LLM Review
Accepted by LLM review
AllowReason codes
No reason codes published.
Redacted rationale
After reviewing the artifact manifest and similarity evidence, I find no policy violations. The similarity scores are all in the 'low' risk band (highest at 63.3%, with most below 30%). The top file pairs show matches primarily in small boilerplate files like __init__.py files and simple utility modules, which is expected for Python projects using common patterns. There are no concrete prompt injection attempts to override reviewer, validator, benchmark, grading, or security instructions. No evidence of [REDACTED_SECRET] exfiltration or policy bypass. The submitted_agent.py is a simple re-export stub (406 bytes). The codebase appears to be a legitimate multi-agent AGI framework with standard components (orchestrator, reasoning, sub-agents, quality harness, etc.).