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 dragon1086 · MCP Server · ★ 766
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is prism-insight safe to install? View the security audit →
PRISM-INSIGHT AI-Powered Stock Market Analysis & Trading System 13+ specialized AI agents collaborate to detect surge stocks, generate analyst-grade reports, and execute trades automatically. English | 한국어 | 日本語 | 中文 | Español 🏆 Platinum Sponsor AI3 | WrksAI AI3, creator of WrksAI - the AI assistant for professionals, pro
| Stars | 766 |
| Forks | 262 |
| Language | Python |
| Category | MCP Server |
| License | AGPL-3.0 |
| Quality Score | 64.3922558216657/100 |
| Open Issues | 7 |
| Last Updated | 2026-09-22 |
| Created | 2025-08-15 |
| Platforms | mcp, python |
| Est. Tokens | ~16k |
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prism-insight is AI-based stock analysis and trading system. It is categorized as a MCP Server with 766 GitHub stars.
prism-insight is primarily written in Python. It covers topics such as ai, llm, mcp.
You can find installation instructions and usage details in the prism-insight GitHub repository at github.com/dragon1086/prism-insight. The project has 766 stars and 262 forks, indicating an active community.
prism-insight is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to prism-insight on Agent Skills Hub include sre, aser, oreilly-ai-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: