writing-anti-ai

writing-anti-ai is a skill for Claude Code from Galaxy-Dawn/claude-scholar. It costs 105 tokens per session (2,360 once invoked), scanned A, original, MIT.

A writing editor that removes common patterns associated with machine-generated prose. It supports English and Chinese text.

In plain words
What is it for?
Use it to revise generated text, polish professional or academic writing, and remove robotic wording.
Why use it?
It helps make drafts sound more natural and less repetitive or formulaic.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the claude-scholar plugin — 45 skills, 34 commands, 6 agents, 5 hooks shipped together

Good fit Use it to revise generated text, polish professional or academic writing, and remove robotic wording.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/galaxy-dawn/claude-scholar/writing-anti-ai
About the project

Claude Scholar is a semi-automated research assistant for academic research and software development, supporting literature review, coding, experiments, reporting, writing, and project knowledge management. Computer science and AI researchers use it across the research workflow with several coding-agent platforms; the catalogue contains its skills, commands, agents, hooks, plugin, and instruction.

Galaxy-Dawn/claude-scholar · 5,917 stars · on GitHub

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Galaxy-Dawn/claude-scholar --skill writing-anti-ai
Clone the repo
git clone --depth 1 https://github.com/Galaxy-Dawn/claude-scholar

Made for: Claude Code.

Or install claude-scholar, the plugin that ships this one along with the rest of its 45 skills, 34 commands, 6 agents, 5 hooks.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for writing-anti-ai

README.md
[![agentmods](https://agentmods.dev/badge/skills/galaxy-dawn/claude-scholar/writing-anti-ai/github.svg)](https://agentmods.dev/skills/galaxy-dawn/claude-scholar/writing-anti-ai)
Your own site
<a href="https://agentmods.dev/skills/galaxy-dawn/claude-scholar/writing-anti-ai"><img src="https://agentmods.dev/badge/skills/galaxy-dawn/claude-scholar/writing-anti-ai/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for writing-anti-ai

Your own site · 80×15
<a href="https://agentmods.dev/skills/galaxy-dawn/claude-scholar/writing-anti-ai"><img src="https://agentmods.dev/badge/skills/galaxy-dawn/claude-scholar/writing-anti-ai.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 105 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,360 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 23 Sept 2026
  • Snyk pass 23 Sept 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00105 $0.02360
Opus 5.5 $0.00042 $0.00944
Sonnet 5.5 $0.00021 $0.00472
Haiku 4.5 $0.00011 $0.00236

Measured 1mo ago against content hash 5eac5eaef6cc, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

writing-anti-ai scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/writing-anti-ai/SKILL.md · 237 lines

How it starts

The opening of the file, as written. The whole thing — 237 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Writing Anti-AI

Remove AI-generated writing patterns from text to make it sound natural and human-written. Supports both English and Chinese.

When editing academic prose, check the active installed skills/ml-paper-writing/references/knowledge/paper-miner-writing-memory.md under the current client's skill home for relevant source-attributed writing examples. Use it only to guide natural structure and rhythm. Keep the author's meaning, evidence, and target venue constraints intact. If the memory is absent or irrelevant, continue with this skill's own pattern references.

Overview

This skill identifies and eliminates predictable AI writing patterns from prose, based on Wikipedia: Signs of AI writing, maintained by WikiProject AI Cleanup.

Core insight: LLMs use statistical algorithms to predict what should come next. The result tends toward the most statistically likely outcome that applies to the widest variety of cases—creating detectable patterns.

When to Use This Skill

Trigger phrases:

  • "Humanize this text" / "人性化处理这段文字"
  • "Remove AI writing patterns" / "去除 AI 写作痕迹"
  • "Make this sound more natural" / "让这段文字更自然"
  • "This sounds robotic/AI-generated" / "这听起来像机器写的"
  • "Fix the AI patterns" / "修复 AI 模式"

Use cases:

  • Editing AI-generated content to sound human
  • Reviewing text for AI patterns before publication
  • Polishing academic or professional writing
  • Removing "slop" from prose

Core Rules (快速检查清单)

1. Cut Filler Phrases

Remove throat-clearing openers and emphasis crutches.

English examples:

  • "In order to achieve this goal" → "To achieve this"
  • "Due to the fact that" → "Because"
  • "It is important to note that" → (delete)

中文示例:

  • "为了实现这一目标" → "为了实现这一点"
  • "值得注意的是" → (删除)
  • "基于……的事实" → "因为"

2. Break Formulaic Structures

Avoid binary contrasts, dramatic fragmentation, rhetorical setups.

Patterns to avoid:

  • Negative parallelisms: "It's not just X, it's Y"
  • Rule of three: "A, B, and C" (prefer two or four items)
  • Em-dash reveals: "X—Y" (just use commas)

Read the full file on GitHub · 237 lines

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago Changed · +7 lines 5eac5eaef6cc
  2. 1mo ago First seen · 230 lines · 105 tokens per session scan A b86ea0c27159

Subscribe to this mod's changes

writing-anti-ai is a skill published in the GitHub repository Galaxy-Dawn/claude-scholar (5,917 stars, last pushed 8d ago), licensed MIT. It adds 105 tokens to every session and 2,360 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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