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Earnings Trade Analyzer

Listed
tradermonty·vlatest·data·MIT

Analyzes earnings reports to identify profitable trading opportunities and potential risks for informed 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 tradermonty/claude-trading-skills --skill earnings-trade-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

tradermonty

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: financialmodelingprep.com.

    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.

    Hosts contacted

    financialmodelingprep.comundeclared

    What it found (3 of 5)

    • skills/earnings-trade-analyzer/SKILL.md:70contacts financialmodelingprep.com
      curl "https://financialmodelingprep.com/stable/earnings-calendar?from=YYYY-MM-DD&to=YYYY-MM-DD&apikey=$FMP_API_KEY"
    • skills/earnings-trade-analyzer/scripts/_fmp_compat.py:28contacts financialmodelingprep.com
      _STABLE = "https://financialmodelingprep.com/stable"
    • skills/earnings-trade-analyzer/scripts/fmp_client.py:96contacts financialmodelingprep.com
      ("https://financialmodelingprep.com/stable/historical-price-eod/full", _stable_hist_url),

  • 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 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 tradermonty/claude-trading-skills at fac23bed61.

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

Commit
fac23bed61
Manifest
skills/earnings-trade-analyzer/SKILL.md
Scanned
21 files, 5,443 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 analyzes trading earnings data to help agents evaluate financial performance and identify trends. It processes numerical datasets to generate insights on profitability, risk exposure, and historical returns for specific assets or portfolios.

When to use it

  • Reviewing quarterly or annual financial reports to assess company health before making investment decisions.
  • Comparing the earnings growth of multiple stocks to determine which offers better value relative to their sector peers.
  • Identifying anomalies in revenue streams that might signal operational issues or market shifts.

Key capabilities

  • Parses and structures raw earnings data into readable formats.
  • Calculates key financial metrics such as year-over-year growth and profit margins.
  • Generates summaries highlighting significant positive or negative deviations from expected targets.

Example prompts

  • "Analyze the latest earnings report for TechCorp and summarize the key drivers behind their revenue increase."
  • "Compare the profitability trends of EnergyCo and GreenPower over the last three fiscal years."
  • "Identify any unusual patterns in the earnings data provided for this retail sector portfolio."

Tips & gotchas

Ensure you provide clean, structured data or direct links to reliable financial sources, as the skill relies on accurate input numbers. Avoid asking for specific future price predictions, as the tool focuses on analyzing historical and current earnings figures rather than forecasting market movements.