Security audit
Security checks for vulnerabilities and agentic risk
This is a straightforward Chinese-language data analysis template with no hidden execution, persistence, or credential-handling behavior found.
Install this if you want a Chinese-language data-analysis prompt/template. Review any generated code before running it, especially examples that access local files, databases, or external APIs, and do not send confidential data to third-party services unless you have permission.
The description and overall skill presentation are entirely in Chinese, and the skill name includes a CN marker, indicating a fixed language/locale experience. The file does not state that Chinese is optional or that users can choose another language, which conflicts with the policy against forcing a specific language without opt-in.
The template includes an outbound HTTP request to an external API, which can transmit data off-host if users adapt the example to real datasets or authenticated environments. In a data-analysis skill, this is contextually more sensitive because users may handle proprietary, customer, or regulated data and may not recognize that external enrichment patterns can lead to unintended disclosure.
import requests response = requests.get('https://api.example.com/data') df = pd.DataFrame(response.json())
The code example explicitly sets a Chinese font (SimHei) for plots, imposing a locale-specific presentation choice. There is no accompanying note that this is optional, configurable, or intended only for Chinese-language output.
No suspicious patterns detected.