privacy-api-design
Pass
Audited by Gen Agent Trust Hub on Sep 19, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill serves as a technical reference for designing Privacy APIs. It includes OpenAPI specifications and Python reference implementations for Data Subject Access Requests (DSAR), consent management, and cascading deletion orchestration.
- [COMMAND_EXECUTION]: No command execution patterns or subprocess invocations were detected. The Python scripts (
scripts/process.pyand the code inSKILL.md) use standard library features for data management and logic without interacting with the host system's shell. - [EXTERNAL_DOWNLOADS]: The skill does not perform any external downloads or remote code execution. All logic is self-contained within the provided files.
- [CREDENTIALS_UNSAFE]: No hardcoded credentials, API keys, or sensitive file paths were identified. The API examples use placeholder URLs and standard security scheme definitions (OAuth2, Bearer JWT) which follow best practices.
- [DATA_EXFILTRATION]: No network operations or patterns associated with data exfiltration were found. The implementations are offline demonstrations.
- [PROMPT_INJECTION]: The instructions focus purely on architectural design and do not contain directives that attempt to bypass AI safety filters or override agent behavior.
- [OBFUSCATION]: The content is presented in clear text. No Base64, zero-width characters, or homoglyph-based obfuscation techniques were detected.
Audit Metadata