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 BaggaT236 · Agent Tool · ★ 122
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is AI-Trading-Skills safe to install? View the security audit →
Claude Trading Skills Build disciplined, repeatable trading workflows with a modern TypeScript platform. This repository gives you: a strict TypeScript CLI for workflow execution and metadata validation, a large skill catalog for market analysis, screening, and review loops, optional Redis-backed state caching for faster repeated runs. Designed for discretionary traders who want better process quality, not "black-box" auto trading. Educational use only. Not financial advice. Why This Repo Stands Out TypeScript-first runtime: strongly typed CLI, validators, config, and tooling. Skill-rich ecosystem: reusable modules for regime analysis, idea generation, sizing, and postmortems. Workflow orchestration: YAML-driven playbooks with clear decision gates. Production hygiene: strict lint/typecheck/test pipeline and deterministic builds. Flexible operation: runs locally with or without Redis. Quick Start (3 Minutes) If validation passes, you are ready. First Commands To Run Project Layout text claude-trading-skills/ ├── src/ # TypeScript ru
| Stars | 122 |
| Forks | 960 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 75.5293237767999/100 |
| Last Updated | 2026-09-14 |
| Created | 2026-06-25 |
| Platforms | claude-code, node, python |
| Est. Tokens | ~14k |
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AI-Trading-Skills is Ai agent claude trading skills for disiplined, repeatable trading workflows with a modern typescript platform. It is categorized as a Agent Tool with 122 GitHub stars.
AI-Trading-Skills is primarily written in Python. It covers topics such as agent-skills, ai-agent, ai-trading.
You can find installation instructions and usage details in the AI-Trading-Skills GitHub repository at github.com/BaggaT236/AI-Trading-Skills. The project has 122 stars and 960 forks, indicating an active community.
AI-Trading-Skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to AI-Trading-Skills on Agent Skills Hub include Franklin, skillport, awesome-trading-agents. 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: