skills/mukul975/anthropic-cybersecurity-skills/implementing-patch-management-for-ot-systems/Gen Agent Trust Hub
implementing-patch-management-for-ot-systems
Pass
Audited by Gen Agent Trust Hub on Sep 17, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill implements legitimate cybersecurity workflows for industrial control systems. The Python script
scripts/agent.pyand the code blocks inSKILL.mdperform local data processing on asset inventories and patch definitions to calculate risk scores and compliance status without any suspicious network or file system operations. - [EXTERNAL_DOWNLOADS]: The skill references official sources for vulnerability data, such as CISA (cisa.gov) and NIST (nist.gov). These are well-known, trusted government services used for legitimate security research and advisory tracking.
- [COMMAND_EXECUTION]: Provides example
curlandjqcommands for querying vulnerability feeds andpowershellsnippets for WSUS management. These are documented as educational examples for the user/agent to follow for asset management and do not contain malicious payloads. - [INDIRECT_PROMPT_INJECTION]: The skill ingests JSON data (assets and patches) for processing. While this is an attack surface, the processing logic is strictly mathematical/logical (calculating dates and scores) and does not interpolate untrusted data into instructions that would influence the agent's behavior.
Audit Metadata