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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.mdtriggers commands such asuv 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.mdinstructions 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 runcommand 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