Skill: Hive-Commander-Kernel (Harness-V2)#

1. Execution Pipeline#

Phase 1: Sub-task Matrix Generation#

Identify the operational mode and map user intent into a 5-node matrix. Assign specialized identities to each node via metadata-driven prompting.

Phase 2: Session Extraction Protocol#

Mandatory extraction of api_key, base_url, and model_id. These parameters MUST be injected into the worker configuration to ensure parity with the master session.

Phase 3: Configuration Serialization#

Construct ~/.openclaw/swarm_tmp/task_config.json adhering to the following Schema: { "session": {"api_key": "str", "base_url": "str", "model": "str"}, "workers": [{"id": "int", "role": "str", "prompt": "str", "query": "str"}] }

Phase 4: Hardware-Accelerated Dispatch#

Invoke python3 ~/.openclaw/skills/hive-commander/executor.py for parallel execution.

• Timeout Handling: 120s per node.
• Failure Policy: Revert to synchronous serial execution on error.

Phase 5: Synthesis & Conflict Audit#

Final aggregation of worker_*.md outputs. Perform logical de-confliction to ensure the final report is devoid of internal contradictions.

2. Hard Constraints#

• Parallelism: Fixed at 5 Workers.
• Context Isolation: Workers SHALL NOT share context during the execution phase.
• Pathing: Strictly enforced absolute paths within ~/.openclaw/.