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 quant-sentiment-ai · Agent Tool · ★ 715
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-equity-research safe to install? View the security audit →
Claude Equity Research 🤖 Built entirely with Claude Code - demonstrating AI-native development workflows for professional-grade financial tools. Professional equity research and trading analysis powered by Claude AI, delivering institutional-grade investment insights with Goldman Sachs-style formatting and comprehensive risk assessment. What It Does Institutional-Grade Analysis: Generates professional equity research reports matching Wall Street standards AI-Powered Intelligence: Leverages Claude AI for comprehensive fundamental and technical analysis Real-Time Data Integration: Pulls live market data, earnings reports, and analyst coverage Risk-Adjusted Recommendations: Provides buy/sell/hold ratings with specific price targets and position sizing Advanced Market Intelligence: Includes options flow analysis, insider trading activity, and sector positioning Key Features Core Analysis Framework Executive Summary: Investment thesis with price target and 12-month timeframe Fundamental Analysis: Revenue growth, margins, peer comparisons, and forwar
| Stars | 715 |
| Forks | 81 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 75.2447648170222/100 |
| Last Updated | 2026-09-22 |
| Created | 2025-09-09 |
| Platforms | claude-code, python |
| Est. Tokens | ~10k |
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claude-equity-research is 🔌 Claude Code Plugin for institutional-grade equity research. Install with /plugin marketplace add. Generates professional buy/sell recommendations with comprehensive fundamental analysis, tech. It is categorized as a Agent Tool with 715 GitHub stars.
claude-equity-research is primarily written in Python. It covers topics such as ai-powered, claude-code, claude-code-plugin.
You can find installation instructions and usage details in the claude-equity-research GitHub repository at github.com/quant-sentiment-ai/claude-equity-research. The project has 715 stars and 81 forks, indicating an active community.
claude-equity-research is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to claude-equity-research on Agent Skills Hub include maverick-mcp, Opptrix, Mira. 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: