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Extract Test Set

Checked
tradingstrategy-ai·vlatest·testing·MIT

Helps with data extraction, testing as part of agent workflows workflows.

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 tradingstrategy-ai/web3-ethereum-defi --skill extract-test-set -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

tradingstrategy-ai

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 tradingstrategy-ai/web3-ethereum-defi at 8316aa7d9b.

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

Commit
8316aa7d9b
Manifest
.claude/skills/extract-test-set/SKILL.md
Scanned
1 file, 48 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

The extract-test-set skill isolates a specific subset of data from a larger dataset to serve as a dedicated test environment. It enables developers to validate model performance and logic without impacting the integrity of the primary production or training data. This utility is essential for rigorous quality assurance in complex AI workflows.

  • Validate Logic: Run final checks on trading strategies or financial models before deploying them to live markets.

  • Stress Testing: Simulate edge cases by creating a controlled subset of historical data to probe system limits.

  • Regression Analysis: Isolate specific timeframes or asset classes to verify that recent updates haven't broken existing functionality.

  • Benchmarking: Establish a consistent, reproducible dataset for comparing different model iterations side-by-side.

  • Selects and extracts a defined portion of available data based on user parameters.

  • Segments datasets to create isolated environments for testing purposes.

  • Preserves data integrity by separating test instances from the main corpus.

  • Facilitates rapid iteration cycles by providing immediate access to curated subsets.

"Extract a test set containing only high-volatility assets from the last quarter for strategy validation." "I need to isolate a subset of transactions where the volume was under $10k to check for edge-case handling errors." "Create a separate test dataset using the current month's data so I can run my new risk model without affecting historical records."

Tips & gotchas Ensure you clearly define the selection criteria (e.g., date ranges, asset types) before execution to avoid ambiguous results. This skill is designed for validation; do not use the extracted subset as a replacement for your full training or production datasets.