Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/yennanliu/investskill/gemini-mdgit clone --depth 1 https://github.com/yennanliu/InvestSkillWrote 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/yennanliu/investskill/gemini-md)<a href="https://agentmods.dev/instructions/yennanliu/investskill/gemini-md"><img src="https://agentmods.dev/badge/instructions/yennanliu/investskill/gemini-md.svg" alt="Measured on agentmods" 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 | $0.03074 | $0.03074 |
| Opus 5 | $0.01537 | $0.01537 |
| Sonnet 5 | $0.00615 | $0.00615 |
| Haiku 4.5 | $0.00307 | $0.00307 |
Grade A, and why
InvestSkill 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 5d 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.
How it starts
The opening of the file, as written. The whole thing — 388 lines — stays where its author put it; the contents beside it link to each section on GitHub.
InvestSkill — Gemini CLI Setup & Usage Guide
This project contains professional investment analysis prompt frameworks for US stock markets. When you run Gemini CLI in this directory, all 26 analysis frameworks are automatically available.
Installation & Setup
Quick Start
# Navigate to the InvestSkill directory
cd /path/to/InvestSkill
# Start Gemini CLI (loads GEMINI.md automatically)
gemini
That's it! Gemini CLI automatically loads GEMINI.md and gives you access to all 26 analysis frameworks in the prompts/ directory.
Verify Setup
When you first run gemini, you should see context about InvestSkill loaded. Then in the chat:
> @prompts/stock-valuation.md AAPL
# This should invoke the stock valuation framework
Available Analysis Prompts (26 frameworks + 1 output tool)
Core Stock Analysis (6 skills)
| Analysis Type | Prompt File | Usage Example |
|---|---|---|
| Stock Evaluation | @prompts/stock-eval.md |
Evaluate AAPL using this framework |
| Stock Valuation (DCF+) | @prompts/stock-valuation.md |
Analyze MSFT using all valuation methods |
| Fundamental Analysis | @prompts/fundamental-analysis.md |
Deep dive on NVDA fundamentals |
| Technical Analysis | @prompts/technical-analysis.md |
Analyze TSLA chart patterns |
| DCF Valuation | @prompts/dcf-valuation.md |
Build DCF model for GOOGL |
| Economics Analysis | @prompts/economics-analysis.md |
What's the current economic outlook? |
Financial Report Analysis (3 skills)
| Analysis Type | Prompt File | Usage Example |
|---|---|---|
| Financial Report Analyst | @prompts/financial-report-analyst.md |
[paste 10-K] Analyze this filing |
| 10-K Report Digest | @prompts/10k-digest.md |
NVDA FY2024 --lang zh-TW (EN or 繁中) |
| Earnings Call Analysis | @prompts/earnings-call-analysis.md |
[paste transcript] Analyze sentiment |
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.
- 5d ago First seen · 388 lines · 3,074 tokens per session scan A 9bd05a01e7f5
InvestSkill GEMINI.md is an instructions file published in the GitHub repository yennanliu/InvestSkill (199 stars, last pushed today), licensed MIT. It adds 3,074 tokens to every session, about $0.0154 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 2026-08-30.
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