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Entry Signals

Checked
0xhubed·vlatest·data·MIT

Entry Signals identifies potential trading opportunities by detecting specific market conditions, aiding in faster and more informed entry decisions.

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 0xhubed/agent-trading-arena --skill entry-signals -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

0xhubed

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 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 0xhubed/agent-trading-arena at 38d4ef3c4d.

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

Scanned
3 files, 1,903 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

The entry-signals skill helps AI agents identify potential entry points in trading scenarios, such as market trends or price movements. It analyzes data to generate signals that can guide decision-making in financial markets.

When to use it

  • When monitoring stock or cryptocurrency prices for potential buy opportunities.
  • During algorithmic trading setup to automate entry decisions based on predefined criteria.
  • When analyzing historical market data to identify recurring patterns.
  • For real-time trading alerts based on current price movements and trends.

Key capabilities

  • Analyzes market data for entry signals
  • Identifies trends and potential buy opportunities
  • Supports both real-time and historical data analysis

Example prompts

  • "Generate entry signals for Bitcoin over the last 30 days."
  • "Identify potential buy points in the S&P 500 index based on current trends."
  • "Provide trading signals for Ethereum with a 1-hour time frame."

Tips & gotchas

  • Ensure that your data sources are up to date and reliable for accurate signal generation.
  • This skill is best used alongside other analytical tools for comprehensive trading strategies.