by vikd1000
A stock picking tool that has 21 legendary investors like Warren Buffet, Peter Lynch, Michael Burry etc debate every stock pick and show you exactly where they agree, and where they don't. The second opinion your investment portfolio actually needs. No API key needed
# Add to your Claude Code skills
git clone https://github.com/vikd1000/investment-councilGuides for using ai agents skills like investment-council.
investment-council is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by vikd1000. A stock picking tool that has 21 legendary investors like Warren Buffet, Peter Lynch, Michael Burry etc debate every stock pick and show you exactly where they agree, and where they don't. The second opinion your investment portfolio actually needs. No API key needed. It has 51 GitHub stars.
investment-council's catalog security scan is still queued. You can run an instant dependency and prompt-injection check now with the "Scan for vulnerabilities" button above.
Clone the repository with "git clone https://github.com/vikd1000/investment-council" and add it to your Claude Code skills directory (see the Installation section above).
investment-council is primarily written in Python. It is open-source under vikd1000 on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh investment-council against similar tools.
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Investment Council is a tool that helps you research stocks. You give it a list of stock tickers (like AAPL for Apple) and how much money you have to invest. It then looks at each stock through the eyes of 21 famous investors — people like Warren Buffett and Michael Burry — and tells you what each one would think.
It runs on Claude Code, a tool that lets an AI read and write files on your computer step by step.
This tool does not buy or sell anything for you. It does not need a paid subscription besides Claude Code. It is for learning and research only — not real financial advice.

Want to see it in action first? Check out examples/sample-run/. It has a full sample report and an interactive dashboard, built with made-up stock data (the picture above is from it). You can look at that before you run anything yourself.
Most "AI stock picker" tools just give you one opinion. That opinion sounds confident, but it's really just one point of view dressed up to sound smart.
Investment Council does something different. It asks the same question to 21 different investors, each with their own style. One might love a stock. Another might hate it. You get to see all of that — including where they disagree — instead of one flat answer.
The disagreement is actually the useful part. If 5 out of 6 investors like a stock and one doesn't, that tells you something real.
This tool is also not a black box. Every step writes its work to a plain text file before the next step starts. You can open any of these files, read what it decided, change your mind about a piece of it, and the next step will use your correction. Nothing happens in secret.
The tool runs in six steps, one after another. You can stop and check the work after each step before moving to the next one.
flowchart TD
Q("`📝 **You fill in**
setup/questionnaire.md
tickers, capital, investors`")
S1["`🐍 **Step 1 - Fetch**
plain Python, no AI
pulls real prices and fundamentals, does the math`"]
subgraph AI["Claude Code takes it from here - one command per step"]
direction TB
S2["`**Step 2 - Investor Opinions**
each of the 21 investors writes what they think`"]
S3["`**Step 3 - Consensus**
lines up all opinions side by side, a heat map`"]
S4["`**Step 4 - Risk Sizing**
figures out how much of each stock is safe to buy`"]
S5["`**Step 5 - Decision**
BUY / ADD / HOLD / SELL / PASS, with reasons`"]
S2 --> S3 --> S4 --> S5
end
OUT("`📊 **Step 6 - Report**
investment brief and interactive dashboard.html`")
Q --> S1 --> S2
S5 --> OUT
classDef input fill:#0f172a,stroke:#d97757,stroke-width:2px,color:#f9fafb
classDef data fill:#0f2a1f,stroke:#34d399,stroke-width:2px,color:#f9fafb
classDef step fill:#1f2937,stroke:#818cf8,stroke-width:1px,color:#f9fafb
classDef output fill:#1f2937,stroke:#34d399,stroke-width:2px,color:#f9fafb
class Q input
class S1 data
class S2,S3,S4,S5 step
class OUT output
style AI fill:transparent,stroke:#374151,color:#9ca3af
You check the work after every step — nothing moves to the next one without you looking first.
The numbers are never made up. Step 1 is a plain Python script. It pulls real numbers (like stock price and profit margin) and does the math itself. The AI never invents a number — it only writes the reasoning in plain English, on top of numbers it was already given.
pip install -r requirements.txt
Open setup/questionnaire.md and fill in:
TICKERS — the stocks or funds you want to look atCAPITAL — how much money you have to investINVESTORS — which of the 21 investors to use (or just write all)HOLDINGS (optional) — stocks you already own, if you want advice on those toopython stages/01_fetch/fetch.py
This grabs live prices and numbers from Yahoo Finance. It's free, and you don't need an account or a password.
Open this folder in Claude Code. Then type each of these, one at a time, and wait for each to finish:
Run stage 02 — analyst signals
Run stage 03 — consensus
Run stage 04 — risk
Run stage 05 — decision
Run stage 06 — report
After each step, look at what it wrote. If you disagree with anything, change it before you move to the next step.
Your finished report is here: stages/06_report/output/investment_brief.md. There's also a dashboard.html file in the same folder — open it in any web browser to see it laid out visually.
Want more detail on every step? Read HOW_TO_USE.md.

validate.py) makes sure the two never drift apart.investment-council/
├── CLAUDE.md ← tells the AI how this whole thing works
├── CONTEXT.md ← a map of which step does what
├── HOW_TO_USE.md ← the full, detailed guide
├── setup/questionnaire.md ← you fill this in before each run
├── _config/
│ ├── investor-personas/ ← the 21 investor styles + 1 fund checker
│ ├── risk-rules.md ← how much of each stock is safe to buy
│ └── portfolio-rules.md ← how BUY/SELL/HOLD decisions get made
├── stages/
│ ├── 01_fetch/ ← pulls real data and does the math
│ ├── 02_analyst_signals/ ← each investor's opinion
│ ├── 03_consensus/ ← the heat map of agreement/disagreement
│ ├── 04_risk/ ← how big each position should be
│ ├── 05_decision/ ← the actual BUY/SELL/HOLD calls
│ └── 06_report/ ← the final report + dashboard
├── archive_run.py ← saves an old run before you start a new one
└── validate.py ← checks nothing has drifted out of sync
pip install -r requirements.txt installs them)This was built and tested using Claude Code. But it's not tied to Claude in a technical sense — it's really just plain text instructions plus a Python script, so any AI coding tool that can read and write files on your computer (like Cursor, Aider, Windsurf, or OpenAI's Codex CLI) should be able to run it too.
One thing to know: plain ChatGPT in your browser can't run this. It has no way to reach files on your computer.
One small difference you might notice: Step 2 normally has the AI open 21 separate mini-conversations at once (one per investor), which is a Claude Code feature. Other tools may need to go through the investors one at a time instead — that's already explained inside stages/02_analyst_signals/CONTEXT.md.
This project is for learning and research only. It does not buy or sell real stocks for you. Nothing it writes is financial advice. Always do your own research, and talk to a real financial advisor before you make investing decisions.
MIT — free to use, copy, and change.