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Investor Lenses

OrganizationPopular
HKUDS
investor-lenses

Named investor reasoning frameworks packaged as reusable analytical lenses — 12 lenses (deep value, quality franchise, inversion, scuttlebutt growth, GARP, cycle positioning, debt cycle, forensic short, cost drag, right-business, weak-system contrarian, three questions) that stack on top of evidence already gathered, each with ordered priority signals, hard disqualifiers, and documented failure modes.

Overview

PublisherHKUDS
RepositoryVibe-Trading
Skill nameinvestor-lenses
Stars
33.6K
Forks
5.5K
Bundled files
12
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 12 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by HKUDS on GitHub. Read the source before you install it.

Installation

Install the Investor Lenses AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git /tmp/Vibe-Trading
mkdir -p .claude/skills
cp -r /tmp/Vibe-Trading/agent/src/skills/investor-lenses .claude/skills/investor-lenses
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Investor Lenses in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Investor Lenses on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Investor Lenses is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Investor Lenses

What a lens is

A lens is a reasoning procedure: a fixed, ordered set of questions plus explicit veto rules, distilled from one investor's publicly published methodology. It is applied after the evidence exists — it does not gather data and does not care where the data came from.

The value of a lens is that it is opinionated and therefore falsifiable. A lens tells you, before you look at the answer, which signals it ranks first and which facts make it walk away. Two lenses disagreeing on the same evidence is the product, not a bug: the disagreement localizes exactly which assumption the decision rests on.

What a lens is NOT

  • Not investment advice. Every lens output is an analytical exercise.
  • Not the named person's opinion. Each lens is a reconstruction, in our own words, of a methodology that investor has described publicly. It is not written by them, not endorsed by them, and may diverge from what they would say today.
  • Not a universal truth test. A lens verdict is conditional on the lens. "Fails the Graham lens" and "bad investment" are different statements.
  • Not a ranking of masters. No lens is more correct than another; each has a domain where it is sharp and a domain where it is reliably wrong.

The five-step run

  1. Freeze the evidence. Write down what is known before choosing the lens — financials, prices, disclosures, timelines. A lens applied to evidence collected after the lens was chosen is circular.
  2. Choose by the situation, never by the answer you want. Use the selection table below. If you are picking the lens because you already know its verdict, stop.
  3. Walk the priority signals in order. Each lens orders its signals for a reason. Do not jump to the signal you have the best data on.
  4. Hit a hard disqualifier → stop and report the veto. Disqualifiers are not weighted against positives. They end the run under that lens.
  5. Run the misuse check, then emit under the output contract. Every lens file lists the regimes where it fails. State explicitly whether the current case sits in one of them.

Lens index

LensStyleSharpest onBlindest onFile
Statistical deep value (Graham)Value / balance sheetCheap, boring, asset-heavy, wide-basketAsset-light compounders; single namesgraham-deep-value
Quality franchise (Buffett)Quality / durabilityDurable consumer & toll-road economicsFast-changing tech; deep cyclicalsbuffett-quality-franchise
Inversion (Munger)Risk / pre-mortemFinding the way this diesSizing an opportunity; timingmunger-inversion
Scuttlebutt growth (Fisher)Growth / qualitativeProduct & channel truth vs. reported numbersAnything you cannot reach people aboutfisher-scuttlebutt
GARP by category (Lynch)Growth at a priceMid-cap earnings compounding; retail-visible businessesFinancials; commodity cyclicalslynch-garp
Cycle positioning (Marks)Contrarian / risk-firstWhere we are in the greed–fear cycleSingle-company fundamentalsmarks-cycle-position
Debt cycle & uncorrelated bets (Dalio)Macro / allocationRates, currency, liquidity regime; portfolio shapeStock pickingdalio-debt-cycle
Forensic short (Chanos)Short / accountingAccounting distortion, value traps, structural declineLongs; anything you must be right about soonchanos-forensic-short
Cost drag & mean reversion (Bogle)Allocation / costWhether the activity itself is worth its costIndividual security selectionbogle-cost-drag
Right business, right people (Duan Yongping / 段永平)Quality / concentrationFounder-led A-share, HK and US-listed China namesDiversified baskets; turnaroundsduan-right-business
Weak-system contrarian (Feng Liu / 冯柳)Contrarian / positioningA-share names beaten down by known bad newsMomentum regimes; names with unresolved fraud riskfengliu-weak-system
Three questions (Qiu Guolu / 邱国鹭)Value / industry structureA-share and HK industry structure and pricing powerEarly-stage, structure-not-yet-formed industriesqiuguolu-three-questions

