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Stock Analyzer

Checked
zhiruifeng·vlatest·data·MIT

Analyzes stock data to identify potential investment opportunities and trends, providing valuable insights for traders and investors.

Install on your platform

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

  1. 1

    Run this in your project

    terminal
    $ npx skills add zhiruifeng/localagentcrew --skill stock-analyzer -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

zhiruifeng

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 zhiruifeng/localagentcrew at 00a039e359.

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

Scanned
1 file, 268 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

What it does

The zhiruifeng-stock-analyzer skill provides analysis of publicly available stock data. It can retrieve and summarize information about specific stocks, including current price, historical performance, and potentially other relevant metrics. This allows users to quickly gain insights into the market without needing to navigate complex financial websites or tools.

When to use it

  • Quick Stock Check: Get a snapshot of a stock's current price and recent trends before making investment decisions.
  • Market Overview: Ask for summaries of specific sectors or industries to understand broader market conditions.
  • Research Assistance: Gather preliminary data on potential investments as part of a more in-depth research process.
  • Portfolio Monitoring: Track the performance of stocks within your portfolio over time.

Key capabilities

  • Stock price retrieval
  • Historical performance analysis
  • Summary generation
  • Data aggregation from public sources

Example prompts

  • "What is the current price of AAPL?"
  • "Summarize the recent performance of Tesla stock."
  • "Give me an overview of the technology sector."

Tips & gotchas

The skill relies on publicly available data, so accuracy and timeliness are dependent on those sources. It's not a substitute for professional financial advice.