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Mixseek Evaluator Config

Checked
drillan·vlatest·other·Apache-2.0

This skill configures Mixseek’s evaluator to prioritize specific criteria, ensuring more relevant and accurate search results for your music needs.

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 drillan/mixseek-plus --skill mixseek-evaluator-config -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

drillan

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 drillan/mixseek-plus at 387c745689.

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

Commit
387c745689
Manifest
skills/mixseek-evaluator-config/SKILL.md
Scanned
3 files, 879 lines
Copies in repo
3 — all of them scanned
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 mixseek-evaluator-config skill allows you to configure and manage evaluation settings for MixSeek, a tool designed to improve AI agent performance. It provides control over how agents are assessed, enabling customization of scoring metrics and thresholds. This facilitates fine-tuning agent behavior and ensuring desired outcomes in various applications.

When to use it

  • Customizing Agent Scoring: When you need to adjust the criteria used to evaluate an AI agent's performance beyond default settings.
  • Defining Success Thresholds: To set specific benchmarks for agent actions, triggering alerts or adjustments when those thresholds aren’t met.
  • Experimenting with Evaluation Metrics: When testing different evaluation methods to determine which best reflects desired agent behavior.
  • Integrating with Existing Systems: To align agent evaluations with existing monitoring and reporting infrastructure.

Key capabilities

  • Configuration of scoring metrics
  • Setting performance thresholds
  • Customization of evaluation criteria
  • Integration with MixSeek framework

Example prompts

  • "Set the 'completion_rate' metric threshold to 0.8."
  • "Configure the evaluator to prioritize 'accuracy' over 'speed'."
  • "What are the currently configured evaluation metrics?"

Tips & gotchas

This skill requires a working installation of MixSeek. Ensure that your agent is properly integrated with the MixSeek framework before attempting to configure its evaluation settings.