grok-harness
Pass
Audited by Gen Agent Trust Hub on Sep 25, 2026
Risk Level: SAFECOMMAND_EXECUTIONINDIRECT_PROMPT_INJECTIONDATA_EXFILTRATION
Full Analysis
- [COMMAND_EXECUTION]: The skill implements a
multi-harness-orchestratorwhich is designed to emit and execute shell commands. It specifically mentions generating commands such asclaude -p "$(cat CLAUDE.md; cat SHARING.md) <task>"to delegate work to other agent environments. - [INDIRECT_PROMPT_INJECTION]: The skill is configured to automatically ingest and prioritize instructions from project-level files such as
GROK.md,CLAUDE.md, andAGENTS.md. This creates a vulnerability surface where malicious instructions placed in these files by an external contributor or attacker could influence the agent's behavior. - Ingestion points: Processes content from
CLAUDE.md,SHARING.md,AGENTS.md, andGROK.mdlocated within the active project directory. - Boundary markers: The skill body does not specify the use of delimiters or 'ignore' instructions to separate repository data from core system prompts.
- Capability inventory: The skill possesses the ability to execute shell commands, perform directory and file operations, and interact with GitHub via MCP tools.
- Sanitization: No sanitization or validation routines are described for the data read from these configuration files before it is interpolated into prompts for other models.
- [DATA_EXFILTRATION]: The orchestration logic involves reading the entire contents of local files (like
SHARING.mdandCLAUDE.md) and passing that data as a prompt to an external AI service. While intended for context building, this pattern facilitates the transmission of project-specific metadata to external providers.
Audit Metadata