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Dual Axis Skill Reviewer

Checked
tradermonty·vlatest·other·MIT

This AI reviews skill descriptions across multiple axes to identify gaps and ensure comprehensive coverage – boosting clarity & effectiveness.

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 dual-axis-skill-reviewer -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 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 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/dual-axis-skill-reviewer/SKILL.md
Scanned
7 files, 2,357 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 dual-axis skill reviewer analyzes trading strategies based on two distinct perspectives, providing a more comprehensive evaluation than single-metric approaches. It assesses performance across both risk and reward axes, identifying potential weaknesses or biases in the strategy's design. The tool aims to improve trading outcomes by highlighting areas for optimization and ensuring alignment with desired risk/reward profiles.

When to use it

  • Evaluating new algorithmic trading strategies before deployment.
  • Identifying hidden risks within existing trading systems.
  • Comparing multiple trading strategies across different market conditions.
  • Optimizing a strategy’s parameters to achieve a more favorable risk-reward ratio.

Key capabilities

  • Dual-axis performance analysis (risk vs. reward)
  • Strategy evaluation based on defined criteria
  • Identification of potential biases in trading logic
  • Parameter optimization suggestions

Example prompts

  • "Analyze this trading strategy, focusing on both drawdown and Sharpe Ratio."
  • "Compare Strategy A and Strategy B across risk and reward axes; highlight key differences."
  • "What parameters should I adjust to improve the risk-reward profile of this strategy?"

Tips & gotchas

The effectiveness of this skill depends heavily on accurate historical data for backtesting. Ensure your data is clean, representative of current market conditions, and covers a sufficient time period for reliable analysis.