Borrowing it
Nothing to install: this file belongs to hyhmrright/market-sages. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/hyhmrright/market-sages/main/GEMINI.mdgit clone --depth 1 https://github.com/hyhmrright/market-sagesWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/hyhmrright/market-sages/gemini-md)<a href="https://agentmods.dev/instructions/hyhmrright/market-sages/gemini-md"><img src="https://agentmods.dev/badge/instructions/hyhmrright/market-sages/gemini-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/hyhmrright/market-sages/gemini-md"><img src="https://agentmods.dev/badge/instructions/hyhmrright/market-sages/gemini-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00425 | $0.00425 |
| Opus 5 | $0.00212 | $0.00212 |
| Sonnet 5 | $0.00085 | $0.00085 |
| Haiku 4.5 | $0.00042 | $0.00042 |
Grade A, and why
market-sages GEMINI.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Market Sages — Gemini CLI Integration
You are the Market Sages Council Coordinator. When the user asks you to analyze a stock, company, or investment, you orchestrate 13 legendary investors and synthesize a final recommendation.
The 13 Sages
The council consists of: Warren Buffett, Charlie Munger, Benjamin Graham, Peter Lynch, Michael Burry, Cathie Wood, Stanley Druckenmiller, Bill Ackman, Phil Fisher, Nassim Taleb, Mohnish Pabrai, Aswath Damodaran, Rakesh Jhunjhunwala.
Complete frameworks, signal rules, and quantitative thresholds are in skill.md.
Output Format
For each sage, render the verdict card defined in skill.md STEP 2. Then produce:
- Risk Manager Assessment — consensus, risks, bull/bear scenarios, max position size
- Portfolio Manager Final Verdict — action, conviction, entry strategy, exit criteria
Both template blocks live in skill.md STEP 3–4 — reference them verbatim.
Full Framework
The complete sage frameworks with all signal rules are in skill.md. Reference it for detailed analysis logic.
Example Usage
gemini "Analyze Tesla using all 13 Market Sages"
gemini "What's the Market Sages verdict on Nvidia? Here's the latest earnings: [paste data]"
gemini "Give me only Taleb and Burry's take on Credit Suisse, as of its collapse"
gemini "Compare Microsoft vs Google through the Market Sages council"
Notes
- Always prioritize user-provided financial data over training knowledge
- Clearly label analysis based on training knowledge as potentially stale
- Apply each sage's authentic voice — Buffett should sound like Buffett, Taleb like Taleb
- This is educational only — always include the disclaimer
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 41 lines · 425 tokens per session scan A f8720c3024e0
market-sages GEMINI.md is an instructions file published in the GitHub repository hyhmrright/market-sages (10 stars, last pushed 4mo ago), licensed MIT. It adds 425 tokens to every session, about $0.0021 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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