investor-lenses

Apply twelve named investor reasoning frameworks to pre-gathered evidence with ordered signals and hard disqualifiers.

32.2k|5.3k|Updated Apr 1, 2026
One-click install
npx skills add https://github.com/HKUDS/Vibe-Trading --skill investor-lenses
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: investor-lenses
Source: https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/investor-lenses
Command: npx skills add https://github.com/HKUDS/Vibe-Trading --skill investor-lenses

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Investment analysis often suffers from unstructured reasoning, confirmation bias, and cherry-picked evidence. This Skill provides twelve falsifiable analytical lenses distilled from publicly documented investor methodologies, each with ordered priority signals, hard veto rules, and documented failure modes, so verdicts are framework-conditional and checkable rather than opinionated assertions.

Core Features & Use Cases

  • Twelve reusable lenses: Graham deep value, Buffett quality franchise, Munger inversion, Fisher scuttlebutt, Lynch GARP, Marks cycle positioning, Dalio debt cycle, Chanos forensic short, Bogle cost drag, Duan Yongping right-business, Feng Liu weak-system contrarian, and Qiu Guolu three questions.
  • Disciplined stacking protocol: Run two or three disagreeing lenses independently, classify disagreements by root cause (horizon, caliber, risk preference, information), and never average verdicts.
  • Binding output contract: Every run produces a framework-conditional verdict, ordered signal walk, disqualifier check, misuse check, falsifiers, and confidence with its limiting factor.
  • Use Case: Given frozen evidence on an A-share stock down 50% on known bad news, run the Feng Liu weak-system lens stacked with the Chanos forensic lens to test whether the decline is exhausted sentiment or unresolved fraud risk.

Quick Start

Analyze this company under the Buffett quality-franchise lens using the financials I have already gathered, and report the verdict under the output contract.

Frequently Asked Questions about investor-lenses

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

FAQPage Schema
How do I analyze a stock using famous investor frameworks?

Freeze your evidence first, then select a lens by situation using the selection table, walk its priority signals in order, and check hard disqualifiers. Report the verdict as framework-conditional with falsifiers, never as a flat claim about the security.

Which investor lens should I use for a cheap stock analysis?

For asset-heavy or out-of-favour names, start with the Graham deep-value lens and stack Munger inversion or Qiu Guolu three questions. For asset-light compounders, Graham is blind; use the Buffett quality-franchise or Lynch GARP lens instead.

Can I combine multiple investor frameworks in one analysis?

Yes, but stack at most two or three lenses that can genuinely disagree, run each independently before comparing, and classify every disagreement by root cause. Never average verdicts, and report the losing lens's strongest point verbatim.

Do these investor lenses work for A-share and Hong Kong stocks?

Each lens file carries a market-fit note covering A-share and HK specifics such as pledge risk, administered pricing, and disclosure limits. Lenses like Feng Liu and Qiu Guolu are designed for these markets, while US-designed lenses need adjustment.

What are the limitations of investor-framework analysis?

Lens verdicts are conditional on the framework and are not investment advice or the named investor's opinion. Each lens documents regimes where it fails, such as Graham on asset-light businesses or Fisher where no primary sources are reachable.