prism-insight: AI-based stock analysis and trading system

by dragon1086 · MCP Server · ★ 794

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install prism-insight

git clone https://github.com/dragon1086/prism-insight.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 64/100

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.

aillmmcpmulti-agentstock

Quick Facts

Stars794
Forks270
LanguagePython
CategoryMCP Server
LicenseAGPL-3.0
Quality Score64/100
Open Issues8
Last Updated2026-11-07
Created2025-08-15
Platformsmcp, python
Est. Tokens~16k

About prism-insight

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

Compatible Skills

These tools work well together with prism-insight for enhanced workflows:

  • vn_stock_advisor — semantic(0.54)+complementary+same_lang+similar_pop+shared_platform (64%)
  • ai-hedge-fund-crypto — semantic(0.25)+complementary+same_lang+similar_pop+shared_platform (54%)
  • mcp-aktools — semantic(0.51)+rare_topics+same_lang+similar_pop+shared_platform (52%)
  • LiteMultiAgent — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (52%)
  • stock-mcp — semantic(0.61)+same_lang+similar_pop+shared_platform (51%)

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How this security grade is produced

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:

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