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 Chinese-language tuition refund checker whose code matches its stated purpose and does not show network use, persistence, credential access, or hidden behavior.
Install this only if you want a Chinese-language local checker for tuition refund tables. It can read the input file you point it at and run local Node code, but the inspected package does not send data out, install dependencies, or make legal/business judgments beyond the listed arithmetic checks.
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 skill advertises trigger phrases such as 退费核对、学费核算、课时折算、教培财务, which are broad business/finance terms rather than narrowly scoped invocation cues. In an agent ecosystem, overly broad triggers can cause accidental activation on ordinary finance discussions, routing sensitive tuition or refund data into this skill when the user did not clearly intend to invoke it.
The file’s natural-language interface, examples, labels, and user-facing advice are entirely in Chinese, including the stated contract and insufficient-input messages. There is no indication that the skill offers a language choice or that the Chinese-only constraint is explicitly justified as a region-specific tool, which can violate language/locale policy requirements.
The primary display name, summary, and descriptions are written in Chinese, and the operational guidance in the markdown body is also Chinese. While an English description exists on L13, the skill does not state that users can choose their preferred language for interaction or output, which may impose a language default without opt-in.
The JSON template's only natural-language content is in Chinese, which implicitly constrains the skill output or example data to a specific language. There is no indication that users can choose another language or that the locale restriction is justified, which matches the language/locale policy-violation category.