Agent skill

Humanize AI Text

by CraftOS-dev in CraftOS-dev/CraftBot

Humanize AI-generated text to bypass detection. An agent skill from CraftOS-dev/CraftBot.

MITAuto-check passedWriting & Content

Install Humanize AI Text

skills CLI
$ npx skills add CraftOS-dev/CraftBot --skill humanize-ai-text -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install CraftOS-dev/CraftBot humanize-ai-text --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/CraftOS-dev/CraftBot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/humanize-ai-text .claude/skills/humanize-ai-text && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
humanize-ai-text
GitHub stars
392
Used in
1 other repo
Token cost
~1.3k tokens
SKILL.md length
387 words
Files
7 (incl. scripts)
Skills in repo
89
Repo updated
First seen
Licence
MIT

At a glance

Humanize AI-generated text to bypass detection. An agent skill from CraftOS-dev/CraftBot.

  • Works in 4 steps: Scan for detection risk → Transform with comparison → Verify improvement → …
  • Tasks that involve Humanizing AI text
  • SKILL.md covers Quick Start, Detection Categories, Scripts and Workflow, plus 4 more sections
  • Runs Python scripts from its folder; calls python

What it does

Humanize AI Text is an agent skill from CraftOS-dev/CraftBot. Humanize AI-generated text to bypass detection. This humanizer rewrites ChatGPT, Claude, and GPT content to sound natural and pass AI detectors like GPTZero, Turnitin, and Originality.ai. Based on Wikipedia's comprehensive "Signs of AI Writing" guide. Makes robotic AI writing undetectable and human-like.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts (for example `.clawhub/origin.json`, `_meta.json` and `scripts/compare.py`).

It sits in Writing & Content, covering Humanizing AI text. It works with Wikipedia and OpenAI. The repository describes itself as: One agent. Every kind of work. The licence is MIT.

When your agent uses it

  • Tasks that involve Humanizing AI text

Example prompts

  • “s comprehensive”
  • “/humanize-ai-text”

Requirements

  • Python 3
  • Pre-approved tools (allowed-tools): Read, Write, StrReplace, Glob

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Scan for detection risk
  2. Transform with comparison
  3. Verify improvement
  4. Manual review for AI vocabulary and promotional language (requires judgment)

What it can do on your machine

Read from SKILL.md and the folder at commit b50970c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • StrReplace
    • Glob

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 4 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • en.wikipedia.org

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Humanize AI Text loads about 1.3k tokens when it runs. Until then it costs about 81 tokens; SKILL.md has 387 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~81
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from CraftOS-dev/CraftBot at commit b50970c, republished under its MIT licence (© CraftOS-dev). 387 words, ~1,300 tokens.

Download SKILL.mdSave it as .claude/skills/humanize-ai-text/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.
name
humanize-ai-text
description
Humanize AI-generated text to bypass detection. This humanizer rewrites ChatGPT, Claude, and GPT content to sound natural and pass AI detectors like GPTZero, Turnitin, and Originality.ai. Based on Wikipedia's comprehensive "Signs of AI Writing" guide. Makes robotic AI writing undetectable and human-like.
allowed-tools
Read, Write, StrReplace, Glob

Humanize AI Text

Comprehensive CLI for detecting and transforming AI-generated text to bypass detectors. Based on Wikipedia's Signs of AI Writing.

Quick Start

bash
# Detect AI patterns
python scripts/detect.py text.txt

# Transform to human-like
python scripts/transform.py text.txt -o clean.txt

# Compare before/after
python scripts/compare.py text.txt -o clean.txt

Detection Categories

The analyzer checks for 16 pattern categories from Wikipedia's guide:

Critical (Immediate AI Detection)
CategoryExamples
Citation Bugsoaicite, turn0search, contentReference
Knowledge Cutoff"as of my last training", "based on available information"
Chatbot Artifacts"I hope this helps", "Great question!", "As an AI"
Markdown**bold**, ## headers, code blocks
High Signal
CategoryExamples
AI Vocabularydelve, tapestry, landscape, pivotal, underscore, foster
Significance Inflation"serves as a testament", "pivotal moment", "indelible mark"
Promotional Languagevibrant, groundbreaking, nestled, breathtaking
Copula Avoidance"serves as" instead of "is", "boasts" instead of "has"
Medium Signal
CategoryExamples
Superficial -ing"highlighting the importance", "fostering collaboration"
Filler Phrases"in order to", "due to the fact that", "Additionally,"
Vague Attributions"experts believe", "industry reports suggest"
Challenges Formula"Despite these challenges", "Future outlook"
Style Signal
CategoryExamples
Curly Quotes"" instead of "" (ChatGPT signature)
Em Dash OveruseExcessive use of — for emphasis
Negative Parallelisms"Not only... but also", "It's not just... it's"
Rule of ThreeForced triplets like "innovation, inspiration, and insight"

Scripts

detect.py — Scan for AI Patterns
bash
python scripts/detect.py essay.txt
python scripts/detect.py essay.txt -j  # JSON output
python scripts/detect.py essay.txt -s  # score only
echo "text" | python scripts/detect.py

Output:

  • Issue count and word count
  • AI probability (low/medium/high/very high)
  • Breakdown by category
  • Auto-fixable patterns marked
transform.py — Rewrite Text
bash
python scripts/transform.py essay.txt
python scripts/transform.py essay.txt -o output.txt
python scripts/transform.py essay.txt -a  # aggressive
python scripts/transform.py essay.txt -q  # quiet

Auto-fixes:

