Style Detector
CheckedAnalyzes text to identify stylistic elements like tone & formality, helping users refine their writing for specific contexts and audiences.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add wordflowlab/novel-writer-skills --skill style-detector -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto 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.
Automated safety checks
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/novel-writer-skills at 5bc9b373ff.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 5bc9b373ff
- Scanned
- 4 files, 623 lines
About this skill
The style-detector skill analyzes text to identify specific writing styles, tones, and structural patterns within a given passage. It helps users understand how different authors or contexts shape their prose by breaking down stylistic elements into actionable insights.
When to use it
- Analyze Authorial Voice: Compare the unique tone of two different characters in a story to ensure consistency.
- Imitate Specific Styles: Determine the exact rhetorical devices used in a famous speech before attempting to replicate them.
- Audit Content Tone: Check if marketing copy matches the intended brand voice (e.g., professional vs. conversational).
- Debug Writing Issues: Identify why a paragraph feels disjointed by detecting conflicting stylistic elements within it.
Key capabilities
- Detects specific writing styles and tones in input text.
- Breaks down complex prose into identifiable structural patterns.
- Provides granular feedback on how stylistic choices impact readability.
Example prompts
- "Analyze the following paragraph and list the specific writing style and tone used."
- "Compare the stylistic elements of these two excerpts and highlight the differences in voice."
- "Detect if this marketing copy aligns with a professional or casual tone."
Tips & gotchas
This skill relies entirely on the quality of the input text; very short snippets may yield vague results. For the most accurate analysis, provide substantial passages that clearly exhibit the style you wish to examine.