凡自治之物 · LGD 治理学 · 创造术家族 | 评测协议:见平台质量门禁规范
English
When to use
- Pre-release compliance screening of marketing copy for supplements, nutraceuticals and food products.
- Detecting illegal therapeutic claims in text such as "cure" or "heal".
- Checking, before publication, whether the copy is missing required health warnings or risk disclaimers.
Usage
- Command:
python scripts/health_claim_guard.py --input <copy> - Parameters:
--inputaccepts the string or file path to scan; the core logic script runs the analysis directly. - Dependency check: make sure the local environment can find and read the main script.
Workflow
- Start the Python runtime and load
health_claim_guard.py. - Feed the copy under review into the scan engine via CLI argument or stdin.
- The system parses the text automatically, flagging words with illegal features such as "cure" or "no side effects".
- It checks whether compliant warning-language statements are present; if missing, the text is flagged high-risk.
- Emit the final verdict: FAIL if violations exist, otherwise PASS.
Evidence & safety statement
- Evidence: TBD (no evaluation / badge link yet; update here once it is produced)
- Version: 1.0.1
- Security: no independent security scan has been performed (TBD); the conclusion is pending and no endorsement is given until it is completed.
中文
何时用
- 适用于保健品、营养品等营销文案的合规性预检场景。
- 用于检测文本中是否存在“根治”、“治愈”等违规医疗疗效宣称。
- 在发布前检查宣传内容是否遗漏必要的健康警示语或风险提示。
用法
- 执行命令:
python scripts/health_claim_guard.py --input <文案内容> - 参数说明:
--input参数接受待扫描的字符串或文件路径,直接调用主逻辑脚本执行分析。 - 依赖检查:确保本地环境中主脚本文件可被正常识别与读取。
流程
- 启动 Python 环境并加载
health_claim_guard.py脚本。 - 将待审核的宣传文案通过命令行参数或标准输入注入到扫描引擎中。
- 系统自动解析文本,识别包含“根治”、“无副作用”等违规特征的词汇。
- 检测文案中是否存在合规的警示语声明,若缺失则标记高风险。
- 输出最终判定结果,存在违规行为时返回 FAIL,否则显示 PASS。
证据与安全声明
- 证据:TBD(暂无评测/徽章链接;产生后在此更新实际链接)
- 版本:1.0.1
- 安全:未做独立安全扫描(TBD),结论待补;补全前不作推荐背书。
