https://github.com/HugoLopes45/llmstrip
Strip LLM writing patterns from prose, code comments, and commits — CLI, Claude Code skill, Cursor rule, and LLM system prompt.
https://github.com/HugoLopes45/llmstrip
ai-humanizer ai-tools ai-writing anthropic claude claude-code claude-code-skills claude-skills cli cursor developer-tools git-hooks humanize linter llm opencode productivity rust text-processing
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Strip LLM writing patterns from prose, code comments, and commits — CLI, Claude Code skill, Cursor rule, and LLM system prompt.
- Host: GitHub
- URL: https://github.com/HugoLopes45/llmstrip
- Owner: HugoLopes45
- License: mit
- Created: 2026-02-20T16:57:44.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2026-03-29T12:19:38.000Z (3 months ago)
- Last Synced: 2026-04-03T04:20:39.994Z (3 months ago)
- Topics: ai-humanizer, ai-tools, ai-writing, anthropic, claude, claude-code, claude-code-skills, claude-skills, cli, cursor, developer-tools, git-hooks, humanize, linter, llm, opencode, productivity, rust, text-processing
- Language: Rust
- Homepage: https://github.com/HugoLopes45/llmstrip
- Size: 865 KB
- Stars: 5
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
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README
# llmstrip
Strip AI patterns from text and code. Prompt + linter.
> 25× excess frequency of `delve` post-ChatGPT. 280+ excess words identified. 34 structural rules. Grounded in peer-reviewed data.
## Two ways to use it
**Interactive — the prompt (recommended)**
Paste the system prompt into any LLM, or use the Claude Code skill. The LLM rewrites your text using all 34 rules, including structural patterns that no regex can catch.
**Automation — the binary**
Run `llmstrip --report --fail` in CI or as a git hook. Same rules, deterministic, no network, no runtime.
## Install the prompt
**Claude Code skill:**
```bash
mkdir -p ~/.claude/skills/llmstrip
curl -sL https://raw.githubusercontent.com/HugoLopes45/llmstrip/main/prompts/claude-code.md \
> ~/.claude/skills/llmstrip/SKILL.md
```
Or from the repo: `make install-skill`
Type `/llmstrip` in any Claude Code session to clean the current file.
**Other tools:**
```bash
make install-cursor # Cursor — .cursor/rules/llmstrip.mdc
make install-copilot # GitHub Copilot — .github/copilot-instructions.md
make install-windsurf # Windsurf
make install-zed # Zed
make install-all # All of the above
```
Or copy `prompts/system-prompt.md` into any LLM's system prompt directly.
## Install the binary
```bash
curl -fsSL https://raw.githubusercontent.com/HugoLopes45/llmstrip/main/scripts/install.sh | sh
```
Or via Cargo:
```bash
cargo install --git https://github.com/HugoLopes45/llmstrip
```
## Use cases
### Filter every Claude response automatically
```bash
# .claude/settings.json — PostToolUse hook
{
"hooks": {
"PostToolUse": [{
"matcher": ".*",
"hooks": [{"type": "command", "command": "llmstrip"}]
}]
}
}
```
### Strip AI prose
```bash
echo "Let me delve into this robust and comprehensive approach." | llmstrip
# -> Let me dig into this solid and thorough approach.
```
### Clean AI-generated code comments
```bash
llmstrip --report --mode code service.py
# Mode: code | 4 finding(s)
#
# HIGH (1)
# line 2: LLM docstring boilerplate: 'this function serves as'
#
# MEDIUM (3)
# line 1: Type-in-name: use 'user' instead of 'userDataObject'
```
### Catch AI commit messages before they land
```bash
# .git/hooks/commit-msg
#!/bin/sh
llmstrip --mode code --rules commits --report --fail --min-severity high "$1"
```
## CI gate
Block AI-written release notes in CI:
```bash
llmstrip --report --fail --min-severity high release-notes.md
```
## Rules
34 rules across two levels:
**Word-level (Rules 1-24):** significance inflation, banned vocabulary (delve, robust, leveraging, seamlessly...), copula avoidance, sycophantic openers, chatbot closers, filler phrases, excessive hedging.
**Structural (Rules 25-34):** compound clause addiction, mini-essay paragraphs, sentence-initial transition saturation, paired construction overuse, noun phrase bloat, self-congratulation framing, abstraction level monotony, missing contractions, forward projection cliche, resume verbs.
Full list: [`rules/`](rules/)
## Research
Rules are grounded in peer-reviewed corpus studies:
- **Kobak et al. (2025)** — 15M PubMed abstracts. `delve` appeared 25× more often post-ChatGPT. 280+ excess words. [arXiv:2406.07016](https://arxiv.org/abs/2406.07016)
- **Liang et al. (2024)** — 950K+ papers. `pivotal`, `intricate`, `realm` doubled post-2023. [arXiv:2404.01268](https://arxiv.org/abs/2404.01268)
- **Juzek & Ward (2025)** — RLHF causes it. Human raters prefer formal-sounding output. Models overfit. [arXiv:2412.11385](https://arxiv.org/abs/2412.11385)
## Contribute a pattern
See [CONTRIBUTING.md](CONTRIBUTING.md). Open an issue with the pattern, a before/after, and a corpus source if you have one. Label it `new-rule`.
## License
MIT.