grok-research

What This Skill Does

The grok-research skill provides a direct, high-fidelity bridge between your OpenClaw agent and the Grok API, leveraging real-time insights from X (formerly Twitter). Unlike generic research tools that aggregate stale web data, this skill taps into the heartbeat of the crypto community by forwarding user queries directly to Grok. Because it avoids system-level prompt injection or artificial context bloating, the model receives the user's inquiry exactly as intended, ensuring the highest possible accuracy for sentiment and narrative analysis.

Installation

To integrate this skill into your environment, use the OpenClaw package manager. Ensure you have your A9_GROK_API_KEY configured in your environment variables before running.

1. Install via CLI: clawhub install openclaw/skills/skills/arespollo/grok-research
2. Navigate to the directory: cd ~/.openclaw/workspace/skills/grok-research
3. Ensure your environment variable is set: export A9_GROK_API_KEY=your_key_here
4. Execute: bun run grok-research.ts <query>

Use Cases

This skill is specifically engineered for qualitative crypto research where social sentiment is the primary metric. Use it when you need to understand the 'why' behind a token's price movement. Ideal scenarios include:

• Analyzing the current narrative surrounding a new meme coin launch.
• Identifying key influencers' stances on specific DeFi protocols.
• Summarizing community reactions to a project's recent governance proposal.
• Decoding the sentiment of 'CT' (Crypto Twitter) regarding a specific ticker symbol.

Example Prompts

1. "调研一下代币叙事 $buttcoin Cm6fNnMk..."
2. "Research: What is the general sentiment on X regarding the recent security incident for the XYZ protocol?"
3. "帮我看看这个币 $meme，大家在推特上都在讨论它的哪些特点？"

Tips & Limitations

To maximize the utility of grok-research, keep your queries focused and specific to social trends.

Crucial Limitations:

• No Financial Advice: This tool is strictly for narrative and social sentiment analysis. It is explicitly not designed for price analysis, real-time on-chain data querying, or automated trade execution.
• Direct Passthrough: Since the skill forwards queries as-is, ensure your prompt is clear and well-defined to avoid ambiguity in the model's output.
• Formatting: When sending output to Discord, remember to strip markdown tables to ensure clean rendering for your users. Use the default grok-4.20-beta for general queries, or grok-4.1-thinking if you require more robust logical reasoning in the analysis.