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 gauss314 · Claude Skill · ★ 175
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is skills safe to install? View the security audit →
skills Open-source collection of skills compatible with the SKILL.md standard. Developed for the AI courses at UCEMA. Data — Global Skills that extract market data (quotes, historical, fundamentals, screener, etc). Multi-country / global coverage: US, Europe, Asia, and global aggregators. | 1
| Stars | 175 |
| Forks | 29 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 66.3080875337195/100 |
| Open Issues | 1 |
| Last Updated | 2026-06-14 |
| Created | 2026-06-02 |
| Platforms | claude-code, python |
| Est. Tokens | ~19k |
These tools work well together with skills for enhanced workflows:
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skills is Financial market data consumption skills for claude code and AI agents. It is categorized as a Claude Skill with 175 GitHub stars.
skills is primarily written in Python. It covers topics such as agentic-ai, agentic-skill, backtesting.
You can find installation instructions and usage details in the skills GitHub repository at github.com/gauss314/skills. The project has 175 stars and 29 forks, indicating an active community.
skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to skills on Agent Skills Hub include vibe-investing, notebooklm-mcp, awesome-openclaw. 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: