by georgezouq · Agent Tool · ★ 6.5k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 6,495 |
| Forks | 793 |
| Category | Agent Tool |
| License | CC0-1.0 |
| Quality Score | 52/100 |
| Open Issues | 26 |
| Last Updated | 2026-09-08 |
| Created | 2018-08-29 |
| Est. Tokens | ~22k |
Awesome AI in Finance There are millions of trades made in the global financial market every day. Data grows very quickly and people are hard to understand. With the power of the latest artificial intelligence research, people analyze & trade automatically and intelligently. This list contains the research, tools and code that people use to beat the market.
Looking for a awesome-ai-in-finance alternative? If you're comparing awesome-ai-in-finance with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows — particular
Tutorials, Guides and Agent Skills Directories
MCP server for market analysis in AI assistants: screeners, multi-timeframe technical analysis, backtests and
A curated list of Generative AI tools, works, models, and references
A curated list of awesome platforms, tools, practices and resources that helps run LLMs locally
Leaked GPTs Prompts Bypass the 25 message limit or to try out GPTs without a Plus subscription.
Explore other popular agent tool tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: