Investment Researcher

Produces investment research reports with valuation models, due diligence checklists, and risk analysis.

2|Updated May 21, 2026
One-click install
npx skills add https://github.com/tcvdog/agency-agents-hermes --skill investment-researcher-tcvdog
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Investment Researcher
Source: https://github.com/tcvdog/agency-agents-hermes/tree/main/finance/investment-researcher
Command: npx skills add https://github.com/tcvdog/agency-agents-hermes --skill investment-researcher-tcvdog

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Investment decisions often rely on narratives rather than rigorous analysis, leading to missed risks and poorly supported theses. This Skill structures market research, due diligence, and portfolio analysis into institutional-quality reports with quantified bull and bear cases. ## Core Features & Use Cases - Fundamental & Quantitative Analysis: Financial statement review, competitive moat assessment, DCF and comparable valuation models, and risk metrics like Sharpe ratio and maximum drawdown. - Due Diligence Frameworks: Checklists covering financial, operational, market, and legal DD for private companies and M&A targets. - Structured Report Templates: Ready-to-use investment research report and due diligence report templates with catalyst tables, thesis breakers, and scenario-weighted price targets. - Use Case: Ask for a full research report on a public company and receive a thesis with bull/bear cases, DCF scenarios, peer comps, financial summary, and defined exit triggers. ## Quick Start Ask the agent to write an investment research report on a specific company or asset, including valuation scenarios, key catalysts, and thesis breakers.

Frequently Asked Questions about Investment Researcher

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I write an investment research report on a stock?▼

Provide the company name or ticker and the agent produces a structured report with an investment thesis, bull and bear cases, DCF and comparable valuation tables, financial summary, catalysts, and thesis breakers. You can specify rating, price target, and investment horizon.

What valuation methods does investment research analysis use?▼

The analysis covers DCF with scenario weighting, comparable company analysis, sum-of-parts, residual income, and dividend discount models. It also applies risk metrics like beta, Value-at-Risk, Sharpe ratio, and maximum drawdown.

Can this be used for private company due diligence?▼

Yes, it includes due diligence checklists for private companies and M&A covering financial, operational, market, and legal review. It addresses revenue verification, customer concentration, technology assessment, and red flag identification.

What data sources should investment research rely on?▼

The methodology prioritizes primary sources: SEC filings via EDGAR, earnings transcripts, and industry data from providers like Bloomberg, FactSet, and PitchBook. It explicitly avoids relying on blog posts, social media, or sell-side summaries.

What are the limitations of AI-generated investment research?▼

The agent cannot access real-time market data or execute live Bloomberg queries on its own, so you must supply current financials and filings. Outputs are analytical frameworks and should be verified against primary sources before any investment decision.