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Advanced Evaluation

Checked
xfstudio·vlatest·other

This skill analyzes text for nuanced sentiment, bias, and factual accuracy, providing deeper insights than simple ratings – useful for critical assessment.

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 xfstudio/skills --skill advanced-evaluation -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

xfstudio

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 xfstudio/skills at 1bf6044db2.

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

Commit
1bf6044db2
Manifest
advanced-evaluation/SKILL.md
Scanned
5 files, 1,604 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, xfstudio-advanced-evaluation, provides capabilities for evaluating AI agent performance. It allows users to define metrics and scoring criteria to assess output quality and identify areas for improvement. The tool facilitates a more structured and data-driven approach to agent refinement.

When to use it

  • Benchmarking: Compare the performance of different AI agents on specific tasks or datasets.
  • Iterative Improvement: Evaluate an agent's responses after adjustments to its prompt engineering or underlying model.
  • Quality Assurance: Regularly assess agent output for consistency and accuracy before deployment.
  • Identifying Failure Modes: Pinpoint scenarios where the agent consistently produces undesirable results.

Key capabilities

  • Metric definition
  • Scoring criteria specification
  • Output quality assessment
  • Performance comparison

Example prompts

  • "Evaluate this AI agent's response to the prompt 'Summarize this article:' using the defined metrics."
  • "Compare the performance of Agent A and Agent B on these five example queries, according to the scoring criteria."
  • "Show me a report detailing the average score for each metric across all evaluated responses."

Tips & gotchas

The effectiveness of this skill relies heavily on well-defined metrics and clear scoring criteria. Ambiguous or poorly designed evaluation parameters will lead to unreliable results.