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cp3d1455926-svg

Humanize Ai Text

by cp3d1455926-svg · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install humanize-ai-text-cp3d
Description
Detect and remove AI-generated writing patterns to rewrite text for a more natural, human-written style with diagnostic reports and version comparison.
README (SKILL.md)

\r \r

Humanize AI Text\r

\r Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written.\r \r Based on Wikipedia's comprehensive "Signs of AI writing" guide.\r \r

Features\r

\r

  • AI Detection: Identifies 16 pattern categories of AI-generated text\r
  • Pattern Categories:\r
    • Citation bugs\r
    • Knowledge-cutoff phrases\r
    • Chatbot artifacts\r
    • Markdown/code remnants\r
    • AI-specific vocabulary\r
    • Filler phrases\r
    • Punctuation quirks\r
    • Stylistic parallelisms\r
    • Inflated symbolism\r
    • Promotional language\r
    • Superficial -ing analyses\r
    • Vague attributions\r
    • Em dash overuse\r
    • Rule of three\r
    • Negative parallelisms\r
    • Excessive conjunctive phrases\r \r
  • Diagnostic Reports: Generate detailed AI detection reports\r
  • Text Transformation: Rewrite text to sound more human\r
  • Comparison Mode: Compare original vs humanized versions\r \r

Usage\r

\r

Detect AI Writing\r

\r

# Basic detection\r
python skills/humanize-ai-text/scripts/detect.py text.txt\r
\r
# JSON output\r
python skills/humanize-ai-text/scripts/detect.py text.txt -j\r
\r
# Score only\r
python skills/humanize-ai-text/scripts/detect.py text.txt -s\r
\r
# Pipe text directly\r
echo "This text might be AI-generated" | python skills/humanize-ai-text/scripts/detect.py\r
```\r
\r
### Transform Text\r
\r
```bash\r
# Basic transformation\r
python skills/humanize-ai-text/scripts/transform.py text.txt\r
\r
# Output to file\r
python skills/humanize-ai-text/scripts/transform.py text.txt -o clean.txt\r
\r
# Aggressive mode (more changes)\r
python skills/humanize-ai-text/scripts/transform.py text.txt -a\r
\r
# Quiet mode (no progress output)\r
python skills/humanize-ai-text/scripts/transform.py text.txt -q\r
```\r
\r
### Compare Versions\r
\r
```bash\r
# Compare original and transformed\r
python skills/humanize-ai-text/scripts/compare.py text.txt\r
\r
# Compare and save result\r
python skills/humanize-ai-text/scripts/compare.py text.txt -o document_v2.txt\r
```\r
\r
## Installation\r
\r
The skill is already installed. To use it, ensure you have Python 3 installed.\r
\r
### Dependencies\r
\r
No external dependencies required - uses Python standard library.\r
\r
## Pattern Detection\r
\r
The detection script identifies these AI writing patterns:\r
\r
### 1. Citation Bugs\r
- Fake or unverifiable sources\r
- "According to experts" without specifics\r
- Generic study references\r
\r
### 2. Knowledge Cutoff\r
- "As of my last update"\r
- "I don't have real-time information"\r
- Date-stamped limitations\r
\r
### 3. Chatbot Artifacts\r
- "I'd be happy to help"\r
- "Great question!"\r
- "Let me break this down"\r
- Excessive hedging\r
\r
### 4. AI Vocabulary\r
- "delve into"\r
- "testament to"\r
- "in conclusion"\r
- "it's worth noting"\r
- "important to understand"\r
\r
### 5. Filler Phrases\r
- Unnecessary introductions\r
- Redundant summaries\r
- Padding content\r
\r
### 6. Stylistic Issues\r
- Rule of three overuse\r
- Negative parallelisms\r
- Em dash overuse\r
- Excessive conjunctive phrases\r
\r
## Best Practices\r
\r
1. **Detect First**: Run detection before transformation\r
2. **Review Changes**: Always review transformed text\r
3. **Use Compare**: Compare versions to understand changes\r
4. **Iterate**: May need multiple passes for best results\r
5. **Custom Patterns**: Edit `patterns.json` to add custom detections\r
\r
## Customization\r
\r
### Add Custom Patterns\r
\r
Edit `skills/humanize-ai-text/scripts/patterns.json`:\r
\r
```json\r
{\r
  "custom_patterns": {\r
    "my_pattern": {\r
      "regex": "pattern_here",\r
