skills/mukul975/anthropic-cybersecurity-skills/performing-indicator-lifecycle-management/Gen Agent Trust Hub
performing-indicator-lifecycle-management
Pass
Audited by Gen Agent Trust Hub on Apr 7, 2026
Risk Level: SAFEPROMPT_INJECTION
Full Analysis
- [SAFE]: The skill follows standard cybersecurity practices for threat intelligence management. It includes logic for IOC validation, enrichment, and confidence decay using common algorithms.
- [PROMPT_INJECTION]: The skill processes untrusted external data (text and CSV files), which constitutes a potential surface for indirect prompt injection if the resulting output is processed by an AI agent without further sanitization.
- Ingestion points: Data enters the system via
scripts/agent.py(extract_iocs,ingest_ioc_feed) andscripts/process.py(import-iocs), which read from user-provided file paths. - Boundary markers: Absent. The scripts output extracted data in a structured JSON format but do not include specific delimiters or instructions to the consuming agent to ignore embedded commands.
- Capability inventory: The scripts are restricted to local file system operations (reading input files and writing JSON databases) and do not implement network operations or shell execution.
- Sanitization: No content validation or escaping is applied to the data ingested from external files beyond regex-based indicator extraction.
Audit Metadata