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Advanced Evaluation

Checked
muratcankoylan·vlatest·other·MIT

This skill provides nuanced content analysis and scoring, offering deeper insights than basic ratings – boosting informed decision-making.

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 muratcankoylan/agent-skills-for-context-engineering --skill advanced-evaluation --full-depth -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

muratcankoylan

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 muratcankoylan/agent-skills-for-context-engineering at 6dbe1a1d86.

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

Scanned
6 files, 1,658 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

This skill, muratcankoylan-advanced-evaluation, provides advanced evaluation capabilities for AI agents. It allows for a more nuanced and detailed assessment of agent performance beyond simple pass/fail metrics. The tool is designed to enhance context engineering workflows by providing richer feedback on agent behavior.

When to use it

  • Evaluating the effectiveness of an agent's response in complex, multi-turn conversations.
  • Identifying specific areas where an agent struggles with nuanced reasoning or understanding user intent.
  • Analyzing agent performance across different scenarios and datasets to pinpoint weaknesses.
  • Providing detailed feedback for iterative improvements to agent design and training data.

Key capabilities

  • Advanced evaluation metrics
  • Context engineering workflow integration
  • Detailed assessment of agent behavior
  • Nuanced reasoning analysis

Example prompts

  • "Evaluate the agent's response in this conversation: [conversation transcript]"
  • "Analyze the agent’s performance on these test cases and provide a detailed report."
  • “Give me feedback on how the agent handled this user query, focusing on its reasoning process.”

Tips & gotchas

This skill is most effective when used with clear evaluation criteria or a defined scoring rubric. The quality of the evaluation depends heavily on the clarity and detail provided in the input context (e.g., conversation transcripts, test cases).