A CLI wrapper for the blader/humanizer skill. Bundles the humanizer prompt with your text and outputs it to any LLM.
No API calls. No dependencies. Just prompt + input → output.
CLI (humanizer-cli) |
Skill (blader/humanizer) |
|
|---|---|---|
| Best for | Automated pipelines, CI/CD, scripts | Interactive editing in Claude Code |
| Runs on | Any machine with Node.js | Only where Claude Code skills are installed |
| How it works | Bundles prompt + text → stdout, pipe to any LLM | Claude Code loads the skill and rewrites in-place |
Use the CLI when you're running in production, on a server, or in any environment that doesn't have access to local Claude Code skills. Use the skill when you're working interactively in Claude Code on your own machine.
npm install -g humanizer-cliRequires Node.js 18.3+.
# Pipe a file to Claude
humanizer essay.txt | claude --print
# Pipe stdin, then to llm
cat essay.txt | humanizer | llm
# Read from macOS clipboard
humanizer --clipboard | claude --print
# Just see the bundled prompt (no LLM needed)
humanizer essay.txt
# Output only the system instructions
humanizer --prompt-only| Flag | Short | Description |
|---|---|---|
--help |
-h |
Show usage |
--version |
-v |
Show version |
--clipboard |
-c |
Read input from macOS clipboard (pbpaste) |
--prompt-only |
-p |
Output only the system prompt |
Input priority: file argument > --clipboard > stdin > show help.
The bundled prompt covers 24 AI writing patterns across four categories:
- Content — significance inflation, notability name-dropping, superficial -ing analyses, promotional language, vague attributions, formulaic challenges sections
- Language — overused AI vocabulary, copula avoidance, negative parallelisms, rule of three, synonym cycling, false ranges
- Style — em dash overuse, boldface overuse, inline-header lists, title case headings, emojis, curly quotes
- Communication — chatbot artifacts, knowledge-cutoff disclaimers, sycophantic tone, filler phrases, excessive hedging, generic conclusions
The CLI reads your text, prepends the humanizer system prompt, and writes everything to stdout. The output looks like:
[humanizer instructions — 24 pattern definitions, rewrite process, output format]
Humanize the following text:
[your input text]
MIT