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Evaluator Optimizer

Checked
nickcrew·vlatest·other·MIT

This Evaluator Optimizer intelligently refines prompts and responses for better quality and relevance, boosting AI performance and user satisfaction.

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 nickcrew/claude-cortex --skill evaluator-optimizer -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

nickcrew

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 nickcrew/claude-ctx-plugin at bb47af79ad.

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

Commit
bb47af79ad
Manifest
skills/evaluator-optimizer/SKILL.md
Scanned
2 files, 385 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 evaluator-optimizer skill analyzes a given output and iteratively refines it based on specified criteria. It can assess text for qualities like clarity, conciseness, or adherence to specific formatting guidelines. The core function is to provide feedback and suggest improvements to achieve a desired outcome through repeated cycles of evaluation and optimization.

When to use it

  • Improving writing quality: Refine drafts of articles, emails, or reports to enhance readability and impact.
  • Code generation refinement: Optimize generated code snippets for efficiency, clarity, or adherence to coding standards.
  • Content summarization enhancement: Improve the accuracy and conciseness of automatically generated summaries.
  • Creative writing assistance: Iterate on story elements like plot points or character descriptions based on feedback criteria.

Key capabilities

  • Iterative refinement loops
  • Evaluation against specified criteria
  • Feedback generation
  • Optimization suggestions

Example prompts

  • "Evaluate this paragraph for clarity and suggest improvements: [paragraph text]"
  • "Refine this code snippet to be more efficient: [code snippet]"
  • "Optimize this summary to be more concise while retaining key information: [summary text]"

Tips & gotchas

The effectiveness of the evaluator-optimizer skill depends heavily on clearly defining the evaluation criteria. Vague or ambiguous instructions will likely lead to suboptimal results.