搜索研判
search-analyst-pair
by baobaodawang-creater
Turn any research request into a structured, reviewable brief — fact collection, risk analysis, and recommendation in three deterministic steps.
安装
claude skill add --url github.com/openclaw/skills/tree/main/skills/baobaodawang-creater/search-analyst-pair必需环境变量
OPENCLAW_BASE_URLOPENCLAW_TOKEN必需命令行工具
python3curljq文档
Search Analyst Pair
This skill packages a deterministic /hunt workflow for OpenClaw.
When a user message starts with /hunt, the workflow follows a strict 3-hop chain:
- Search (DeepSeek): gather facts and sources only.
- Analyst (Gemini): analyze Search output and identify key points and risks.
- Main (Kimi): synthesize Search + Analyst into final guidance.
Why this skill
- Prevents ad-hoc routing for critical tasks.
- Separates fact collection, analysis, and decision output.
- Supports both native OpenClaw orchestration and a FastAPI fallback runner.
Best-fit scenarios
- Time-sensitive research tasks that require reliable structure.
- Decision support where source traceability matters.
- Team workflows that need stable, reviewable output sections.
Requirements
- OpenClaw gateway running and reachable.
- Agent IDs available:
main,search,analyst. tools.agentToAgent.enabled=truein OpenClaw config.subagents.allowAgentsconfigured:mainallowssearch,analystsearchallowsanalyst
Behavior contract
- Trigger prefix:
/hunt - Fixed order:
Search -> Analyst -> Main - Fallback policy: if agent-to-agent spawn fails, the workflow must explicitly mark fallback output.
Usage examples
/hunt Review today's agent framework updates and give a practical migration plan.
/hunt Collect top legal AI workflow changes this week and assess implementation risk.
Output shape (recommended)
Search findingsAnalyst assessmentMain conclusion
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