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Korean ad-compliance linter for cosmetics and health-food marketing copy
Korean ad-compliance linter for cosmetics and health-food marketing copy
kadlint is a well-structured compliance linter with clean code architecture and appropriate security practices. It requires no external authentication, performs no network calls or data exfiltration, and handles input safely. Permissions are strictly limited to file I/O for the stated purpose. Minor code quality observations around error handling breadth do not materially impact security. Supply chain analysis found 6 known vulnerabilities in dependencies (2 critical, 3 high severity). Package verification found 1 issue.
7 files analyzed · 10 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-feelyday-kadlint": {
"args": [
"-y",
"kadlint"
],
"command": "npx"
}
}
}From the project's GitHub README.
Korean ad-compliance linter for cosmetics and health-food marketing copy — detects prohibited claims with the legal basis, severity, and safer alternatives.
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:
Every finding comes with the violation category, the legal basis citation, a severity (high / medium / low), an explanation, and safer alternative phrasings.
npm install -g kadlint # CLI
npm install kadlint # library
Requires Node.js >= 18.
kadlint check ad-copy.txt
kadlint check ./landing-pages --format json --min-severity high
kadlint check - < draft.md # stdin
kadlint 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
.txt, .md, .html (tags stripped, offsets preserved), directories (recursive), - (stdin).0 clean, 1 findings at/above --min-severity, 2 usage error.살 균, 살·균, 살-균), a common evasion tactic; disable with --no-normalize.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.
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):
{
"mcpServers": {
"kadlint": {
"command": "npx",
"args": ["-y", "kadlint", "kadlint-mcp"]
}
}
}
If installed globally, "command": "kadlint-mcp" suffices:
{
"mcpServers": {
"kadlint": { "command": "kadlint-mcp" }
}
}
Claude Code:
claude mcp add kadlint -- kadlint-mcp
or in .mcp.json:
{
"mcpServers": {
"kadlint": {
"command": "kadlint-mcp",
"args": []
}
}
}
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.
Rules live in data/*.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).
pip install kadlint), review of the 25 backlog rules in _needs_review.json, and a pipeline for tracking MFDS guideline revisions.MIT © 2026 Jungkyun Lim
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