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Earnings Analysis

Official
anthropics·vlatest·data·Apache-2.0

Analyze financial reports and market data to identify trends and potential earnings surprises.

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 earnings-analysis -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/agent-plugins/earnings-reviewer/skills/earnings-analysis/SKILL.md
Scanned
8 files, 2,656 lines
Copies in repo
2 — all of them scanned
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 financial earnings analysis within the financial services domain. It processes and interprets earnings data to support decision-making and reporting tasks for financial applications.

When to use it

  • Analyzing quarterly or annual earnings reports for investment decisions
  • Generating financial summaries from earnings call transcripts
  • Identifying revenue trends and growth patterns in company performance data
  • Supporting compliance reviews with earnings disclosure requirements

Key capabilities

  • Financial services plugin integration
  • Earnings data processing and interpretation
  • AI agent workflow automation for financial analysis tasks

Example prompts

  • "Analyze the latest earnings report and summarize key financial metrics"
  • "Identify revenue growth trends from this quarter's earnings data"
  • "Extract profit margins and compare them to previous periods"

Tips & gotchas

This skill is part of anthropics/financial-services-plugins collection. Ensure your AI agent has appropriate permissions