conorbronsdon

    conorbronsdon/avoid-ai-writing

    Skill that audits and rewrites content to remove AI writing patterns. Use it with your favorite agents including Claude Code, OpenClaw, Codex, and Hermes.

    llm
    ai-writing
    claude
    claude-code
    prompt-engineering
    skill
    JavaScript
    MIT
    5.3K stars
    472 forks
    5.3K GitHub watchers
    Updated Oct 29, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    5 releases in the last 90 days, the latest 14 days ago, with 51 contributors on GitHub.

    The biggest single-day gain in the last year, +160 stars on Aug 29, coincided with release v3.28.0.

    Use Cases & Benefits

    • Audits and rewrites text to remove AI-generated writing patterns using a structured, multi-pass detection and editing approach.
    • Provides detailed, explainable edits with a large vocabulary replacement table and pattern catalog, ensuring precise and transparent AI writing removal.
    • Use for cleaning marketing or startup content to eliminate promotional fluff and vague attributions for clearer, factual communication.
    • Use for auditing AI-generated drafts without altering them, enabling content reviewers to decide which AI patterns are acceptable or need fixing.
    • Use for integrating with AI agents like Claude Code or OpenClaw to automate detection and rewriting of AI writing patterns in real-time workflows.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    MIT

    Permissive: commercial use, modification and redistribution are allowed with attribution.

    Community files

    • README: present
    • Contributing guide: present

    Watch-outs

    No watch-outs from GStars' checks.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    Audit & rewrite content to remove AI writing patterns. A practical skill for any AI agent. Supports detect-only and edit-in-place modes, plus voice profiles.

    A portable writing skill for Claude Code, OpenClaw, Hermes, and any other agentskills.io-compatible agent. Audits and rewrites content to remove AI writing patterns ("AI-isms").

    An optional voice profile (casual / professional / technical / warm / blunt) sets how the prose should sound, independent of the audience context profile.

    Input:

    Certainly! Acme Analytics, a vibrant startup nestled in the heart of Boulder's thriving tech ecosystem, has secured $40M in Series B funding — marking a watershed moment for the observability landscape. The platform serves as a unified hub, featuring real-time dashboards, boasting sub-second queries, and presenting a seamless integration layer. Moreover, experts believe Acme is poised to disrupt the market. In conclusion, the future looks bright!

    Output:

    Acme Analytics raised a $40M Series B led by Sequoia. The Boulder-based startup makes an observability platform that runs queries in under a second and plugs into existing monitoring stacks without custom integration work.

    Excerpt from the conorbronsdon/avoid-ai-writing README on GitHub (MIT license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Aug 2: +15Aug 3: +7Aug 13: +30Aug 14: +14Aug 15: +14Aug 16: +25Aug 17: +30Aug 18: +13Aug 29: +160Aug 30: +70Aug 31: +60Sep 1: +49Sep 2: +45Sep 3: +48Sep 4: +75Sep 5: +27Sep 6: +24Sep 7: +28Sep 8: +33Sep 9: +41Sep 10: +37Sep 11: +16Sep 12: +26Sep 13: +25Sep 14: +23Sep 15: +20Sep 16: +18Sep 17: +24Sep 18: +32Sep 19: +40Sep 20: +57Sep 21: +63Sep 22: +36Sep 23: +26Sep 24: +12Sep 25: +10Sep 26: +9Sep 27: +11Oct 2: +7

    +2,587 stars over 90 days across 45 snapshot days; best day +160 on Aug 29.

    Forks

    472+220

    Open issues

    16+6

    Compared with peers in LLM

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

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