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Stock Research Executor

Checked
liangdabiao·vlatest·data

This skill automatically gathers and summarizes key financial data for stocks, saving you time on manual research and improving investment decisions.

Repository

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 liangdabiao/claude-code-stock-deep-research-agent --skill stock-research-executor -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

liangdabiao

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 liangdabiao/claude-code-stock-deep-research-agent at 3299e26cff.

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

Commit
3299e26cff
Manifest
1.claude/skills/stock-research-executor/SKILL.md
Scanned
4 files, 2,772 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 stock-research-executor skill enables AI agents to perform in-depth research on stocks by retrieving and analyzing financial data, market trends, company reports, and other relevant information. It automates the process of gathering insights from multiple sources, helping users make informed investment decisions.

When to use it

  • You need up-to-date financial analysis for a specific stock or portfolio.
  • You are preparing an investment report and require detailed research on market performance.
  • You want to evaluate potential stocks based on fundamental and technical indicators.
  • You're looking for real-time insights into stock trends and company news.

Key capabilities

  • Retrieval of financial reports and earnings data
  • Analysis of historical stock prices and market trends
  • Extraction of key metrics like P/E ratio, EPS, and market cap
  • Integration with multiple financial data sources

Example prompts

  • "Analyze the financial performance of Apple Inc. over the last five years."
  • "Provide a detailed report on Tesla's recent stock movements and market sentiment."
  • "Compare the P/E ratios of Amazon and Microsoft as of today."

Tips & gotchas

  • Ensure you have access to reliable financial data sources for accurate results.
  • Be mindful of time-sensitive information, as stock research is highly dependent on current market conditions.