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Avoid Anecdotal Types

Checked
marius-townhouse·vlatest·other

This skill prevents responses relying on personal stories or examples, ensuring more objective and reliable information is provided.

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 marius-townhouse/effective-typescript-skills --skill avoid-anecdotal-types -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

marius-townhouse

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 marius-townhouse/effective-typescript-skills at d754db2077.

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

Scanned
1 file, 254 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 avoid generating responses that rely on anecdotal evidence or personal stories. It encourages the agent to base its answers on verifiable facts and data, rather than subjective experiences. The goal is to improve the accuracy and reliability of the AI's output by minimizing bias and unsubstantiated claims.

When to use it

  • When generating reports or summaries that require factual accuracy.
  • During Q&A sessions where providing reliable information is crucial.
  • When crafting content for educational purposes, ensuring objectivity.
  • In scenarios requiring impartial advice or recommendations.

Key capabilities

  • Identifies anecdotal statements in prompts and generated text.
  • Suggests alternative phrasing based on factual sources.
  • Prioritizes data-driven responses over personal narratives.

Example prompts

  • "Explain the impact of climate change, avoiding personal stories."
  • "Summarize this research paper, ensuring all claims are supported by evidence."
  • "Provide advice for managing finances; do not include any personal anecdotes."

Tips & gotchas

This skill is most effective when used in conjunction with skills that provide access to reliable data sources. The agent may still occasionally produce anecdotal content if the prompt heavily emphasizes personal experience, so review outputs carefully.