hub-init

原文涵盖的主题

• /hub-init — Create New Session
• Usage
• What It Does
• If arguments provided
• If no arguments (interactive mode)
• Output
• Baseline Capture
• After Init

Initialize an AgentHub collaboration session. Creates the .agenthub/ directory structure, generates a session ID, and configures evaluation criteria. Pass them to the init script: Collect each parameter: 1. Task — What should the agents do? (required) 2. Agent count — How many parallel agents? (default: 3) 3. Eval command — Command to measure results (optional — skip for LLM judge mode) 4. Metric name — What metric to extract from eval output (required if eval command given) 5. Direction — Is lower or higher better? (required if metric given) 6. Base branch — Branch to fork from (default: current branch) For content or research tasks (no eval command → LLM judge mode): If --eval was provided, capture a baseline measurement after session creation: 1. Run the eval command in the current working directory 2. Extract the metric value from stdout 3. Append baseline: {value} to .agenthub/sessions/{session-id}/config.yaml 4. Display: Baseline captured: {metric} = {value} This baseline is used by resultranker.py --baseline during evaluation to show deltas. If the eval command fails at this stage, warn the user but continue — baseline is optional. Tell the user: Session created with ID {ses

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