Natural-Language Policy Violations
- Category
- Not specified by scanner
- Confidence
- 85% confidence
- Finding
displayName 与全文说明均固定为中文,且未说明支持其他语言或允许用户自行选择输出语言。按组织语言/locale 政策标准,若技能默认强制单一语言而没有用户 opt-in,可能构成自然语言层面的策略违规。
- Content
Security audit
Security checks for vulnerabilities and agentic risk
The skill mostly matches a fitness-plan helper, but it adds a paid remote API and an unpinned executable payment installer that are not clearly scoped in the manifest.
Review this skill carefully before installing. Its fitness advice content is straightforward, but using the paid integration means sending requests to an external service and running a payment installer from npm. Prefer a pinned, reviewed installer version and clear disclosure of payment/API behavior in the manifest before trusting it.
displayName 与全文说明均固定为中文,且未说明支持其他语言或允许用户自行选择输出语言。按组织语言/locale 政策标准,若技能默认强制单一语言而没有用户 opt-in,可能构成自然语言层面的策略违规。
该清单中的“增肌”“减脂”“每周练几天”都是常见健身话题表达,不足以唯一指向此技能;描述也未提供排除条件或负例来界定何时不应触发。对于 manifest/markdown 作用域下的触发定义,这种宽泛短语容易与普通对话重叠。
The manifest frames the skill as a fitness-plan generator, but the file additionally introduces a paid remote API and payment workflow. This expands the trust boundary beyond simple content generation and can mislead users or downstream agents into invoking external payment/install behavior they did not expect from the declared skill purpose.
Embedding payment/install capability inside a fitness-planning skill is context-inappropriate and increases the chance that an agent or user follows unrelated high-risk actions. In this context, external payment and tool installation are not necessary to safely describe workouts, so their presence is suspicious and increases the attack surface.
The skill instructs users to execute npx -y @alipay/agent-payment@latest install, which fetches and runs the latest package version without pinning. This creates a supply-chain risk: if the package is compromised or a breaking/malicious release is published, users may execute attacker-controlled code during installation.
No suspicious patterns detected.