skills/mukul975/anthropic-cybersecurity-skills/analyzing-threat-intelligence-feeds/Gen Agent Trust Hub
analyzing-threat-intelligence-feeds
Pass
Audited by Gen Agent Trust Hub on Sep 14, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTIONEXTERNAL_DOWNLOADSCOMMAND_EXECUTION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill is designed to ingest and process data from external threat intelligence feeds, which are untrusted data sources and represent a surface for indirect prompt injection.
- Ingestion points: Data enters the agent's context through
scripts/agent.pyvia TAXII server responses and local files read from the--ioc-fileargument. - Boundary markers: There are no explicit boundary markers or instructions to isolate the untrusted feed content from the agent's processing logic.
- Capability inventory: The
scripts/agent.pyscript has capabilities to perform network requests using thetaxii2-clientlibrary and write files to the local disk via theexport_stix_bundlefunction. - Sanitization: The script performs basic validation by using regular expressions to classify indicator values into specific types such as IP addresses, domains, and hashes.
- [EXTERNAL_DOWNLOADS]: The skill documentation and prerequisites reference the
taxii2-clientandstix2Python packages. These are industry-standard, well-known libraries for managing threat intelligence data. - [COMMAND_EXECUTION]: The
scripts/agent.pyscript executes file writes and network operations based on command-line arguments such as--taxii-url,--collection-url, and--output.
Audit Metadata