The Scanner AI found something on ModelFang that needs your input before I can proceed.
The current attack chains in modelfang/datasets/crescendo_chains/full_attack_chains.json are stored as raw JSON. As the red-teaming dataset expands, there is a risk of introducing malformed chains (e.g., missing 'turns', incorrect 'turn' numbering, or missing 'prompt' fields) which would cause the Orchestrator to crash during execution. I suggest implementing a Pydantic schema or a JSON validator script to ensure all dataset files adhere to the required structure before they are loaded by the engine. Does this align with the current development priority, or should the datasets remain flexible?
Please reply with your decision and I'll pick it up on the next cycle.
Generated by Triple-AI Pipeline (Scanner flagged OPEN_ISSUE)
The Scanner AI found something on ModelFang that needs your input before I can proceed.
The current attack chains in modelfang/datasets/crescendo_chains/full_attack_chains.json are stored as raw JSON. As the red-teaming dataset expands, there is a risk of introducing malformed chains (e.g., missing 'turns', incorrect 'turn' numbering, or missing 'prompt' fields) which would cause the Orchestrator to crash during execution. I suggest implementing a Pydantic schema or a JSON validator script to ensure all dataset files adhere to the required structure before they are loaded by the engine. Does this align with the current development priority, or should the datasets remain flexible?
Please reply with your decision and I'll pick it up on the next cycle.
Generated by Triple-AI Pipeline (Scanner flagged OPEN_ISSUE)