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Equity Research

Official
anthropics·vlatest·data·Apache-2.0

This skill analyzes financial data to generate equity research reports, providing insights for investment decisions and strategic planning.

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 anthropics/financial-services --skill equity-research -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

anthropics

Matched to the vendor's own GitHub organisation.

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 anthropics/financial-services-plugins at 574ed3624a.

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

Commit
574ed3624a
Manifest
plugins/partner-built/lseg/skills/equity-research/SKILL.md
Scanned
1 file, 58 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

This skill enables AI agents to perform professional-grade equity research, analyzing financial data and market trends to generate investment insights. It supports the evaluation of specific stocks or broader sectors by synthesizing complex information into actionable summaries.

When to use it

  • You need a quick fundamental analysis of a specific company before making an investment decision.
  • You want to compare the financial health and valuation metrics of multiple competitors in the same industry.
  • You require an overview of recent market-moving events affecting a particular sector or asset class.

Key capabilities

  • Analyzes financial statements, earnings reports, and market data for equities.
  • Generates comparative analysis between different companies within a specific industry.
  • Summarizes macroeconomic factors and news impacting stock performance.

Example prompts

  • "Provide a fundamental analysis of Apple Inc., including its P/E ratio, debt-to-equity, and recent revenue growth trends."
  • "Compare the financial stability and market positioning of Tesla and Rivian over the last fiscal year."
  • "What are the key drivers affecting the semiconductor sector's performance in Q3?"

Tips & gotchas

Ensure you provide specific ticker symbols or company names to get targeted results rather than general market commentary. While this skill synthesizes available data, always cross-reference critical investment decisions with official filings and professional financial advisors.