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Search Analyst Pair

核心功能：触发/hunt前缀后，遵循「搜索-分析-合成」三步固定流程，生成含事实、风险、建议的结构化内容，分离事实收集、分析与决策输出，保障溯源性。典型场景：时间敏感的可靠研究、需溯源的决策支持、团队可审阅工作流。输入为带/hunt的研究请求，输出分三固定模块，支持OpenClaw编排及FastAPI fallback。

baobaodawang-creater
baobaodawang-creater
热度 48.00
最近更新 2026-05-11 17:33:29
分类：数据依赖：内部调用大模型 / MCP 服务应用场景：研究 / 报告撰写

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add search-analyst-pair
Metadata
name
search-analyst-pair
description
Turn any research request into a structured, reviewable brief — fact collection, risk analysis, and recommendation in three deterministic steps.
version
1.0.0
metadata
{"openclaw":{"requires":{"env":["OPENCLAW_BASE_URL","OPENCLAW_TOKEN"],"bins":["python3","curl","jq"]},"primaryEnv":"OPENCLAW_TOKEN","emoji":"🔍","homepage":"https://github.com/baobaodawang-creater/neo-agent-lab"}}

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

/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 findings
  • Analyst assessment
  • Main conclusion