  • Citation bugs (oaicite, turn0search)
  • Markdown (**, ##, ```)
  • Chatbot sentences
  • Copula avoidance → "is/has"
  • Filler phrases → simpler forms
  • Curly → straight quotes

Aggressive (-a):

  • Simplifies -ing clauses
  • Reduces em dashes
Show full SKILL.md (165 more words)Show less
compare.py — Before/After Analysis
bash
python scripts/compare.py essay.txt
python scripts/compare.py essay.txt -a -o clean.txt

Shows side-by-side detection scores before and after transformation


Workflow

  1. Scan for detection risk:

    bash
    python scripts/detect.py document.txt
  2. Transform with comparison:

    bash
    python scripts/compare.py document.txt -o document_v2.txt
  3. Verify improvement:

    bash
    python scripts/detect.py document_v2.txt -s
  4. Manual review for AI vocabulary and promotional language (requires judgment)


AI Probability Scoring

RatingCriteria
Very HighCitation bugs, knowledge cutoff, or chatbot artifacts present
High>30 issues OR >5% issue density
Medium>15 issues OR >2% issue density
Low<15 issues AND <2% density

Customizing Patterns

Edit scripts/patterns.json to add/modify:

  • ai_vocabulary — words to flag
  • significance_inflation — puffery phrases
  • promotional_language — marketing speak
  • copula_avoidance — phrase → replacement
  • filler_replacements — phrase → simpler form
  • chatbot_artifacts — phrases triggering sentence removal

Batch Processing

bash
# Scan all files
for f in *.txt; do
  echo "=== $f ==="
  python scripts/detect.py "$f" -s
done

# Transform all markdown
for f in *.md; do
  python scripts/transform.py "$f" -a -o "${f%.md}_clean.md" -q
done

Reference

Based on Wikipedia's Signs of AI Writing, maintained by WikiProject AI Cleanup. Patterns documented from thousands of AI-generated text examples.

Key insight: "LLMs use statistical algorithms to guess what should come next. The result tends toward the most statistically likely result that applies to the widest variety of cases."

© CraftOS-dev, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 6 other files (scripts) in skills/humanize-ai-text of CraftOS-dev/CraftBot.

  • SKILL.md
  • .clawhub/origin.json
  • _meta.json
  • scripts/compare.py
  • scripts/detect.py
  • scripts/patterns.json
  • scripts/transform.py

Open the folder on GitHubat commit b50970c

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in CraftOS-dev/CraftBot, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Humanize AI Text next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Humanize AI Text compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Humanize AI Text this skillCraftOS-dev/CraftBot3921 repos~1.3kAutomated safety check: PassMIT
HumanizerLeoYeAI/openclaw-master-skills2.2k—~6.7kAutomated safety check: PassMIT
HumanizerAzure-Samples/interview-coach-agent-framework17237 repos~5.8kAutomated safety check: PassMIT
Korean AI-Text Humanizerepoko77-ai/im-not-ai5.9k—~1.2kAutomated safety check: PassMIT
AI Copywritermikiarlo3/ai-copywriter1.2k—~12kAutomated safety check: PassMIT
ShuorenhuaMrGeDiao/shuorenhua2k—~757Automated safety check: PassMIT

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Works with

Questions about Humanize AI Text

What does Humanize AI Text do?

Humanize AI-generated text to bypass detection. An agent skill from CraftOS-dev/CraftBot. Humanize AI Text is an agent skill from CraftOS-dev/CraftBot. Humanize AI-generated text to bypass detection.

When should I use Humanize AI Text?

Humanize AI Text fits situations like: tasks that involve Humanizing AI text.

How do I install Humanize AI Text in Claude Code?

Run `npx skills add CraftOS-dev/CraftBot --skill humanize-ai-text -a claude-code`. Or copy the skill folder (skills/humanize-ai-text in CraftOS-dev/CraftBot) into .claude/skills/humanize-ai-text in your project. Claude Code loads it when a task matches its description.

How do I install Humanize AI Text in Codex?

Run `npx skills add CraftOS-dev/CraftBot --skill humanize-ai-text -a codex`. Or copy the skill folder (skills/humanize-ai-text in CraftOS-dev/CraftBot) into .agents/skills/humanize-ai-text in your project. Codex loads it when a task matches its description.

Can I use Humanize AI Text in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add CraftOS-dev/CraftBot --skill humanize-ai-text -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/humanize-ai-text, .gemini/skills/humanize-ai-text, .github/skills/humanize-ai-text and .opencode/skills/humanize-ai-text in your project.

What does Humanize AI Text need to run?

Going by SKILL.md and its folder, Humanize AI Text needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Write, StrReplace, Glob.

Does Humanize AI Text access the network?

SKILL.md names 1 domain. As links in the text: en.wikipedia.org. This is read from the text; nothing was executed.

Is Humanize AI Text safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Humanize AI Text use?

Humanize AI Text is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Humanize AI Text use?

About 1.3k tokens (SKILL.md is roughly 5.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Humanize AI Text?

Skills that share tags, products or a category with Humanize AI Text: Humanizer (LeoYeAI/openclaw-master-skills, 2.2k stars), Humanizer (Azure-Samples/interview-coach-agent-framework, 172 stars), Korean AI-Text Humanizer (epoko77-ai/im-not-ai, 5.9k stars) and AI Copywriter (mikiarlo3/ai-copywriter, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Humanize AI Text?

CraftOS-dev (a GitHub user) maintains it in CraftOS-dev/CraftBot, which has 392 GitHub stars. The repository holds 89 skills in this directory. The repository was last updated on October 7, 2026.

Source: CraftOS-dev/CraftBot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.