cmux-second-opinion

Fail

Audited by Gen Agent Trust Hub on Oct 7, 2026

Risk Level: HIGHPRIVILEGE_ESCALATIONCOMMAND_EXECUTIONINDIRECT_PROMPT_INJECTIONDYNAMIC_EXECUTION
Full Analysis
  • [PRIVILEGE_ESCALATION]: The skill executes external AI agents with command-line flags specifically designed to bypass built-in security sandboxes and permission request systems.
  • Evidence: The skill launches agents using codex --dangerously-bypass-approvals-and-sandbox and claude --dangerously-skip-permissions (SKILL.md).
  • [COMMAND_EXECUTION]: The skill dynamically builds and executes shell commands in separate terminal surfaces via a multiplexer.
  • Evidence: It uses the cmux send tool to pass command strings, including the unsandboxed agent launch commands, to new workspace surfaces (SKILL.md).
  • [INDIRECT_PROMPT_INJECTION]: The skill ingests untrusted project data (code changes and specifications) and passes them to an AI agent running without security restrictions, creating an exploitable attack surface.
  • Ingestion points: Data is gathered from git diff HEAD and the contents of files within the .specs/ directory and review_rules.md (SKILL.md).
  • Boundary markers: The skill uses simple markdown headers (e.g., ## Diff) but lacks specific instructions to the reviewer agent to disregard potential instructions hidden within the data.
  • Capability inventory: The spawned reviewer agent has shell access and is running with all security sandboxing and permission prompts explicitly disabled.
  • Sanitization: There is no evidence of sanitization or escaping of the ingested diff or specification content before it is transmitted to the secondary agent.
  • [DYNAMIC_EXECUTION]: The skill constructs and executes shell commands for launching agents based on runtime environment variables and logic.
  • Evidence: The skill selects between different reviewer commands and constructs the execution string based on the parent agent identity and user input (SKILL.md).
Recommendations
  • AI detected serious security threats
Audit Metadata
Risk Level
HIGH
Analyzed
Oct 7, 2026, 03:23 AM