incident-response-plan
Pass
Audited by Gen Agent Trust Hub on Mar 4, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADSDATA_EXFILTRATIONPROMPT_INJECTION
Full Analysis
- [EXTERNAL_DOWNLOADS]: The Node.js implementation utilizes the 'winston' and 'axios' libraries for logging and making HTTP requests.
- [DATA_EXFILTRATION]: The skill includes code to send incident data to a SIEM endpoint (siem.example.com) and Slack webhooks via environment variables for alerting. It also supports exporting reports to the local file system. These actions are within the scope of the skill's intended use-case.
- [PROMPT_INJECTION]: The skill possesses an indirect prompt injection surface as it processes external data. Evidence: (1) Ingestion points: 'description' parameter in Python 'create_incident' and 'metadata' in Node.js 'detectAnomalies'. (2) Boundary markers: None implemented in the provided scripts. (3) Capability inventory: Subprocess-like behavior via 'axios.post' network requests and local file writing through 'export_report'. (4) Sanitization: Input data is not sanitized before inclusion in logs or external transmissions.
Audit Metadata