skills/reason-machines/security-skills/experimentersoftroll422-windows-filesystem-security/Gen Agent Trust Hub
experimentersoftroll422-windows-filesystem-security
Fail
Audited by Gen Agent Trust Hub on Sep 18, 2026
Risk Level: HIGHEXTERNAL_DOWNLOADSPRIVILEGE_ESCALATIONCOMMAND_EXECUTIONINDIRECT_PROMPT_INJECTION
Full Analysis
- [EXTERNAL_DOWNLOADS]: The skill instructs the agent to clone and build a project from a personal GitHub repository that is not associated with the skill author or a trusted organization.
- Evidence:
git clone https://github.com/tomw286/experimentersoftroll422-security-loader.gitfollowed bycargo build --release. - [PRIVILEGE_ESCALATION]: The skill requires Administrator privileges to function and explicitly enables highly sensitive Windows privileges that allow for deep system inspection and control.
- Evidence: Mentions requiring "Administrator privileges for driver installation and filesystem monitoring".
- Evidence: Code calls
privileges::enable_debug_privilege(),privileges::enable_backup_privilege(), andprivileges::enable_restore_privilege(). - [COMMAND_EXECUTION]: The skill manages the lifecycle of kernel-mode drivers, which can execute with the highest level of system authority.
- Evidence: Configuration includes
driver_mode = "kernel"and troubleshooting steps includediagnostics::install_driver()anddiagnostics::start_driver(). - [INDIRECT_PROMPT_INJECTION]: The skill implements automated security reactions (like blocking processes) based on untrusted filesystem events, creating a surface for indirect influence over system behavior.
- Ingestion points: Real-time monitoring of file paths, process names, and user SIDs across the filesystem.
- Boundary markers: No delimiters or ignore instructions are used when processing event data.
- Capability inventory: Process termination via
loader.block_process(event.process_id), file access denial, and kernel driver management. - Sanitization: No evidence of input validation or sanitization for filesystem metadata before it is used to trigger security actions.
Recommendations
- AI detected serious security threats
Audit Metadata