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Scientific Clarity Checker

Checked
lyndonkl·vlatest·writing

This tool assesses scientific writing for clarity, identifying jargon and complex phrasing to ensure effective communication.

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 scientific-clarity-checker -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.

Scanned
4 files, 716 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 Scientific Clarity Checker skill analyzes text and provides feedback to improve its clarity, particularly within a scientific context. It identifies complex sentence structures, jargon, and areas where explanations could be more accessible to a broader audience. The tool aims to make technical writing easier to understand without sacrificing accuracy or detail.

When to use it

  • Reviewing research papers: Before submitting a paper, use the skill to ensure your language is clear and understandable for reviewers.
  • Creating educational materials: Improve the clarity of explanations in tutorials, guides, or presentations about scientific topics.
  • Simplifying technical reports: Make complex data and findings more accessible to stakeholders who may not have specialized knowledge.
  • Writing grant proposals: Enhance the readability and impact of your proposal by ensuring clear communication of your research goals.

Key capabilities

  • Identifies complex sentences
  • Flags jargon usage
  • Provides suggestions for clearer phrasing
  • Evaluates overall text clarity

Example prompts

  • "Analyze this paragraph from my paper and suggest improvements for clarity: [paste paragraph]"
  • "Can you make this explanation of quantum entanglement easier to understand?"
  • "Check the clarity of this grant proposal section."

Tips & gotchas

The skill is most effective when applied to text that already contains accurate scientific information. It focuses on improving readability, not verifying factual correctness.