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Difit

Checked
yoshiko-pg·vlatest·other·MIT

Difit analyzes text for stylistic inconsistencies, offering suggestions to improve clarity and tone – a valuable tool for polished writing.

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 yoshiko-pg/difit --skill difit -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

yoshiko-pg

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 yoshiko-pg/difit at 82a765c037.

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

Scanned
2 files, 85 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 difit skill allows AI agents to generate and manipulate digital figures. It can create visual representations of data, produce stylized illustrations based on textual descriptions, and modify existing images with specific artistic effects. The tool is designed for both creative tasks and data visualization needs.

When to use it

  • Generate a custom icon for a new mobile app concept.
  • Create an infographic visualizing key statistics from a research report.
  • Produce a series of illustrations depicting different stages of a product lifecycle.
  • Modify an existing photograph to give it a retro or futuristic aesthetic.

Key capabilities

  • Digital figure generation
  • Image manipulation
  • Artistic style application
  • Data visualization

Example prompts

  • "Create a digital icon representing 'sustainable energy'."
  • "Generate an infographic showing the growth of electric vehicle adoption over the last 5 years."
  • "Transform this photo into a watercolor painting."

Tips & gotchas

The quality of generated figures is heavily dependent on the clarity and specificity of the prompt. Providing detailed descriptions of desired style, content, and composition will yield better results.