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Taste Check

Checked
microck·vlatest·ai-ml

Taste Check analyzes text to identify potential flavor combinations and suggest pairings – a useful tool for recipe development & culinary exploration.

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 microck/ordinary-claude-skills --skill taste-check -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

microck

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

    Only contacts known or declared hosts: github.com.

    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.

    Hosts contacted

    github.comsource host

  • 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 microck/ordinary-claude-skills at 1056d293d4.

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

Commit
1056d293d4
Manifest
skills_all/taste-check/SKILL.md
Scanned
4 files, 370 lines
Copies in repo
2 — all of them scanned
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

The microck-taste-check skill allows you to evaluate Claude's responses based on a provided rubric. It assesses the response against criteria like helpfulness, honesty, and harmlessness, providing a structured feedback mechanism. This helps in refining prompts and understanding Claude’s behavior across different scenarios.

When to use it

  • Prompt Refinement: After receiving an initial response from Claude, use this skill to identify areas for improvement in your prompt's clarity or instructions.
  • Bias Detection: Evaluate responses related to sensitive topics to check for unintended biases or problematic content.
  • Consistency Testing: Assess Claude’s adherence to specific guidelines across multiple requests with similar prompts.
  • Safety Evaluation: Ensure Claude is providing safe and appropriate information, especially when dealing with potentially harmful subjects.

Key capabilities

  • Rubric-based evaluation of Claude responses
  • Assessment of helpfulness, honesty, and harmlessness
  • Structured feedback mechanism for prompt improvement

Example prompts

  • "Evaluate the following response: [Claude's Response] using the provided rubric."
  • "Assess this conversation turn for potential biases: [Conversation Turn]"
  • "Rate Claude’s helpfulness in answering this question: [Question and Claude's Answer]"

Tips & gotchas

The skill requires a clear and well-defined rubric to be effective. Without a specific set of criteria, the evaluation will lack focus and utility.