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Sensitivity Check

Checked
jwynia·vlatest·other

This "Sensitivity Check" analyzes text for potentially offensive or harmful language, promoting respectful and inclusive communication.

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 jwynia/the-kepler-testimonies --skill sensitivity-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

jwynia

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 jwynia/the-kepler-testimonies at 55471e44fb.

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

Scanned
3 files, 1,245 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, jwynia-sensitivity-check, analyzes text for potentially offensive or biased language. It identifies problematic phrases and suggests alternative wording to promote inclusivity and respect. The tool aims to improve the safety and ethical considerations of AI generated content by flagging sensitive topics and offering revisions.

When to use it

  • Content Creation: Before publishing blog posts, articles, or marketing materials generated by an AI agent.
  • Chatbot Training: To ensure a chatbot's responses are appropriate and avoid causing offense to users.
  • Scriptwriting: Reviewing scripts for movies, games, or other media to identify and mitigate potential harm.
  • Educational Materials: Checking educational content for bias or stereotypes that could negatively impact learners.

Key capabilities

  • Offensive language detection
  • Bias identification
  • Alternative wording suggestions
  • Sensitivity scoring (implied)

Example prompts

  • "Check this paragraph for potentially offensive language: [paste text here]"
  • "Can you analyze this chatbot response and suggest improvements to avoid bias? [paste response here]"
  • "Review this script excerpt for sensitivity concerns. [paste script excerpt here]"

Tips & gotchas

The skill's effectiveness depends on the quality of its training data; it may not catch all nuanced forms of offensive language or cultural sensitivities. Always review the suggested changes critically and consider the specific context.