skills/mukul975/anthropic-cybersecurity-skills/detecting-anomalous-authentication-patterns/Gen Agent Trust Hub
detecting-anomalous-authentication-patterns
Pass
Audited by Gen Agent Trust Hub on Apr 10, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: No malicious patterns or security vulnerabilities were detected in the skill instructions or accompanying scripts. The code performs legitimate statistical analysis of security logs.- [DATA_INGESTION]: The skill processes authentication logs provided via CSV files to identify behavioral anomalies. 1. Ingestion points: The
load_auth_logsfunction inscripts/agent.pyreads user-provided CSV files. 2. Boundary markers: Log data is parsed using the standard Pythoncsvmodule. 3. Capability inventory: The script calculates distances, time deltas, and frequencies to output analysis results in JSON format; it does not possess network access or the ability to execute code contained within the logs. 4. Sanitization: The script converts input coordinate strings into float types for mathematical operations, providing basic data validation.
Audit Metadata