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Consistency Checker

Checked
wordflowlab·vlatest·marketing·MIT

This Consistency Checker verifies if your text maintains a uniform style and tone, ensuring polished and professional output.

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/agentsdk --skill consistency-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

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/agentsdk at 2d464ecac6.

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

Scanned
1 file, 267 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 consistency-checker skill analyzes text to identify and highlight inconsistencies in tone, style, or factual information. It helps ensure that documents maintain a unified voice and accuracy across different sections or sources. The tool is designed to improve the overall quality and reliability of written content by pinpointing areas needing revision.

When to use it

  • Long-form content: Review lengthy articles, reports, or books for consistent messaging and style.
  • Edited documents: Check documents that have been revised by multiple authors to ensure a cohesive final product.
  • Content merging: Analyze text from different sources combined into a single document to identify conflicting information or tones.
  • Brand guidelines adherence: Verify content aligns with established brand voice and style guides.

Key capabilities

  • Tone analysis
  • Style consistency checks
  • Factual inconsistency detection

Example prompts

  • "Check this article for any inconsistencies in tone."
  • "Analyze the following text and highlight any stylistic differences between sections."
  • "Compare these two paragraphs and identify any factual contradictions."

Tips & gotchas

The skill's effectiveness depends on providing clear, well-defined text as input. While it can detect inconsistencies, it requires human judgment to determine if those inconsistencies are genuine errors or intentional variations.