Frame Check — Meta-Module Orchestrator

Prompt framing shapes the space of possible answers by implicitly directing the reasoning path. Frame Check identifies these framing mechanisms after a thinking session to reveal hidden biases and guide reframe prompts for broader exploration.

You can analyze framing effects in multi-agent discussions by running Frame Check after a thinking session. It reads conversation history, enumerates active framing mechanisms, and presents an alternative question to expand the solution space.

Yes, applying metacognition through frame analysis improves reasoning quality. Frame Check acts as a meta-module orchestrator, evaluating how questions were framed and suggesting reframed prompts to avoid constrained answer spaces.

The best way to reframe a question is to use a Frame Analyst agent to review the conversation history and identify specific framing mechanisms. Frame Check then generates a single alternative question to guide broader exploration.

Frame analysis works specifically after a reasoning session. Frame Check is applied to the completed conversation history to surface framing effects that shaped the answers, rather than acting during initial prompt generation.

You should avoid using a meta-module orchestrator like Frame Check if you need real-time prompt generation or lack a completed conversation history. It requires existing multi-agent discussions to analyze framing effects effectively.