skills/h-mmer/pentest-agents/remember/Gen Agent Trust Hub

remember

Warn

Audited by Gen Agent Trust Hub on May 10, 2026

Risk Level: MEDIUMCOMMAND_EXECUTIONDATA_EXFILTRATION
Full Analysis
  • [COMMAND_EXECUTION]: The skill executes local Python scripts using shell commands constructed from session variables.
  • Evidence: The workflow in SKILL.md triggers commands such as uv run python3 $CLAUDE_PROJECT_DIR/tools/brain.py record <target> confirmed "<description>" "<details>".
  • Security Concern: The variables <target>, <description>, and <details> are sourced from the agent's current session. If this context contains shell metacharacters (e.g., semicolons, backticks, or pipes), it could allow for arbitrary command execution on the host system.
  • [DATA_EXFILTRATION]: The skill is designed to transmit technical patterns and finding data to an external 'global brain'.
  • Evidence: uv run python3 $CLAUDE_PROJECT_DIR/tools/global_brain.py learn technique "<pattern>".
  • Security Concern: This represents a flow of potentially sensitive engagement data to an external repository. While intended for 'cross-target learning,' users should be aware that their activity data is being centralized externally.
  • [INDIRECT_PROMPT_INJECTION]: The skill processes untrusted data from the session context which may originate from external targets during auditing.
  • Ingestion points: SKILL.md instructions specify reading the session context for target, endpoint, and vulnerability details.
  • Boundary markers: No delimiters or safety instructions are used to isolate untrusted session data from the shell command structure.
  • Capability inventory: The skill utilizes shell execution capabilities via the uv run command across several scripts.
  • Sanitization: There is no evidence of sanitization, escaping, or validation of the session-derived strings before they are interpolated into shell commands.
Audit Metadata
Risk Level
MEDIUM
Analyzed
May 10, 2026, 07:58 AM
Security Audit — agent-trust-hub — remember