Humanize AI
v1.1.0Humanize AI content by detecting and auto-fixing AI generated content. Humanize AI text using Python scripts. Scans for AI vocabulary, puffery, chatbot artifacts, and auto-replaces filler phrases. Use when you want to analyze text in AI detector and bypass it in future, batch-process files, run automated cleanup, or get a report before manual humanizing.
⭐ 8· 2.2k·3 current·4 all-time
MIT-0
Download zip
LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description claim: detect and auto-fix AI wording. Provided artifacts (patterns.json, analyze.py, humanize.py) implement detection and auto-replacement locally. No unrelated credentials, binaries, or external services are requested.
Instruction Scope
SKILL.md instructs running local Python scripts and batch shell loops that may overwrite files in place (the example uses a temp file then mv back). That behavior is coherent with the purpose but can cause data loss if run without backups. The description mentions 'bypass' AI detectors which is a dual-use/ethical note but the code itself only does local textual replacements and reporting (no detector API calls or exfiltration).
Install Mechanism
Instruction-only skill with bundled Python scripts; no install spec, no external downloads, and no package installation. Low risk from installation mechanism.
Credentials
No environment variables, credentials, or config paths are requested. The scripts only read/write files provided by the user — access is proportional to the stated functionality.
Persistence & Privilege
always:false and agent-autonomy defaults are unchanged. The skill does not request persistent presence or modify other skill/system configs.
Assessment
This skill appears to do what it says: local detection and replacement of AI-style wording. Before installing or running it: 1) Test the scripts on small sample files and inspect changes (use -o to write to a separate file) rather than running in-place batch loops; 2) Backup important files before using the included batch examples that overwrite originals (the provided for-loop example uses mv to replace files); 3) Review and customize scripts/patterns.json to ensure the replacement rules match your intent (some replacements delete text and some patterns are broad); 4) Note minor implementation bugs (the curly-quotes handling and some quote-counting code appear incorrect/ineffective) — consider reviewing/fixing those functions if you rely on them; 5) Be aware the description explicitly mentions 'bypass' AI detectors: the tool provides text-level modifications that can change detector output (dual-use) — consider ethical and policy implications for your use case.Like a lobster shell, security has layers — review code before you run it.
latestvk970r6fdtx83acwzna811c2c0h80bhx7
License
MIT-0
Free to use, modify, and redistribute. No attribution required.