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 skills add Jansen611/Agent-Skills --skill yahoo-finance-pythongit clone --depth 1 https://github.com/Jansen611/Agent-SkillsWrote 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/skills/jansen611/agent-skills/yahoo-finance-python)<a href="https://agentmods.dev/skills/jansen611/agent-skills/yahoo-finance-python"><img src="https://agentmods.dev/badge/skills/jansen611/agent-skills/yahoo-finance-python/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/skills/jansen611/agent-skills/yahoo-finance-python"><img src="https://agentmods.dev/badge/skills/jansen611/agent-skills/yahoo-finance-python.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 | $0.00096 | $0.01335 |
| Opus 5.5 | $0.00038 | $0.00534 |
| Sonnet 5.5 | $0.00019 | $0.00267 |
| Haiku 4.5 | $0.00010 | $0.00134 |
Grade A, and why
yahoo-finance-python 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 1mo 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 — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Yahoo Finance Python Skill
Fetch financial & market data from Yahoo Finance using ranaroussi/yfinance.
Pre-Check
Before using yfinance, follow this check sequence:
Step 1: Check if the yfinance module is importable
python -c "import yfinance" 2>/dev/null && echo "found" || echo "not found"
# or check in ~/.venv
~/.venv/bin/python -c "import yfinance" 2>/dev/null && echo "found in venv" || echo "not found in venv"
If found → skip to Usage.
Step 2: Check if ~/.venv exists
test -f ~/.venv/bin/python && echo "venv exists" || echo "venv not found"
If not found, create it:
python3 -m venv ~/.venv
Step 3: Install yfinance into ~/.venv
~/.venv/bin/pip install yfinance
After installation, verify:
~/.venv/bin/python -c "import yfinance; print(yfinance.__version__)"
Usage
All Python code below should be run with ~/.venv/bin/python to ensure the module is available.
Import
import yfinance as yf
Single Ticker
# Create a Ticker object
msft = yf.Ticker("MSFT")
# Get general info
info = msft.info
print(info.get("shortName"))
print(info.get("currentPrice"))
print(info.get("marketCap"))
print(info.get("sector"))
Historical Price Data
# Get historical price data
hist = msft.history(period="1mo") # 1 day, 5d, 1mo, 3mo, 6mo, 1y, 2y, 5y, 10y, ytd, max
hist = msft.history(start="2025-01-01", end="2025-12-31") # date range
hist = msft.history(period="1mo", interval="1h") # 1m, 2m, 5m, 15m, 30m, 60m, 90m, 1h, 1d, 5d, 1wk, 1mo, 3mo
# Returns a pandas DataFrame with: Open, High, Low, Close, Volume, Dividends, Stock Splits
print(hist)
Multiple Tickers (Download)
# Download data for multiple tickers at once
data = yf.download("AAPL MSFT GOOGL", period="1mo")
print(data)
# Or with a list
tickers = ["AAPL", "MSFT", "GOOGL"]
data = yf.download(tickers, period="6mo")
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 200 lines · 96 tokens per session scan A a6d819622a4c
yahoo-finance-python is a skill published in the GitHub repository Jansen611/Agent-Skills (2 stars, last pushed 17d ago), licensed MIT. It adds 96 tokens to every session and 1,335 once invoked, about $0.0004 per session on Opus 5.5. 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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