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Initiating Coverage

Official
anthropics·vlatest·other·Apache-2.0

This skill automatically generates relevant context and supporting information to ensure comprehensive responses across diverse topics – boosting accuracy & depth.

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 initiating-coverage -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/vertical-plugins/equity-research/skills/initiating-coverage/SKILL.md
Scanned
9 files, 6,140 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 allows an AI agent to generate initial research reports, often called "initiating coverage," for financial assets like stocks or bonds. It synthesizes available data and presents a preliminary investment thesis, including potential risks and rewards. The output includes key metrics and a suggested rating (e.g., Buy, Hold, Sell).

When to use it

  • Investment Research: Quickly generate an initial assessment of a publicly traded company before deeper analysis.
  • Portfolio Review: Provide a starting point for evaluating new investment opportunities within a portfolio.
  • Due Diligence: Support preliminary due diligence efforts by summarizing key information and potential risks.
  • Market Monitoring: Track newly listed or significantly changed companies to understand their initial prospects.

Key capabilities

  • Generates research reports
  • Provides investment ratings (Buy, Hold, Sell)
  • Summarizes key financial metrics
  • Identifies potential risks and rewards

Example prompts

  • "Initiating coverage on Tesla."
  • "Generate an initiating coverage report for Apple with a focus on their supply chain."
  • "Provide an initial assessment of Nvidia's stock, including potential downsides."

Tips & gotchas

The quality of the output depends heavily on the availability and accuracy of underlying financial data. Always review the generated report critically and supplement it with your own analysis.