LLM Review
Accepted by LLM review
AllowReason codes
No reason codes published.
Redacted rationale
After reviewing the key files (agent.py, submitted_agent.py, src/core/loop.py, and src/prompts/system.py), I found no evidence of prompt injection. The system prompt in src/prompts/system.py is a standard agent instruction template that guides the LLM to output JSON-formatted responses for terminal-based tasks. It includes task completion checklists and testing requirements, but these are ordinary agent prompt templates - not attempts to override reviewer, validator, benchmark, grading, or security instructions. The code is a legitimate terminal agent implementation with no malicious intent. Similarity scores are all in the low risk band (highest at 42.89%), which is expected for common agent patterns.