- 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
- bins
- 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:
- 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:
- 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 findingsAnalyst assessmentMain conclusion