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ama-zingco/anti-ai-writing-skill

A skill that removes common AI writing tells, based on published AI-detection research

History

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anti-ai-writing-style/SKILL.md

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Verified commit a0571d7cad58a586a8b373e813e15046e484f028

38GitHub stars
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1skill in this repository
0commits in 30 days

Heat

0.3
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Stars over time

Oct 25, 2026Oct 27, 202638

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Individual skills in this repository

How it works

anti-ai-writing-style

When your agent uses it

Follow these guidelines when writing copy to avoid LLM frequently used styles and structures, and create more human sounding copy.

What it loads into context

Frontmatter

38 tokens

Always available to the agent

SKILL.md

3,428 tokens

When the skill is activated

Reference documents

0 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

    Files

    • SKILL.mdcore15,067 bytes
    • SKILL.mdcore15,067 bytes
    Read SKILL.md
    
    {
      "title": "Guidelines to Avoid AI Writing Patterns",
      "description": "When writing content, avoid common AI writing patterns that make your output sound artificial. Follow these guidelines:",
      "how_to_use": "Rules are tagged with the source they came from and the year. AI tells rotate as models update, so treat the dated vocabulary lists as perishable and the structural rules as durable. Between the 2025 and 2026 research bases below, the overused-vocabulary list turned over almost completely and the em-dash finding reversed outright. Match the underlying habit, not just the words on the list.",
      "guidelines": [
        {
          "id": 1,
          "rule": "Break the rule of three",
          "source": "craft; confirmed Economist 2026",
          "description": "Don't consistently organize ideas in triplets or use three examples/points. Vary your structural patterns with different numbers of items or asymmetrical organization. This is one of the most heavily measured tells: every major model groups ideas in threes more often than human journalists or novelists do, and ChatGPT does it far more than any other model."
        },
        {
          "id": 2,
          "rule": "Avoid contrast framing",
    View the complete source on GitHub

    Skills included

    • anti-ai-writing-style

    Repository facts

    License
    MIT
    Created
    Jul 18, 2026
    Last pushed
    Aug 6, 2026
    Forks
    6
    Open issues
    0
    Project activity
    Slowing

    Before you install

    Instructions only

    Automated signals, not a guarantee

    Checked Nov 5, 2026

    Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.

    Show 1 note
    • anti-ai-writing-style/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
    • No broad tool permissions
    • No dangerous shell commands
    • 6 network referencesin 1 file: anti-ai-writing-style/SKILL.md:170
    • No hidden or obfuscated text
    • No instruction overrides
    • No executable scripts
    • No access to secrets
    • No requests to vote in Hot
    Show all 6 signals by file

    anti-ai-writing-style/SKILL.md

    • Network accessline 170
      "id": "Russell 2025",       "citation": "Russell, J., Karpinska, M., & Iyyer, M. (2025). People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text. arXiv:2501.15654.",       "url": "https://a
    • Network accessline 171
      "citation": "Russell, J., Karpinska, M., & Iyyer, M. (2025). People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text. arXiv:2501.15654.",       "url": "https://arxiv.org/abs/2501.15654"    
    • Network accessline 172
      "url": "https://arxiv.org/abs/2501.15654"
    • Network accessline 175
      "id": "Economist 2026",       "citation": "The Economist (July 30, 2026). How to spot AI writing. Study of 55,940 sentences and 1.2m words comparing ChatGPT, Claude, Gemini, and Grok against Economist journalism, CNN/NYT/Washington Post rep
    • Network accessline 176
      "citation": "The Economist (July 30, 2026). How to spot AI writing. Study of 55,940 sentences and 1.2m words comparing ChatGPT, Claude, Gemini, and Grok against Economist journalism, CNN/NYT/Washington Post reporting, and bestselling fictio
    • Network accessline 177
      "url": "https://www.economist.com/culture/2026/07/30/how-to-spot-ai-writing"

    How the signals fit together

    Facts from a static read of the files at the pinned commit. They describe what the code does, not why.

    Signal confidence: 6 facts

    Works with

    Agent compatibility, from the files in this repository
    AgentStatusEvidenceInstall to
    Claude CodeCompatibleStandard SKILL.md anti-ai-writing-style/SKILL.md.claude/skills/<skill-name>/
    CodexCompatibleStandard SKILL.md anti-ai-writing-style/SKILL.md.agents/skills/<skill-name>/
    CursorCompatibleStandard SKILL.md anti-ai-writing-style/SKILL.md.cursor/skills/<skill-name>/
    Gemini CLICompatibleStandard SKILL.md anti-ai-writing-style/SKILL.md.gemini/skills/<skill-name>/
    GitHub CopilotCompatibleStandard SKILL.md anti-ai-writing-style/SKILL.md.github/skills/<skill-name>/
    OpenCodeCompatibleStandard SKILL.md anti-ai-writing-style/SKILL.md.opencode/skills/<skill-name>/
    • Native The repository ships a manifest, folder or frontmatter field for this agent.
    • Compatible A standard SKILL.md that this agent can read.
    • Unknown No evidence either way.

    Derived automatically from paths, manifests and frontmatter. Not tested on each agent.