Skip to content
TrustedSkillsbeta
Back to all skills

Scout Mindset Bias Check

Checked
lyndonkl·vlatest·other

This skill flags potential biases in your responses, promoting more objective and balanced thinking for clearer communication.

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 scout-mindset-bias-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

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/scout-mindset-bias-check/SKILL.md
Scanned
4 files, 1,640 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 helps AI agents identify and mitigate potential biases in their reasoning and outputs. It encourages a "scout mindset," prompting the agent to actively seek out alternative perspectives and consider potential blind spots. The tool provides structured prompts designed to challenge assumptions and surface hidden biases that might otherwise influence decision-making or content generation.

When to use it

  • Content Creation: Before publishing any written material, have the AI review its work for unintentional bias related to gender, race, culture, or other sensitive topics.
  • Decision Making: When an agent is making recommendations or decisions based on data, use this skill to evaluate whether biases in the data or the agent's interpretation could lead to unfair outcomes.
  • Brainstorming & Ideation: To ensure a wider range of ideas are considered during brainstorming sessions, prompt the AI to identify potential biases that might be limiting creativity.
  • Code Review: To help identify and mitigate bias in algorithms or code logic that may perpetuate harmful stereotypes or discriminate against certain groups.

Key capabilities

  • Bias identification prompts
  • Alternative perspective generation
  • Assumption challenging
  • Structured reasoning review

Example prompts

  • "Review the following text for potential biases related to gender representation: [text]"
  • "I'm making a decision about [topic]. What assumptions am I making, and how might those assumptions be biased?"
  • "Generate three alternative perspectives on this situation: [situation]"

Tips & gotchas

The effectiveness of this skill relies on the user providing clear context and specific areas of concern. It's not a replacement for human oversight; always critically evaluate the AI’s output alongside your own judgment.