skills/mukul975/anthropic-cybersecurity-skills/analyzing-linux-audit-logs-for-intrusion/Gen Agent Trust Hub
analyzing-linux-audit-logs-for-intrusion
Pass
Audited by Gen Agent Trust Hub on Sep 14, 2026
Risk Level: SAFECOMMAND_EXECUTIONDATA_EXFILTRATIONINDIRECT_PROMPT_INJECTION
Full Analysis
- [COMMAND_EXECUTION]: The
scripts/agent.pyscript executes theausearchsystem utility using thesubprocessmodule to query audit logs. This is a controlled execution using a list of arguments, which prevents shell-based command injection. - [DATA_EXFILTRATION]: The skill is designed to read and monitor sensitive system logs and files, such as
/var/log/audit/audit.logand/etc/shadow, which is essential for its stated purpose of intrusion detection. There is no evidence of these findings being transmitted to external or unauthorized destinations. - [INDIRECT_PROMPT_INJECTION]: The skill processes untrusted system log data which could potentially contain attacker-influenced content.
- Ingestion points: System audit logs read from
/var/log/audit/audit.logby the Python agent script. - Boundary markers: The log parsing logic separates fields but does not include explicit instructions for the AI to ignore instructions potentially embedded within the log strings.
- Capability inventory: The skill can execute specific local binaries and write data to the local file system.
- Sanitization: Field values from the logs are extracted via regular expressions but are not further sanitized for potential prompt injection patterns.
Audit Metadata