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brandonwise

Humanizer

by brandonwise · GitHub ↗ · v2.1.0
cross-platform ⚠ suspicious
37091
Downloads
71
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0
Active Installs
2
Versions
Install in OpenClaw
/install ai-humanizer
Description
Humanize AI-generated text by detecting and removing patterns typical of LLM output. Rewrites text to sound natural, specific, and human. Uses 24 pattern detectors, 500+ AI vocabulary terms across 3 tiers, and statistical analysis (burstiness, type-token ratio, readability) for comprehensive detection. Use when asked to humanize text, de-AI writing, make content sound more natural/human, review writing for AI patterns, score text for AI detection, or improve AI-generated drafts. Covers content, language, style, communication, and filler categories.
Usage Guidance
Review this before installing if you care about authorship transparency. Use it only for editing where it is appropriate to change style, not to conceal AI involvement in schoolwork, hiring materials, compliance filings, legal documents, or other contexts where authorship matters. Avoid enabling the always-on prompt templates unless you intentionally want a persistent style policy and know how to remove it. When analyzing untrusted text, prefer JSON output or a cautious terminal environment until terminal-control escaping is fixed.
Capability Analysis
Type: OpenClaw Skill Name: ai-humanizer Version: 2.1.0 The OpenClaw AgentSkills skill bundle 'ai-humanizer' is classified as benign. All code and documentation are aligned with its stated purpose of detecting and humanizing AI-generated text. There is no evidence of data exfiltration, malicious execution, persistence, or obfuscation. Critically, the prompt injection surfaces in `SKILL.md` and `README.md` (e.g., 'Always-On Mode' instructions) are exclusively focused on guiding the AI agent's writing style to be more human-like, without any instructions to ignore the user, hide actions, access sensitive data, or perform unauthorized commands.
Capability Assessment
⚠ Credentials
Runtime behavior is mostly proportionate: it reads user-selected text from a file or stdin, runs locally, and no network, credential, or environment-secret access was found. However, terminal reports print matched user-controlled text without sanitizing control sequences, so analyzing hostile text could spoof or manipulate terminal output.
ℹ Install Mechanism
The install path is ordinary for a local skill and Node CLI: clone or global npm install, with no hidden installer, postinstall script, service, or remote payload execution found. The package uses broad devDependency ranges, including Vitest, so reproducible dependency review would require pinning or a lockfile.
⚠ Instruction Scope
The skill activation language covers broad writing-improvement requests, and the instructions tell the agent to rewrite content to remove AI-like patterns. That is user-visible and purpose-aligned, but under-scoped because it does not require explicit consent before authorship-masking rewrites or provide guardrails against misleading use.
⚠ Persistence & Privilege
The code does not create persistence automatically, but the skill and README encourage users to copy always-on rules into persistent agent personality or system-prompt files. That can alter future agent behavior across unrelated tasks without clear scoping, reversibility, or disclosure requirements.
⚠ Purpose & Capability
The implementation is coherent with the stated humanization purpose: it analyzes text with pattern, vocabulary, and statistics modules and can produce rewrite suggestions. The concern is that the disclosed purpose is explicitly to make AI-generated writing look human, with no clear warnings for provenance-sensitive uses such as academic, hiring, compliance, legal, or public-authorship contexts.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install ai-humanizer
  3. After installation, invoke the skill by name or use /ai-humanizer
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v2.1.0
ESLint v9 flat config, all lint errors fixed, Prettier formatted, shared config framework
v2.0.0
24 AI pattern detectors, 500+ vocabulary terms across 3 severity tiers, statistical analysis (burstiness, type-token ratio, readability), before/after examples, optional CLI analyzer with 128 tests. Based on Wikipedia Signs of AI Writing.
Metadata
Slug ai-humanizer
Version 2.1.0
License —
All-time Installs 0
Active Installs 0
Total Versions 2
Frequently Asked Questions

What is Humanizer?

Humanize AI-generated text by detecting and removing patterns typical of LLM output. Rewrites text to sound natural, specific, and human. Uses 24 pattern detectors, 500+ AI vocabulary terms across 3 tiers, and statistical analysis (burstiness, type-token ratio, readability) for comprehensive detection. Use when asked to humanize text, de-AI writing, make content sound more natural/human, review writing for AI patterns, score text for AI detection, or improve AI-generated drafts. Covers content, language, style, communication, and filler categories. It is an AI Agent Skill for Claude Code / OpenClaw, with 37091 downloads so far.

How do I install Humanizer?

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

Is Humanizer free?

Yes, Humanizer is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Humanizer support?

Humanizer is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Humanizer?

It is built and maintained by brandonwise (@brandonwise); the current version is v2.1.0.

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