Choosing a lens

SituationStart withThen stack
"Is this cheap enough?" on an asset-heavy or out-of-favour nameGrahamMunger, Qiu Guolu
"Is this a great business?" on a stable franchiseBuffettDuan Yongping, Munger
"The story is wonderful, is it real?"FisherChanos, Munger
"It's grown 5 years, is the multiple sane?"LynchBuffett, Qiu Guolu
"Is the market euphoric or despairing right now?"MarksDalio
"What does the rates / currency / liquidity regime do to this?"DalioMarks
"The accounting smells"ChanosMunger, Fisher
"Should we be picking at all, or just allocating?"BogleMarks
A-share name down 50% on known bad newsFeng LiuChanos, Qiu Guolu
A-share / HK industry with consolidating competitive structureQiu GuoluBuffett, Duan Yongping
Founder-controlled company, governance is the swing factorDuan YongpingMunger, Chanos

Stacking protocol

Stacking is where lenses earn most of their value, but only under discipline.

  • Two or three lenses. Never more. Beyond three the output degenerates into a survey and the disagreements stop being legible.
  • Choose lenses that can actually disagree. Buffett + Duan Yongping mostly agree by construction; that stack is decoration. Buffett + Chanos, or Feng Liu + Munger, produce real tension.
  • Run each lens independently before comparing. Do not let lens 2 read lens 1's verdict. Cross-contaminated lenses collapse into one lens.
  • Classify every disagreement into exactly one root cause:
    • Horizon — same facts, different holding period (10-year certainty vs. next two quarters).
    • Caliber — the two lenses are measuring different quantities (owner earnings vs. reported net income; EV vs. market cap).
    • Risk preference — same expected value, different tolerance for the left tail.
    • Information — one lens needs a fact nobody has. Say which fact.
  • Never average the verdicts. A 2-to-1 split among lenses is not evidence of anything; lenses are not voters and they are not independent samples. Report the split and its root cause instead.
  • Report the losing lens's strongest point verbatim. If it cannot be stated fairly, the stack was not run honestly.

Anti-patterns

  • Lens shopping — running lenses until one agrees with the pre-existing conclusion, then reporting only that one. If a lens is run, it is reported.
  • Lens as authority — "Buffett would buy this" is a claim about a person and is unsupportable. "Under a quality-franchise lens, this passes the moat test and fails the price test" is a claim about a procedure and is checkable.
  • Biography instead of procedure — quoting temperament, anecdotes or life story in place of walking the signal list.
  • Silent disqualifier — noticing a hard veto and continuing to score anyway because the rest of the picture is attractive.
  • Lens applied out of market — a US-designed lens dropped onto an A-share name without adjusting for what the disclosure regime actually reveals. Each lens file carries a market-fit note; read it.
  • Retrofitting the evidence — going back to collect exactly the data the chosen lens rewards, after choosing the lens.

Output contract (binding on every lens)

Any output produced under this skill must contain, in this order:

  1. Lens name and one-line statement of what it optimizes for.
  2. Verdict, explicitly framework-conditional — phrased "under this framework, …", never as a flat assertion about the security.
  3. The ordered signal walk — each priority signal, the evidence found, and whether it passed. Missing evidence is written as missing, never inferred.
  4. Disqualifier check — every hard veto listed and marked triggered / not triggered / unknown.
  5. Misuse check — whether the current case sits in a regime where this lens is documented to fail.
  6. Falsifiers — the two or three observations that would flip the verdict, each concrete enough that someone could go check it.
  7. Confidence with its limiting factor — "medium, limited by the absence of segment-level disclosure", not a bare number.
  8. The standing disclaimer: this is an analytical framework, not investment advice, and the verdict is conditional on the framework used.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Investor Lenses AI skill do?

Named investor reasoning frameworks packaged as reusable analytical lenses — 12 lenses (deep value, quality franchise, inversion, scuttlebutt growth, GARP, cycle positioning, debt cycle, forensic short, cost drag, right-business, weak-system contrarian, three questions) that stack on top of evidence already gathered, each with ordered priority signals, hard disqualifiers, and documented failure modes.

Why use Investor Lenses on TypingMind?

Because you install it once and use it with any model. Investor Lenses is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Investor Lenses in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/investor-lenses. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Investor Lenses?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Investor Lenses?

As many as you like. As long as a model supports skills, you can use Investor Lenses with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Investor Lenses AI skill free?

Yes. It is published on GitHub by HKUDS under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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