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Financial Data Fetcher

Checked
gracefullight·vlatest·data

Retrieves real-time stock prices, historical financial statements, and key economic indicators from various sources.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Installs under a different name. Its SKILL.md names it Financial Data Fetcher, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add gracefullight/stock-checker --skill "Financial Data Fetcher" -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

gracefullight

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned gracefullight/stock-checker at 40a4dcb82e.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
40a4dcb82e
Manifest
.agents/skills/Financial Data Fetcher/SKILL.md
Scanned
2 files, 182 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

Financial Data Fetcher

What it does

This skill retrieves real-time stock market data, including current prices, historical trends, and key financial metrics for specific securities. It enables AI agents to analyze market movements and provide up-to-date investment insights directly within a conversation.

When to use it

  • Checking the latest price and performance of a specific stock symbol before making an investment decision.
  • Comparing historical data between two competing companies to identify growth patterns or volatility.
  • Gathering real-time market updates for a portfolio review or financial news summary.

Key capabilities

  • Fetches current stock prices and trading volumes.
  • Retrieves historical price data for trend analysis.
  • Provides key financial metrics associated with listed securities.

Example prompts

  • "What is the current price of AAPL and how has it performed over the last month?"
  • "Compare the historical trends of TSLA and NVDA over the past year."
  • "Give me a summary of the latest market data for GOOGL including its trading volume."

Tips & gotchas

Ensure you provide valid stock ticker symbols to avoid retrieval errors. Data accuracy depends on the availability of real-time feeds from supported financial exchanges.