Strip the AI packaging. Keep the meaning.
Try the browser audit — no install
patina is a deterministic, pattern-based humanizer for Korean, English, Chinese, and Japanese. It finds AI-sounding phrasing and rewrites it without changing the claim, numbers, polarity, or causation.
It is not a black-box paraphraser, authorship detector, or detector-bypass tool. patina is built for allowed AI-assisted drafting where the author wants cleaner voice, an audit trail, and meaning-preservation checks.
Before (AI-sounding; same fixture used by the GIF):
The newly released Notion template pack is an innovative solution designed to transform productivity for modern teams. It offers 30 templates optimized for diverse workflows, with a user-friendly design that enables anyone to leverage them effortlessly. This product introduces a new paradigm for maximizing work efficiency.
After (/patina --lang en --tone marketing — same claims, AI packaging removed):
If Notion still starts as a blank page for your team, open this pack first. It includes 30 templates for common workflows. Duplicate one, adjust the fields you need, and use it for a team project or your own planning without starting from scratch.
Score = 0.0% · 30 templates ✓ · workflow fit ✓ · copy-and-edit use ✓
More examples: Before/After Gallery (한국어) · 30-second terminal demo.
Open patina.vibetip.help to score KO / EN / ZH / JA text in your browser. The playground is audit-only: it does not rewrite text, call external LLMs, or send API keys to a server.
curl -fsSL https://raw.githubusercontent.com/devswha/patina/main/install.sh | bashThen run the skill from Claude Code, Codex CLI, Cursor, or OpenCode:
/patina --lang en
[paste your text here]
Useful skill calls:
/patina --tone narrative
/patina --tone auto --lang en
Requires Node.js >= 18.
npx patina-cli doctor
npx patina-cli --lang en input.txtUse a logged-in local model CLI without an API key:
printf '%s\n' 'Coffee has emerged as a pivotal cultural phenomenon.' \
| npx patina-cli --lang en --backend codex-cliSupported local backends: codex-cli, claude-cli, gemini-cli, kimi-cli.
Without --model, patina passes the strongest documented default per backend:
gpt-5.5 for OpenAI/Codex, claude-sonnet-4-6 for Claude, gemini-2.5-pro
for Gemini, and kimi-code/kimi-for-coding for Kimi Code. See
Authentication (한국어).
For large --batch rewrites, prefer an OpenAI-compatible HTTP backend. Local
CLI backends are agent runtimes; patina caps them conservatively, uses compact
prompts for them, and exposes --timeout-ms, --max-concurrency,
--max-retries, --max-failures, and --max-failure-rate for batch safety.
| 168 patterns | 33 rewrite-capable + 9 score-only viral-hook per language (42 each across KO/EN/ZH/JA) — see the full 168-pattern catalog in PATTERNS.md |
| Modes | rewrite · audit · score · diff · ouroboros |
| Surfaces | agent skill · Node CLI · browser audit playground |
| Free usage | logged-in codex, claude, or gemini CLI can run rewrites without PATINA_API_KEY |
| Calibration | 67.3% editing-hotspot catch [63.5–71.0%] across GPT-5.5 / Claude Sonnet 4.6 / Gemini 2.5 Pro (n=600, KO+EN); 16.0% false positives [11.6–21.7%] on KO+EN human controls (n=200) |
| License | MIT |
Scores are editing signals with false positives and false negatives, not proof of authorship. See Ethics.
patina --lang <ko|en|zh|ja> [mode] [--profile <name>] input.txt| Command | Purpose |
|---|---|
patina input.txt |
rewrite with defaults |
patina --audit input.txt |
detect patterns only |
patina --score input.txt |
output a 0-100 AI-likeness score |
patina --score --exit-on 30 input.txt |
CI gate with exit code 3 when overall > 30 |
patina --diff input.txt |
show pattern-by-pattern changes |
patina --ouroboros input.txt |
iterate with MPS/fidelity rollback |
patina --tone auto --lang en input.txt |
infer and apply a KO/EN tone axis |
patina --format json --quiet input.txt |
script-friendly output |
patina --batch docs/*.md --outdir cleaned/ |
batch file processing |
patina --help prints the full flag list. patina doctor --json checks Node, backend, tmux, and API-key readiness without making an LLM call.
For GitHub Actions, the maintained wrapper is shorter than hand-rolled setup:
name: Patina prose score
on:
pull_request:
paths: ['**/*.md', '**/*.mdx']
permissions:
contents: read
pull-requests: read
issues: write
jobs:
patina:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v6
- uses: devswha/patina-action@v1
with:
score-threshold: 30
lang: auto
comment: trueOther integrations: pre-commit, static sites, Docker, release workflow.
Input
-> semantic anchor extraction (claims, polarity, causation, numbers)
-> stylometry + AI-lexicon scan
-> pattern-guided rewrite
-> self-audit and MPS/fidelity checks
-> cleaned text
If meaning drifts, the change is retried or rolled back. Deterministic analysis lives in src/features/*; LLM-backed rewrite and score calls use the selected backend.
# .patina.default.yaml
version: "4.0.0"
language: ko # ko | en | zh | ja
profile: default
output: rewrite # rewrite | diff | audit | score
tone: # casual | professional | academic | narrative | marketing | instructional | autoProject .patina.yaml overrides defaults. Pattern packs are auto-discovered by language prefix. Additive list keys (blocklist, allowlist, skip-patterns) merge; other arrays replace.
Start here:
- Cookbook — common recipes and workflows
- CLI Contract — flags, formats, score gates, exit behavior
- Authentication — local CLI backends and API providers
- Patterns — full pattern catalog
- Benchmarks · latest report · 2026 rebaseline
- FAQ (한국어)
- Ethics
- Contributing (한국어)
- Changelog
Brand assets and usage rules live in Branding. Design notes live in DESIGN.md.
Inspired by oh-my-zsh's plugin architecture, Wikipedia's "Signs of AI writing", and blader/humanizer.
