skills/mukul975/anthropic-cybersecurity-skills/analyzing-memory-forensics-with-lime-and-volatility/Gen Agent Trust Hub
analyzing-memory-forensics-with-lime-and-volatility
Pass
Audited by Gen Agent Trust Hub on Apr 29, 2026
Risk Level: SAFECOMMAND_EXECUTIONDATA_EXFILTRATIONEXTERNAL_DOWNLOADS
Full Analysis
- [COMMAND_EXECUTION]: The
scripts/agent.pyscript uses thesubprocessmodule to execute system commands includinguname,insmod(for kernel module loading), and thevol3Volatility 3 CLI tool. - [COMMAND_EXECUTION]: The skill requires high-privilege operations, specifically the insertion of kernel modules to perform memory acquisition, which typically necessitates root or sudo permissions on the target system.
- [DATA_EXFILTRATION]: The skill allows for the extraction of sensitive system data from memory images, including process lists, network connections (
linux.sockstat), and user command history (linux.bash). This behavior is consistent with the skill's stated purpose for forensic analysis. - [EXTERNAL_DOWNLOADS]: The documentation references established forensic tools from reputable sources, such as the LiME project (github.com/504ensicsLabs/LiME) and the Volatility 3 framework (github.com/volatilityfoundation/volatility3).
- [DATA_EXFILTRATION]: The
references/api-reference.mdfile documents a feature of LiME that allows streaming acquired memory over a TCP connection (e.g.,path=tcp:4444), which is a standard method for network-based memory forensics.
Audit Metadata