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Stock Performance

Listed
octagonai·vlatest·other·MIT

Analyze historical stock data, predict future trends, and assess investment risk using OctagonAI's stock-performance skill.

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 octagonai/skills --skill stock-performance -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

octagonai

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 pipe-to-shell installers: failed

    Runs code fetched at install time in 1 place.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

    What it found

    • skills/stock-performance/references/mcp-setup.md:18remote script run via command substitution
      /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"

  • 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

    Only contacts known or declared hosts: raw.githubusercontent.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

    raw.githubusercontent.comsource host

  • 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.

  • Pinned to a commit: passed

    Scanned octagonai/skills at 51e938c4d0.

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

Commit
51e938c4d0
Manifest
skills/stock-performance/SKILL.md
Scanned
5 files, 641 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 provides access to real-time and historical stock performance data. It can retrieve current prices, daily highs and lows, and other key metrics for publicly traded companies. The information is sourced from external financial APIs, enabling agents to make informed decisions based on up-to-date market conditions.

When to use it

  • Financial analysis: An agent needs to assess the viability of a potential investment opportunity by examining historical stock trends.
  • News summarization: Summarize news articles that mention specific companies and include their current stock price.
  • Portfolio monitoring: Track the performance of a portfolio of stocks and alert users to significant changes.
  • Market research: Gather data on competitor stock performance for market analysis reports.

Key capabilities

  • Retrieve real-time stock prices
  • Access historical daily high/low values
  • Data sourced from external financial APIs

Example prompts

  • "What is the current price of AAPL?"
  • "Show me the daily high and low for TSLA over the past week."
  • "Summarize this news article about Microsoft, including its stock performance today."

Tips & gotchas

The accuracy of the data depends on the reliability of the underlying financial APIs. Latency in receiving real-time updates is possible due to API response times.