Alpha Vantage

What it does

When your agent uses it

• Fetching stock prices (OHLCV)
• Company fundamentals (income statement
• Market news/sentiment
• Insider transactions

Example prompts

• “/alpha-vantage”

Requirements

• Python 3
• A credential in ALPHAVANTAGE_API_KEY
• A credential in YOUR_KEY

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

1. 1Get a free key at https://www.alphavantage.co/support/#api-key (premium plans available for higher rate limits)
2. 2Set as environment variable

What it can do on your machine

Read from SKILL.md and the folder at commit efc0b96. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Shell commands in SKILL.md call:

  • uv

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  Hosts in commands or code, which the agent is likely to contact:

  • alphavantage.co

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names these keys or tokens, usually read from environment variables:

  • ALPHAVANTAGE_API_KEY
  • API_KEY

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Alpha Vantage loads about 1.6k tokens when it runs, and up to ~13k if it reads all its reference files. Until then it costs about 146 tokens; SKILL.md has 397 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~146

When it runs · the whole SKILL.md, loaded when a task matches

~1.6k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~13k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from agent-skills-hub/agent-skills-hub at commit efc0b96, republished under its MIT licence (© agent-skills-hub). 397 words, ~1,561 tokens.

name

alpha-vantage

description

Access real-time and historical stock market data, forex rates, cryptocurrency prices, commodities, economic indicators, and 50+ technical indicators via the Alpha Vantage API. Use when fetching stock prices (OHLCV), company fundamentals (income statement, balance sheet, cash flow), earnings, options data, market news/sentiment, insider transactions, GDP, CPI, treasury yields, gold/silver/oil prices, Bitcoin/crypto prices, forex exchange rates, or calculating technical indicators (SMA, EMA, MACD, RSI, Bollinger Bands). Requires a free API key from alphavantage.co.

license

Unknown

metadata.skill-author

K-Dense Inc.

export ALPHAVANTAGE_API_KEY="your_key_here"

uv pip install requests pandas

https://www.alphavantage.co/query?function=FUNCTION_NAME&apikey=YOUR_KEY&...params

import requests
import os

API_KEY = os.environ.get("ALPHAVANTAGE_API_KEY")
BASE_URL = "https://www.alphavantage.co/query"

def av_get(function, **params):
    response = requests.get(BASE_URL, params={"function": function, "apikey": API_KEY, **params})
    return response.json()

# Stock quote (latest price)
quote = av_get("GLOBAL_QUOTE", symbol="AAPL")
price = quote["Global Quote"]["05. price"]

# Daily OHLCV
daily = av_get("TIME_SERIES_DAILY", symbol="AAPL", outputsize="compact")
ts = daily["Time Series (Daily)"]

# Company fundamentals
overview = av_get("OVERVIEW", symbol="AAPL")
print(overview["MarketCapitalization"], overview["PERatio"])

# Income statement
income = av_get("INCOME_STATEMENT", symbol="AAPL")
annual = income["annualReports"][0]  # Most recent annual

# Crypto price
crypto = av_get("DIGITAL_CURRENCY_DAILY", symbol="BTC", market="USD")

# Economic indicator
gdp = av_get("REAL_GDP", interval="annual")

# Technical indicator
rsi = av_get("RSI", symbol="AAPL", interval="daily", time_period=14, series_type="close")

import time
# Add delay to avoid rate limits
time.sleep(0.5)  # 0.5s between requests on free tier

data = av_get("GLOBAL_QUOTE", symbol="AAPL")

# Check for API errors
if "Error Message" in data:
    raise ValueError(f"API Error: {data['Error Message']}")
if "Note" in data:
    print(f"Rate limit warning: {data['Note']}")
if "Information" in data:
    print(f"API info: {data['Information']}")

© agent-skills-hub, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 8 other files (references) in skills/alpha-vantage of agent-skills-hub/agent-skills-hub.

• SKILL.md
• references/commodities.md
• references/economic-indicators.md
• references/forex-crypto.md
• references/fundamentals.md
• references/intelligence.md
• references/options.md
• references/technical-indicators.md
• references/time-series.md

Open the folder on GitHubat commit efc0b96

Used in 2 other repositories

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in agent-skills-hub/agent-skills-hub, which our catalogue first saw on October 9, 2026.

• foryourhealth111-pixel/Vibe-Skillsbundled/skills/alpha-vantage
• LeonChaoX/qinyan-academic-skillsskills/15-金融与经济数据/alpha-vantage