Skip to content
TrustedSkillsbeta
Back to all skills

Diff Check

Checked
b1tank·vlatest·utilities·MIT

This skill automatically checks for differences between two texts, highlighting discrepancies and saving time on meticulous comparisons.

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 b1tank/skills --skill diff-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

b1tank

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 b1tank/skills at c1b1b90d7b.

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

Scanned
1 file, 72 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 diff-check skill allows an AI agent to compare two text inputs and identify the differences between them. It highlights additions, deletions, and modifications made in one version compared to another. This is useful for tracking changes over time or identifying discrepancies between documents.

When to use it

  • Code review: Compare different versions of code files to understand what has changed.
  • Document comparison: Identify revisions made to legal contracts or other important documents.
  • Content editing: Track edits made during the writing and revision process.
  • Data validation: Check for inconsistencies between two datasets by comparing their contents.

Key capabilities

  • Identifies additions, deletions, and modifications.
  • Compares text inputs of varying lengths.
  • Provides a clear visual representation of differences.

Example prompts

  • "Compare these two code snippets and tell me what's different: [Snippet 1] [Snippet 2]"
  • "Show me the changes between version A and version B of this document: [Version A] [Version B]"
  • “What are the differences in these two paragraphs? [Paragraph 1] [Paragraph 2]”

Tips & gotchas

The quality of the comparison depends on the similarity of the input texts. Significant formatting or structural changes may make it harder to accurately identify meaningful differences.