computer-science-algorithms
Pass
Audited by Gen Agent Trust Hub on Jul 6, 2026
Risk Level: SAFE
Full Analysis
- [PROMPT_INJECTION]: The skill instructions and documentation are purely focused on algorithmic best practices. There are no attempts to override agent behavior, bypass safety filters, or extract system prompts.
- [DATA_EXFILTRATION]: No sensitive file access or network operations that could lead to data exfiltration were found. The skill does not access credentials or private user data.
- [EXTERNAL_DOWNLOADS]: The skill references several external educational and academic resources (e.g., MIT Press, Princeton University, Wikipedia, and USACO Guide) for documentation purposes. There are no automated downloads of executable code or scripts.
- [REMOTE_CODE_EXECUTION]: There are no patterns involving remote script execution or the retrieval of external payloads. All code provided consists of static Python examples for classical algorithms.
- [COMMAND_EXECUTION]: No shell commands, privilege escalation attempts, or unauthorized subprocess calls are present in the skill files.
- [CREDENTIALS_UNSAFE]: No hardcoded API keys, secrets, or tokens were detected. Code examples use standard placeholders or benign variable names.
- [DATA_EXPOSURE]: The skill is designed to provide algorithmic advice and does not interact with sensitive files such as SSH keys, cloud configurations, or environment variables.
Audit Metadata