LLM Review
Accepted by LLM review
Reason codes
No reason codes published.
Redacted rationale
The agent.py file contains a standard agent implementation for a Terminal-Bench task. It defines an AgentRuntime context manager, tool definitions (invoke, look, set, prove, halt), and handlers for those tools. The code uses standard patterns: API calls to DeepSeek, message trimming, budget tracking, and shell command execution through a BaseEnvironment. There is no evidence of prompt injection, security bypasses, or malicious code. The similarity scores are all in the low risk band (highest at 49.71%), and there are no exact AST hash matches. The code appears to be a legitimate, well-structured agent submission derived from a base agent template.