AI Agent Hub
Back to skills
Howard Marks Investment Analyzer icon

Howard Marks Investment Analyzer

Professional Updated 2026.08.29

Paste the following prompt into your AI chat to install this skill:

Install @user_231765ee/howardmarks using https://skillhub.cn/install/skillhub.md.

About this skill

Problem

Equity research often produces disconnected notes: the business looks strong, the valuation looks cheap, and sentiment looks fearful. This skill turns those judgments into an explicit Howard Marks-style checklist. It starts with where the market is in the greed-fear pendulum, then estimates value, compares price to value, stress-tests permanent-loss risk, and finally checks consensus and contrarian signals. That makes “buying well” a reviewable workflow rather than a slogan.

Workflow

The pipeline runs six dimensions in order:

  • Market environment: uses valuation levels, credit spreads, credit conditions, IPO heat, and “silver bullet” narratives to classify the pendulum position.
  • Intrinsic value: cross-checks DCF, comparable-company valuation, and asset-value floors, producing conservative, neutral, and optimistic ranges.
  • Margin of safety: compares the current price with the value range and maps the result to an A through E grade.
  • Risk identification: examines fundamentals, valuation, cycle, liquidity, and leverage, focusing on permanent loss rather than volatility.
  • Consensus: summarizes analyst ratings, institutional positioning, media narrative, and retail sentiment as the baseline expectation.
  • Second-level thinking: compares the current price with crowd expectations and independent judgment to spot neglected bargains or overheated stories.

The output includes a six-dimensional score, weighted total, key risks, and a disclaimer.

Boundaries

This is a value-investing framework and works best for stocks with usable fundamentals. It is less reliable for event-driven, thinly traded, or highly speculative names where data quality is poor. It does not replace real-time market data, compliance controls, or investment advice, and all conclusions should be treated as probabilistic judgments.

Use Cases

  • Run a six-dimensional stock review and check whether a margin of safety exists
  • Assess whether the market is greedy, neutral, or fearful and flag contrarian signals
  • Audit portfolio holdings for permanent-loss risk, leverage, liquidity, and valuation stress
  • Compare analyst, institutional, media, and retail consensus to spot second-level thinking

Best For

  • Buy-side equity researchers who need a consistent framework for valuation and risk review
  • Portfolio managers who want to check margin of safety and contrarian signals during stock selection
  • Value-oriented investors who want to identify mispriced stocks during extreme sentiment
  • Risk analysts who need to review permanent-loss risk and cyclical exposure in holdings