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Writing Analyzer

Checked
qingchunwuhui·vlatest·writing·MIT

Analyzes text for tone, style, grammar, clarity, and potential improvements, offering actionable feedback.

Repository

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 qingchunwuhui/xianfengaiskills --skill writing-analyzer -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

qingchunwuhui

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 qingchunwuhui/xianfengaiskills at 46bd220234.

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

Commit
46bd220234
Manifest
skills/writing_analyzer/SKILL.md
Scanned
1 file, 242 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 writing-analyzer skill assesses written text for various qualities. It can identify grammatical errors, suggest improvements to sentence structure, and evaluate the overall clarity and readability of a piece of writing. This allows users to refine their prose and ensure professional communication.

When to use it

  • Proofreading: Before submitting important documents like reports or emails.
  • Content Creation: To improve the quality of blog posts, articles, or marketing materials.
  • Academic Writing: For refining essays, research papers, or theses.
  • Improving Clarity: When you want to ensure your writing is easily understood by a wide audience.

Key capabilities

  • Grammar checking
  • Sentence structure suggestions
  • Readability assessment
  • Clarity evaluation

Example prompts

  • "Analyze this paragraph for grammatical errors and suggest improvements: [insert text]"
  • "Can you evaluate the readability of this article? [insert text]"
  • "Please provide feedback on the clarity of this email draft. [insert text]"

Tips & gotchas

The skill's effectiveness depends heavily on the quality of the input text. While it can identify errors, it may not always understand nuanced or highly technical language perfectly.