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Taste Check

Listed
kingkongshot·vlatest·marketing·MIT

Taste Check analyzes text to identify potential flavor combinations or culinary suggestions, aiding in recipe generation and creative food ideas.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Installs under a different name. Its SKILL.md names it pensieve-sync-to-main, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add kingkongshot/pensieve --skill pensieve-sync-to-main --full-depth -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

kingkongshot

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.

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

Not scanned. none of the 2 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as kingkongshot/prompts.
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 taste-check skill allows you to evaluate AI-generated text based on subjective qualities like tone, style, and appropriateness. It analyzes provided text against specified criteria and provides a rating or feedback. This is useful for refining outputs before they are used in public-facing contexts or sensitive situations.

When to use it

  • Content Moderation: Assess the safety and appropriateness of AI-generated responses on forums or chat platforms.
  • Brand Voice Consistency: Ensure marketing copy aligns with a defined brand tone and style guidelines.
  • Creative Writing Feedback: Get an evaluation of story elements, dialogue, or character descriptions for subjective qualities.
  • Sensitivity Review: Check generated content for potential biases or offensive language before deployment.

Key capabilities

  • Evaluates text based on user-defined criteria.
  • Provides ratings or feedback on subjective qualities.
  • Supports various text types (marketing copy, creative writing, etc.).

Example prompts

  • "Assess this email draft for professionalism and clarity: [email content]"
  • "Rate the tone of this product description as friendly and engaging: [product description]"
  • "Check this social media post for potential offensive language: [social media post]"

Tips & gotchas

The effectiveness of taste-check depends heavily on clearly defining the evaluation criteria. Vague or ambiguous instructions will yield less useful results.