Kadlint

io.github.feelyday由 GitHub 账号 feelyday 发布v0.1.1更新于 Oct 24, 2026

Korean ad-compliance linter for cosmetics and health-food marketing copy

已验证STDIO仅桌面开发者工具商业与电商

概览

AI 生成的概览

本地 MCP 服务器,用于检查韩文化妆品与健康功能食品营销文案中的违规广告用语,并给出法律依据与更安全的替代表述。

可以做什么
检查广告文案:check_ad_copy 工具对韩文营销文本进行检测,可限定为化妆品、健康食品或通用规则,返回违规类别、法律依据、严重程度和建议替代表述。
适用场景
适合在撰写或审阅韩文化妆品、健康功能食品广告时,在发布前快速排查涉药或缺乏依据的宣称。
运行要求
通过 npm 包 kadlint 以 npx 作为本地进程运行,需要 Node.js 18 或更高版本。未声明账号、API 密钥或环境变量。
安装前请注意
它是基于人工整理规则词典的启发式检查工具,并非法律意见;检查通过不保证合规,法规也会变化。广告的最终法律责任由广告主承担,高风险文案请咨询专业人士。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Kadlint,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

kadlint

Korean ad-compliance linter for cosmetics and health-food marketing copy — detects prohibited claims with the legal basis, severity, and safer alternatives.

[npm version] [CI] [license]

한국어 README

Korean law tightly regulates what cosmetics and health-functional-food ads may claim. A face cream may not say it "treats acne" (that is a drug claim under the Cosmetics Act), a probiotic may not promise to "boost immunity" unless that exact functionality was approved, and "No.1" / "100% natural" claims require objective substantiation under the Fair Labeling and Advertising Act. Korea's Ministry of Food and Drug Safety (MFDS) keeps detecting thousands of unlawful online ads in these categories every year — in 2025 its routine sweeps again flagged large batches of cosmetics and health-food ads for drug-like or unsubstantiated claims, and violations can mean ad bans, sales suspensions, and fines.

kadlint lints Korean marketing copy against a curated dictionary of 299 rules (183 cosmetics, 51 health-food, 65 common) distilled from:

  • 화장품법 (Cosmetics Act) and its enforcement rules (별표5)
  • 건강기능식품법 / 식품표시광고법 (Health Functional Foods & Food Labeling/Advertising Acts)
  • 표시광고법 (Fair Labeling and Advertising Act)
  • MFDS advertising guidelines and enforcement precedents

Every finding comes with the violation category, the legal basis citation, a severity (high / medium / low), an explanation, and safer alternative phrasings.

Install

sh
npm install -g kadlint     # CLInpm install kadlint        # library

Requires Node.js >= 18.

CLI

sh
kadlint check ad-copy.txtkadlint check ./landing-pages --format json --min-severity highkadlint check - < draft.md                 # stdinkadlint check banner.html --domain cosmetics,common
ad-copy.txt:1:1 [HIGH] '여드름 치료' — 의약품 오인 표현 (cos-113)    근거: 화장품법 제13조제1항제1호, 식약처 「화장품 표시·광고 관리 지침」    대체 표현: 피지·각질 케어로 매끈한 피부결 / (실증 보유 시) 여드름성 피부에 사용 적합
✖ 1건 발견 (high 1 · medium 0 · low 0) — 파일 1개, 규칙 299개 검사
  • Supported inputs: .txt, .md, .html (tags stripped, offsets preserved), directories (recursive), - (stdin).
  • Exit codes: 0 clean, 1 findings at/above --min-severity, 2 usage error.
  • Literal rules match through inserted spaces, middle dots, and hyphens (살 균, 살·균, 살-균), a common evasion tactic; disable with --no-normalize.

API

ts
import { lint, lintFile } from 'kadlint';
const result = lint('여드름 치료에 탁월한 크림', { domains: ['cosmetics'] });for (const f of result.findings) {  console.log(f.ruleId, f.severity, f.match, f.legalBasis, f.alternatives);}
const fileResult = lintFile('landing.html', { minSeverity: 'medium' });

Options: domains (cosmetics | health_food | common), minSeverity, normalize (default true).

When one of a rule's exceptions phrases appears within 80 characters of a match (e.g. an approved functional claim used verbatim), the finding is downgraded to low with an explanatory note.

MCP server

kadlint-mcp exposes a check_ad_copy { text, domain? } tool over stdio so LLM assistants can lint copy while drafting it.

Claude Desktop (claude_desktop_config.json):

json
{  "mcpServers": {    "kadlint": {      "command": "npx",      "args": ["-y", "kadlint", "kadlint-mcp"]    }  }}

If installed globally, "command": "kadlint-mcp" suffices:

json
{  "mcpServers": {    "kadlint": { "command": "kadlint-mcp" }  }}

Claude Code:

sh
claude mcp add kadlint -- kadlint-mcp

or in .mcp.json:

json
{  "mcpServers": {    "kadlint": {      "command": "kadlint-mcp",      "args": []    }  }}

Playground

playground/index.html is a dependency-free static page (GitHub Pages friendly): paste copy, get highlighted matches and rule cards with the legal basis and alternatives.

Rule dictionary

Rules live in data/*.json:

json
{  "id": "cos-113",  "pattern": "여드름.{0,8}(개선|치료|완화|박멸|없애|케어|예방)",  "pattern_type": "regex",  "violation": "의약품 오인 표현",  "legal_basis": "화장품법 제13조제1항제1호",  "severity": "high",  "message": "…why this is prohibited…",  "alternatives": ["피지·각질 케어로 매끈한 피부결"],  "exceptions": ["여드름성 피부 완화 기능성화장품 심사(보고) 효능효과"]}

data/_needs_review.json is a backlog of candidate rules that have not been verified yet; it is excluded from the npm package. Contributions welcome — see CONTRIBUTING.md (no coding required, every rule must cite its legal basis).

Disclaimer

  • kadlint is not legal advice. It is a heuristic linter over a hand-curated dictionary.
  • A clean result does not guarantee compliance — false negatives are inherent to pattern matching, and regulations change.
  • Final legal responsibility for any advertisement rests with the advertiser. Consult a qualified professional for high-stakes copy.

Roadmap

  • v0.2: PyPI mirror (pip install kadlint), review of the 25 backlog rules in _needs_review.json, and a pipeline for tracking MFDS guideline revisions.

License

MIT © 2026 Jungkyun Lim

来源:README.md,提交 9a207ba

工具

0
SourceWeft 尚未在沙箱中启动过该软件包,因此其工具未知。

版本历史

1
  1. v0.1.1最新Sep 16, 2026

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