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Tidy Evaluation

Checked
jsperger·vlatest·other·MIT

Tidy Evaluation organizes and summarizes complex evaluations into clear, concise insights, saving time and improving understanding.

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 jsperger/llm-r-skills --skill tidy-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

jsperger

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 jsperger/llm-r-skills at 7a10126faf.

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

Commit
7a10126faf
Manifest
skills/tidy-evaluation/SKILL.md
Scanned
1 file, 343 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 provides a mechanism to evaluate and refine AI agent outputs. It allows users to assess responses based on defined criteria, providing structured feedback that can be used to improve future performance. The tool facilitates iterative refinement of agent behavior through targeted evaluation.

When to use it

  • Evaluating complex reasoning tasks: Use when an agent is generating detailed plans or arguments and you need a systematic way to assess their quality.
  • Debugging conversational agents: When a chatbot's responses are inconsistent or inaccurate, this skill can help pinpoint the root cause through structured evaluation.
  • Improving creative writing outputs: Assess generated stories or poems based on specific literary elements like plot coherence and character development.
  • Validating code generation: Evaluate the correctness and efficiency of code produced by an AI agent.

Key capabilities

  • Structured evaluation framework
  • Criteria-based assessment
  • Iterative refinement support
  • Feedback integration for improved performance

Example prompts

  • "Evaluate this plan for a marketing campaign, focusing on target audience reach and budget allocation."
  • "Assess the logic of this argument, considering its premises and conclusions."
  • "Provide feedback on this generated poem based on rhyme scheme and imagery."

Tips & gotchas

The effectiveness of this skill depends heavily on clearly defined evaluation criteria. Vague or subjective criteria will lead to less actionable feedback.