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Evaluation Rubrics

Checked
lyndonkl·vlatest·other

This skill generates tailored evaluation rubrics for tasks or projects, ensuring consistent and objective assessment criteria for better feedback and results.

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 lyndonkl/claude --skill evaluation-rubrics -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

lyndonkl

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 lyndonkl/claude at 4acc337d4d.

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

Commit
4acc337d4d
Manifest
skills/evaluation-rubrics/SKILL.md
Scanned
4 files, 1,213 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 allows AI agents to generate and apply evaluation rubrics. It can create rubrics based on provided criteria, assess outputs against those rubrics, and provide scores with justifications. The skill is designed to standardize assessment processes and offer more detailed feedback than simple scoring.

When to use it

  • Grading student work: Generate a rubric for an essay or project and then use the AI agent to score submissions based on that rubric.
  • Code review: Create a rubric outlining coding best practices, then have the agent evaluate code snippets against those standards.
  • Content quality assessment: Develop a rubric defining criteria for high-quality content (e.g., clarity, accuracy) and use it to assess articles or reports.
  • Evaluating AI model outputs: Define specific performance metrics in a rubric format and utilize the skill to evaluate different model responses objectively.

Key capabilities

  • Rubric generation based on provided criteria.
  • Assessment of outputs against defined rubrics.
  • Scoring with justifications tied to rubric elements.
  • Standardized assessment processes.

Example prompts

  • "Create a rubric for evaluating the clarity and completeness of technical documentation."
  • "Assess this essay [essay text] using the following rubric: [rubric details]."
  • "Score these code snippets [code snippets] based on a rubric emphasizing readability and efficiency."

Tips & gotchas

The quality of the generated rubrics and assessments heavily depends on the clarity and specificity of the input criteria. Providing detailed instructions or example outputs will improve results.