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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.

3.7k搜索与获取未扫描2026年3月23日

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:

  1. Search (DeepSeek): gather facts and sources only.
  2. Analyst (Gemini): analyze Search output and identify key points and risks.
  3. 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=true in OpenClaw config.
  • subagents.allowAgents configured:
    • main allows search, analyst
    • search allows analyst

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

text
/hunt Review today's agent framework updates and give a practical migration plan.
text
/hunt Collect top legal AI workflow changes this week and assess implementation risk.

Output shape (recommended)

  • Search findings
  • Analyst assessment
  • Main conclusion

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