Ae1
- Category
- analysis-evasion
- Confidence
- 100% confidence
- Finding
Referenced artifact was not completely inspected
- Content
md node scripts/run.mjs --sample # 先看样例
Security audit
Security checks for vulnerabilities and agentic risk
This skill is a local, disclosed material-cost variance table checker with no evidence of network use, persistence, credential access, or hidden behavior.
Install only if you are comfortable running a local Node.js checker on material cost variance allocation table data. The skill is mainly designed for Chinese-language tables and does not perform the additional checks listed as withheld or out of scope.
Referenced artifact was not completely inspected
node scripts/run.mjs --sample # 先看样例
Referenced artifact was not completely inspected
node scripts/run.mjs --sample # 先看样例
The primary display name, summary, tags, and operative descriptions are all in Chinese, and the usage guidance throughout the document is likewise Chinese. Although an English description exists on L13, the skill does not state that users may choose their preferred language, which can amount to forcing a locale without opt-in.
The file’s user-facing natural-language documentation, examples, labels, advice, and disclaimers are entirely in Chinese, and the expected input schema also uses Chinese column names. There is no indication that users may choose another language or locale, which can violate a policy requiring language choice or opt-in.
The inline documentation states that non-JSON input is treated as '直接粘贴的合同全文', which contradicts the rest of the file and manifest that consistently describe the accepted material as a 材料成本差异分摊核对表 with headers. The implementation itself just wraps arbitrary text into { text: stripped }, so the comment actively describes a different business document type than the skill's intended scope.
The JSON payload consists entirely of Chinese headers and values, indicating a fixed language/locale choice embedded in the skill data. Under the policy rules, forcing a specific language without user choice or a documented justification is a natural-language policy concern.