An open-source prompt stack designed for comprehensive public-market research, covering everything from company deep-dives to red-teaming investment theses.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install research-harness
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install research-harness using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Research Harness?
Research Harness is a professional-grade research framework built for equity analysts, fund managers, and retail investors. It provides a structured stack of 13 modular skills that streamline the research lifecycle across global markets, including US, Hong Kong, and A-shares. By integrating this toolkit into your workflow with Openclaw Skills, you can automate data gathering, perform rigorous model checks, and generate high-impact decision summaries for portfolio managers.
This skill transforms a standard AI agent into a sophisticated financial analyst capable of handling complex tasks like value chain mapping and earnings preview analysis. It bridges the gap between raw market data and actionable investment insights through a standardized evidence grading system and multi-source data adapters.
Research Harness Use Cases
- Conducting a 9-section deep-dive into a new company under coverage to establish a baseline.
- Mapping industry value chains to identify key players and supply-demand imbalances.
- Red-teaming an existing investment thesis to uncover potential risks and falsification paths.
- Preparing for earnings calls with automated metric tracking and consensus gap analysis.
- Generating one-page PM Briefs for fast decision-making in high-pressure trading environments.
How Research Harness Works
- Installation via the Clawhub registry activates the core routing logic within the agent environment.
- Upon initialization, the agent displays a comprehensive 13-point menu for user selection, ranging from research to risk analysis.
- The user inputs a number or describes a task, which is processed by the Autopilot or Master Mode logic to route to the correct sub-skill.
- The skill selects the appropriate data adapter, prioritizing specialized sources like iFind MCP or global web search engines.
- The agent executes the specific research module using an evidence grading system (F1/F2/M1/C1/H1) to ensure technical accuracy.
- The final output is delivered as a structured markdown report, briefing, or decision journal entry.
Research Harness Setup
To get started with this toolkit in your Openclaw Skills environment, use the following command:
clawhub install research-harness
After installation, simply trigger the skill to see the interactive menu. For optimal performance, ensure your environment has access to the iFind MCP or the cn-web-search adapter for deep market data.
Research Harness Data Schema & Taxonomy
Research Harness utilizes several key files to maintain context and track research quality across sessions:
| File | Purpose |
|---|---|
| watchlist.md | Tracks the active coverage universe of stocks and sectors. |
| biases.md | Logs research biases to be checked during Red Team sessions. |
| decision-log.md | A journal documenting the rationale behind investment decisions. |
Additionally, the skill implements an Evidence Grading system to categorize data:
- F1/F2: Fact-based evidence levels.
- M1: Model-driven assumptions and sensitivity checks.
- C1/H1: Consensus expectations and hypothesis tracking.
Research Harness Advanced Features
- Autopilot and Master Mode for intelligent task routing and autonomous multi-step research execution.
- Multi-market support tailored specifically for the nuances of A-shares, HK stocks, and US equities.
- Dynamic data adapter decision tree that intelligently chooses between MCP, web search, and manual input based on availability.
- Integrated Red Team module designed to act as a devil's advocate against established bullish cases.
- Full compatibility with the Openclaw Skills ecosystem for seamless multi-agent collaboration and research automation.
SKILL.md
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