A specialized research skill that forwards queries to the Grok API for real-time crypto sentiment and Twitter narrative analysis.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install grok-research
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 grok-research 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 Grok Research?
Grok Research is a high-performance utility designed for the Openclaw Skills ecosystem that provides a direct pipeline to the Grok API. By leveraging Grok's real-time access to X (formerly Twitter) data, this skill allows developers and researchers to bypass stale training data and access live market sentiments, trending crypto narratives, and project-specific discussions as they happen.
The skill is engineered with a pass-through philosophy: it forwards user queries exactly as they are received without adding prompt injection or unnecessary context bloat. This ensures that the results are purely reflective of the Grok model's interpretation of current social signals, making it an essential component for anyone building modern crypto research agents.
Grok Research Use Cases
- Analyzing the current narrative or 'story' behind a specific token or ticker.
- Investigating community sentiment and 'Crypto Twitter' (CT) buzz for a new project.
- Performing quick due diligence on trending narratives using specific keywords like research or check narrative.
- Tracking real-time reactions to market events without manual social media monitoring.
How Grok Research Works
- The user provides a research query or token ticker to the agent.
- Openclaw Skills identifies the intent and triggers the grok-research module.
- The raw user query is passed as a command-line argument to the TypeScript execution environment.
- The script sends a POST request to the Grok API endpoint at ai.a9.bot using the pre-configured API key.
- Grok processes the request against its real-time knowledge base of social media data.
- The raw text response is returned via stdout and presented to the user, formatted for optimal viewing on platforms like Discord.
Grok Research Setup
To enable this skill, you must provide a valid API key and have the Bun runtime installed in your environment.
# Set the mandatory environment variable
export A9_GROK_API_KEY="your_grok_api_key"
# Navigate to the skill directory within your workspace
cd ~/.openclaw/workspace/skills/grok-research
# Execute a research query
bun run grok-research.ts "What is the sentiment around $BTC today?"
Grok Research Data Schema & Taxonomy
The skill manages data through simple CLI inputs and standardized outputs to ensure compatibility across Openclaw Skills integrations.
| Component | Type | Description |
|---|---|---|
| Query | String | The raw research prompt provided by the user |
| Model | Flag | Optional flag to specify model (default: grok-4.20-beta) |
| Stdout | String | The markdown-formatted response from Grok |
| Stderr | Log | Error logs and connection status |
| API Base | URL | Hardcoded to https://ai.a9.bot/v1 |
Grok Research Advanced Features
- Model Selection: Capability to switch between different model versions such as grok-4.20-beta and grok-4.1-thinking for varying depths of analysis.
- Zero-Prompt Injection: Maintains the integrity of the user's original query by avoiding system-level prompt overrides.
- Chat-Optimized Output: Specifically handles formatting to ensure compatibility with Discord and other messaging interfaces that may struggle with complex markdown tables.
- Direct Bun Integration: Highly efficient execution using the Bun runtime for minimal latency in automated workflows.
SKILL.md
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