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Style Detector

Checked
wordflowlab·vlatest·writing·Apache-2.0

Analyzes text to identify stylistic elements like tone and formality, helping users refine their writing for specific audiences or purposes.

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 wordflowlab/novelweave --skill style-detector -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

wordflowlab

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 wordflowlab/novelweave at c868690891.

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

Commit
c868690891
Manifest
templates/skills/quality-assurance/style-detector/SKILL.md
Scanned
8 files, 1,348 lines
Copies in repo
2 — all of them scanned
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 style-detector skill analyzes text and identifies its writing style. It allows users to understand characteristics like formality, sentiment, and potential genre associations within a given piece of writing. This can be useful for content creation, analysis, or understanding the nuances of different authors' work.

When to use it

  • Content Creation: Determine if generated text aligns with desired tone and style guidelines.
  • Authorial Analysis: Analyze the stylistic traits of a particular author’s writing.
  • Genre Identification: Get insights into potential genre classifications based on textual characteristics.
  • Text Comparison: Compare the styles of different pieces of writing to highlight differences or similarities.

Key capabilities

  • Style analysis
  • Formality detection
  • Sentiment analysis
  • Genre association identification

Example prompts

  • "Analyze the style of this paragraph: [insert text here]"
  • "What is the formality level of this email?"
  • "Can you identify any genre associations for this short story excerpt?"

Tips & gotchas

The accuracy of style detection can be influenced by the length and complexity of the input text. Longer, more detailed passages generally yield more reliable results.