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Word Count Checker

Checked
rawveg·vlatest·writing

This tool quickly analyzes text to determine its word count, aiding writers in meeting length requirements and refining their work.

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 rawveg/skillsforge-marketplace --skill word-count-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

rawveg

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 rawveg/skillsforge-marketplace at 9561ce2088.

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

Commit
9561ce2088
Manifest
word-count-checker/SKILL.md
Scanned
2 files, 64 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 accurately counts the words in a given text. It can handle various input formats, including plain text and potentially documents. The word count is provided as a simple numerical output, making it easy to integrate into other workflows or for quick reference.

When to use it

  • Content creation: Quickly assess if a draft meets length requirements for blog posts, articles, or social media updates.
  • Academic writing: Verify the word count of essays and papers before submission.
  • Editing & proofreading: Get a baseline word count to track changes during revisions.
  • SEO optimization: Check content length against SEO best practices.

Key capabilities

  • Word counting
  • Handles various text inputs
  • Provides numerical output

Example prompts

  • "Count the words in this: 'The quick brown fox jumps over the lazy dog.'"
  • "How many words are in this document?" (assuming a file can be provided)
  • “What’s the word count?” [followed by pasting text]

Tips & gotchas

This skill requires clear and complete text input to ensure accurate results. The definition of what constitutes a "word" may vary slightly depending on implementation; very unusual punctuation or formatting might affect the count.