agentleFS
HR-ARHR-AR/claude-code-skills/anti-slop/SKILL.md

anti-slop

Skill1 starsChanged 8 months agoNo licenceView on GitHub

Content authenticity checker that reviews any text (email, LinkedIn post, video script, article) against a configurable banned-word database and NotebookLM research notebook to identify AI-generated tells and suggest natural alternatives. Use when: user says '/anti-slop', 'check for slop', 'does this sound AI', 'authenticity check', or before publishing any content. Do NOT use for: writing new content from scratch, grammar/spelling checks, or technical documentation review.

31 other projects use a version of this.

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Used with

Projects with it also use research and handoff.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • NVIDIASkill

    research

    Before designing a feature, research how comparable libraries solve the problem, check best practices, known pitfalls, and upstream changes. Use when starting a new feature, investigating an unfamiliar area, or the user asks to research something.

    Also in 3 projects that use this

  • MicrosoftSkill

    handoff

    Compact the current conversation into a handoff document for another agent to pick up.

    Also in 3 projects that use this

The file

We split this skill into the rules it gives an agent

7 rules. 0 are common, 6 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 30 edited versions we read keep these.

  • 6

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 30 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

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