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Design Evaluation Audit

Checked
lyndonkl·vlatest·other

Helps with design, auditing as part of agent workflows workflows.

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 design-evaluation-audit -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/design-evaluation-audit/SKILL.md
Scanned
4 files, 640 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 structured evaluation and audit of designs. It can analyze visual elements, assess usability based on established principles, and identify potential areas for improvement in user experience. The output is intended to be actionable feedback for designers or teams seeking to refine their work.

When to use it

  • Usability Review: Get an independent assessment of a website or app's ease of use before launch.
  • Design Critique: Obtain constructive criticism on design mockups or prototypes from an AI perspective.
  • Accessibility Check: Identify potential accessibility issues within a design based on established guidelines.
  • Consistency Audit: Ensure visual and functional consistency across multiple designs or platforms.

Key capabilities

  • Visual element analysis
  • Usability assessment
  • Accessibility identification
  • Actionable feedback generation

Example prompts

  • "Evaluate the usability of this website mockup: [link to mockup]"
  • "Perform an accessibility audit on these design files and highlight potential issues."
  • "Critique this app's user interface, focusing on visual consistency."

Tips & gotchas

The quality of the evaluation depends heavily on the clarity and detail provided in the input design materials. Ensure that any linked designs are accessible to the AI agent.