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Humanizer

Checked
callstack·vlatest·other·MIT

The Humanizer skill crafts more natural-sounding chatbot responses by injecting personality and conversational nuances, improving user engagement.

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 react-native-testing, 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 callstack/react-native-testing-library --skill react-native-testing -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

callstack

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 callstack/react-native-testing-library at b87a246e68.

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

Commit
b87a246e68
Manifest
skills/react-native-testing/SKILL.md
Scanned
4 files, 1,435 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

The callstack-humanizer skill transforms technical, often cryptic, error messages and stack traces into more readable and understandable explanations. It aims to simplify debugging information for developers of all levels by converting raw data into plain language descriptions. This allows users to quickly grasp the root cause of errors without needing deep expertise in the underlying code or framework.

When to use it

  • Debugging React Native applications: When encountering complex error messages during development, this skill can help pinpoint the issue more easily.
  • Understanding unfamiliar codebases: If you're working with a codebase you don’t fully understand, the humanizer can provide context for errors and their origins.
  • Explaining errors to non-technical stakeholders: Translate technical stack traces into understandable terms when communicating issues to team members or clients who lack programming experience.
  • Automated error reporting: Integrate with automated systems to generate more user-friendly error reports.

Key capabilities

  • Transforms raw error messages and stack traces.
  • Provides plain language explanations of errors.
  • Simplifies debugging for developers.

Example prompts

  • "Humanize this React Native stack trace: [paste stack trace here]"
  • "Explain what went wrong in this error message: [paste error message here]"
  • "Can you make this callstack more readable? [paste callstack here]"

Tips & gotchas

The quality of the humanization depends on the clarity and completeness of the provided error information. Ensure that the entire stack trace or error message is included in the prompt for best results.