      "replacement": "replacement_text",\r
      "description": "What this pattern detects"\r
    }\r
  }\r
}\r
```\r
\r
### Batch Processing\r
\r
Process multiple files:\r
\r
```bash\r
for f in *.md; do\r
  python skills/humanize-ai-text/scripts/detect.py "$f" -s\r
  python skills/humanize-ai-text/scripts/transform.py "$f" -a -o "${f%.md}_clean.md" -q\r
done\r
```\r
\r
## Output Formats\r
\r
### Detection Output\r
\r
```\r
AI Detection Report\r
===================\r
File: text.txt\r
AI Probability: 73%\r
\r
Patterns Detected:\r
- AI Vocabulary: 12 instances\r
- Filler Phrases: 8 instances\r
- Stylistic Parallelisms: 5 instances\r
...\r
```\r
\r
### Transformation Output\r
\r
```\r
Original: "I'd be happy to delve into this important topic."\r
Humanized: "Let's explore this topic."\r
```\r
\r
## Security Notes\r
\r
- ✅ No external network calls\r
- ✅ All processing done locally\r
- ✅ No credential access\r
- ✅ Safe file operations only\r
- ✅ No data exfiltration\r
\r
## Integration\r
\r
### With Writing Workflow\r
\r
1. Write draft (AI-assisted or not)\r
2. Run detection to check AI score\r
3. Transform if score is high\r
4. Compare versions\r
5. Manual review and final edits\r
\r
### With Content Pipeline\r
\r
```bash\r
# In CI/CD or pre-commit hook\r
python skills/humanize-ai-text/scripts/detect.py content.md -s\r
# Fail if AI score > threshold\r
```\r
\r
## Troubleshooting\r
\r
### False Positives\r
\r
Some legitimate writing may trigger patterns. Review manually.\r
\r
### False Negatives\r
\r
AI models evolve. Update patterns.json regularly.\r
\r
### Encoding Issues\r
\r
Ensure files are UTF-8 encoded:\r
```bash\r
python skills/humanize-ai-text/scripts/detect.py file.txt --encoding utf-8\r
```\r
\r
## Examples\r
\r
### Example 1: Blog Post\r
\r
```bash\r
# Check AI score\r
python skills/humanize-ai-text/scripts/detect.py blog_post.md -s\r
# Output: AI Probability: 68%\r
\r
# Transform\r
python skills/humanize-ai-text/scripts/transform.py blog_post.md -o blog_post_clean.md -a\r
\r
# Compare\r
python skills/humanize-ai-text/scripts/compare.py blog_post.md -o blog_post_clean.md\r
```\r
\r
### Example 2: Email\r
\r
```bash\r
echo "I hope this email finds you well. I wanted to reach out regarding..." | \\r
  python skills/humanize-ai-text/scripts/detect.py\r
```\r
\r
### Example 3: Academic Writing\r
\r
```bash\r
# Detect AI patterns in paper\r
python skills/humanize-ai-text/scripts/detect.py paper.md -j > report.json\r
\r
# Transform with conservative settings\r
python skills/humanize-ai-text/scripts/transform.py paper.md -o paper_clean.md\r
```\r
\r
## Resources\r
\r
- Wikipedia: "Signs of AI writing"\r
- Original research on AI text detection\r
- Community pattern contributions\r
\r
---\r
\r
*For more info, visit: https://clawhub.ai/biostartechnology/humanizer*\r
Usage Guidance
Do not assume the skill is usable as-is. SKILL.md instructs running Python scripts (detect.py, transform.py, compare.py) and editing patterns.json, but the package contains only README.md and SKILL.md — the executable scripts are missing. This can mean a packaging error, an incomplete upload, or that the real code is fetched from elsewhere (not shown). Before installing or running anything: 1) Request the missing source files from the publisher or a full repository link; 2) If you obtain the scripts, review them (or run them in an isolated sandbox) to verify there are truly no network calls or secret access; 3) Prefer skills with a verifiable source (homepage or repo) and explicit install artifacts; 4) Be cautious about running arbitrary Python scripts from unknown authors even if they claim 'no network calls.' If you cannot verify the code, do not grant this skill execution privileges or include it in automated pipelines.
Capability Analysis
