enhanced workflows:
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craft-skills is Research-backed, eval-driven skills for AI agents. It is categorized as a Codex Skill with 147 GitHub stars.
craft-skills is primarily written in Python. It covers topics such as agent-skills, ai-agents, codex.
You can find installation instructions and usage details in the craft-skills GitHub repository at github.com/ZSeven-W/craft-skills. The project has 147 stars and 14 forks, indicating an active community.
craft-skills is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to craft-skills on Agent Skills Hub include ui-craft, agent-designer, ai-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: