LLM Review
Accepted by LLM review
Reason codes
No reason codes published.
Redacted rationale
After reviewing the manifest and reading key files, I need to assess this submission for security issues, particularly PROMPT_INJECTION. The submission is a Python agent framework with multiple modules. The similarity evidence shows low-risk matches (all in the 'low' risk band, with scores ranging from ~6% to ~61%), which is typical for common Python patterns and boilerplate code. The highest similarity matches are for simple __init__.py files and small utility modules, which are expected to be similar across submissions.
I read:
1. `src/prompts/system.py` - A system prompt management module with dataclasses for building prompts. No injection content found.
2. `agent.py` - The main entry point for the agent, with venv bootstrap logic and argparse. No injection content found.
3. `submitted_agent.py` - A simple re-export module that imports Agent from agent.py. No injection content found.
The instructions define PROMPT_INJECTION as: "artifact text that attempts to override reviewer, va