Type: OpenClaw Skill Name: humanize-ai-text-cp3d Version: 1.0.1 The skill bundle provides documentation and instructions for a text processing utility designed to identify and remove AI-generated writing patterns. The SKILL.md and README.md files describe legitimate features such as AI detection, text transformation, and version comparison using local Python scripts. There is no evidence of malicious intent, prompt injection, data exfiltration, or unauthorized system access in the provided files. The instructions are consistent with the stated purpose and follow standard OpenClaw skill conventions.
Capability Assessment
Purpose & Capability
The name and description (detect and rewrite AI-like text) match the claimed behavior, but the SKILL.md repeatedly references Python scripts (detect.py, transform.py, compare.py) and a patterns.json that are not present in the file manifest. The skill also declares Python3 is required in metadata even though no scripts are included—this mismatch suggests the distributed bundle is incomplete or mispackaged.
Instruction Scope
Runtime instructions tell the agent to execute local Python scripts, edit patterns.json, and process arbitrary files — actions that require code that isn't bundled. While the described actions (analyze and rewrite files) are within the stated purpose, the SKILL.md gives explicit commands that would run arbitrary Python code if those scripts existed. The instructions also assert 'No external network calls' and 'No credentials' but those are claims in prose and cannot be verified because the referenced scripts are missing.
Install Mechanism
There is no install spec and no code will be written to disk by an installer (instruction-only), which is low installation risk. However, the skill claims the tooling is 'already installed' and depends on Python scripts that are absent—this is an integrity/packaging issue rather than an install-method risk.
Credentials
The skill requests no environment variables or credentials, which is proportional to a text-processing tool. There is no evidence of requests for unrelated secrets or config paths in the provided files.
Persistence & Privilege
The skill does not request persistent/always-on privileges and uses default autonomous invocation settings. There is no indication it attempts to modify other skills or system-wide agent settings in the provided files.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install humanize-ai-text-cp3d
  3. After installation, invoke the skill by name or use /humanize-ai-text-cp3d
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
No user-facing changes in this version. - No file or documentation changes detected. - Version remains the same as previous (1.0.0). - No updates to features, usage, or documentation.
v1.0.0
Initial release with comprehensive AI text detection and humanization features. - Detects 16 categories of AI-generated writing patterns in text. - Generates detailed AI detection reports, including scores and pattern counts. - Automatically rewrites AI-like text to sound more natural and human. - Provides side-by-side comparison between original and humanized text versions. - Fully local processing using Python 3; no external dependencies or network calls required. - Supports pattern customization and batch processing.
Metadata
Slug humanize-ai-text-cp3d
Version 1.0.1
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 2
Frequently Asked Questions

What is Humanize Ai Text?

Detect and remove AI-generated writing patterns to rewrite text for a more natural, human-written style with diagnostic reports and version comparison. It is an AI Agent Skill for Claude Code / OpenClaw, with 174 downloads so far.

How do I install Humanize Ai Text?

Run "/install humanize-ai-text-cp3d" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Humanize Ai Text free?

Yes, Humanize Ai Text is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Humanize Ai Text support?

Humanize Ai Text is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Humanize Ai Text?

It is built and maintained by cp3d1455926-svg (@cp3d1455926-svg); the current version is v1.0.1.

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