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English Evaluation

Checked
yanyang1116·vlatest·writing·MIT

This skill assesses written English for grammar, clarity, and style, helping users improve their writing quality and 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 yanyang1116/skills --skill english-evaluation -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

yanyang1116

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 yanyang1116/skills at 5877b0dc6c.

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

Scanned
1 file, 69 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 evaluates English text and provides a score based on grammar, spelling, and style. It can identify potential errors and suggest improvements to enhance clarity and readability. The evaluation focuses on producing a quantifiable assessment of the provided text's quality.

When to use it

  • Content Creation: Assess blog posts or articles before publishing to ensure high-quality writing.
  • Student Writing: Provide feedback on essays or assignments, highlighting areas for improvement in grammar and style.
  • Proofreading: Quickly check documents for common errors before sending them to clients or colleagues.
  • Automated Feedback: Integrate into a workflow to automatically evaluate user-generated content on a platform.

Key capabilities

  • Grammar checking
  • Spelling correction
  • Style evaluation
  • Scoring of English text quality

Example prompts

  • "Evaluate the following paragraph: [insert paragraph here]"
  • "Can you score this email for grammar and clarity? [insert email here]"
  • "Assess the writing style in this document. [insert document content here]"

Tips & gotchas

The skill's accuracy depends on the complexity of the text; very nuanced or highly technical language may yield less precise results. Consider providing context if evaluating specialized vocabulary.