skills/mukul975/anthropic-cybersecurity-skills/collecting-threat-intelligence-with-misp/Gen Agent Trust Hub
collecting-threat-intelligence-with-misp
Pass
Audited by Gen Agent Trust Hub on Sep 14, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADSREMOTE_CODE_EXECUTIONINDIRECT_PROMPT_INJECTIONCOMMAND_EXECUTION
Full Analysis
- [EXTERNAL_DOWNLOADS]: The skill instructions and scripts involve downloading the
misp-dockerrepository from the MISP organization's official GitHub repository to facilitate platform deployment. This is documented neutrally as a standard administrative task using a well-known service. - [REMOTE_CODE_EXECUTION]: Deploying the threat intelligence platform involves executing Docker containers and configurations retrieved from the MISP project. This behavior is the primary and intended purpose of the skill to establish a local intelligence sharing environment.
- [INDIRECT_PROMPT_INJECTION]: The skill is designed to ingest and process threat intelligence data from external OSINT feeds (such as URLhaus and CIRCL), which constitutes a potential surface for indirect prompt injection via malicious indicators.
- Ingestion points: External feeds configured in
SKILL.mdand processed viascripts/process.py(e.g.,collect_recent_iocs). - Boundary markers: The
filter_warninglistsfunction inscripts/process.pyis present to filter indicators against known-good lists, reducing the risk of malicious or false-positive data ingestion. - Capability inventory: The skill includes capabilities to write data to the local file system (e.g.,
export_csv,export_stix2inscripts/process.py). - Sanitization: The skill utilizes structured data formats (JSON, CSV, STIX 2.1) and the official
PyMISPlibrary to handle and validate external content. - [COMMAND_EXECUTION]: The documentation provides shell commands for cloning repositories and initializing the environment using Docker, which are standard for the described DevOps workflow.
Audit Metadata