T09 · Insecure Skill Coding Practices
Error
- Location
scripts/operations_main.py:56- Finding
Fabricated Operational, Compliance, and Security Results
- Content
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Vulnerability Details
File Location:
scripts/operations_main.py:56-65,scripts/operations_main.py:92-105,scripts/operations_main.py:135-141,scripts/operations_main.py:195-217,scripts/operations_main.py:222-238, andscripts/operations_main.py:254-261
Vulnerability Type: Misleading hard-coded results and unconditional success reporting
Risk Level: HighVulnerable Code
python # Create daily report data (sample data) data = { '核心指标': ['总销售额', '订单数', '客单价', '转化率', 'ROI'], '今日数值': ['15,000 元', '120', '125 元', '3.5%', '2.5'], '昨日数值': ['12,000 元', '100', '120 元', '3.2%', '2.3'], '环比': ['+25%', '+20%', '+4.2%', '+0.3%', '+8.7%'], '异常标注': ['✅', '✅', '✅', '✅', '✅'] }python # Create compliance inspection report (sample data) data = { '商品 ID': ['1001', '1002', '1003'], '商品名称': ['春秋夹克', '休闲裤', 'T 恤'], '违禁词检测': ['✅ 通过', '✅ 通过', '✅ 通过'], '属性完整性': ['✅ 完整', '⚠️ 缺失面料', '✅ 完整'], '材质一致性': ['✅ 一致', '✅ 一致', '✅ 一致'], '价格合理性': ['✅ 合理', '✅ 合理', '✅ 合理'], '库存状态': ['✅ 充足', '⚠️ 不足 10 件', '✅ 充足'], '风险等级': ['低', '中', '低'], '修改建议': ['', '建议补充面料信息', ''] }python # Create inventory synchronization report (sample data) data = { '库存类型': ['淘宝库存', '网商园现货', '差异'], '数量': ['100 件', '80 件', '-20 件'], '状态': ['✅', '⚠️ 低于安全库存', '⚠️ 需补货'], '建议': ['', '', '建议补货 50 件'] }python def start_cs_auto_reply(self): """Start automatic customer-service replies in the background.""" logger.info("启动客服自动回复（后台运行）") print("💬 正在启动智能客服自动回复...") print() print("✅ 客服自动回复已启动！") print() print("⚠️ 重要提示：") print(" 1. 客服回复开头固定话术：") print(" 「您好，当前为智能客服服务，复杂问题将为您转接人工客服~」") print(" 2. 仅 3 类低风险售后自动处理：") print(" - 未发货仅退款") print(" - 已发货未签收拦截成功退款") print(" - 50 元以内无纠纷小额退款") print(" 3. 其余售后 100% 转人工处理") print(" ...[truncated 3844 chars]- Remediation
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Remediation Suggestions
- Disable operational commands until their underlying platform integrations are implemented.
- Clearly and prominently label all hard-coded output as demonstration data in terminal output, filenames, worksheets, and documentation.
- Retrieve sales, inventory, product, order, and security information from authoritative, read-only Taobao API endpoints.
- Validate API responses, account identity, response timestamps, pagination, and data completeness before producing reports.
- Fail closed when credentials are missing, API requests fail, or required data is incomplete. Never substitute a normal or successful result.
- Report after-sales completion only after receiving and validating a successful platform response for the specified order.
- Report customer-service activation only after a real worker or service has started successfully and passed a health check.
- Include data provenance, collection time, account/store identifier, query status, and explicit uncertainty indicators in every report.
- Add integration tests using mocked API responses for success, authentication failure, timeout, partial data, and platform rejection scenarios.
- Update
README.md,SKILL.md, and the import report so that documented capabilities accurately match implemented behavior.