grok-research
Crypto research via Grok model's real-time X/Twitter knowledge. Forwards the user's query as-is to Grok API — no prompt injection, no context bloat. Use when: (1) user asks to research a token's narrative/story/sentiment, (2) user says "调研", "research", "grok research", "查一下叙事", "帮我看看这个币", (3) user wants to know what CT is saying about a token/project. NOT for: price analysis, on-chain data, or trading execution.
Best use case
grok-research is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Crypto research via Grok model's real-time X/Twitter knowledge. Forwards the user's query as-is to Grok API — no prompt injection, no context bloat. Use when: (1) user asks to research a token's narrative/story/sentiment, (2) user says "调研", "research", "grok research", "查一下叙事", "帮我看看这个币", (3) user wants to know what CT is saying about a token/project. NOT for: price analysis, on-chain data, or trading execution.
Teams using grok-research should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/grok-research/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How grok-research Compares
| Feature / Agent | grok-research | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Crypto research via Grok model's real-time X/Twitter knowledge. Forwards the user's query as-is to Grok API — no prompt injection, no context bloat. Use when: (1) user asks to research a token's narrative/story/sentiment, (2) user says "调研", "research", "grok research", "查一下叙事", "帮我看看这个币", (3) user wants to know what CT is saying about a token/project. NOT for: price analysis, on-chain data, or trading execution.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Grok Research Forward user's research query directly to Grok API. No extra prompts — what the user says is exactly what Grok receives. ## Config Env var `A9_GROK_API_KEY` required. API base URL: `https://ai.a9.bot/v1` (hardcoded). ## Usage ```bash cd ~/.openclaw/workspace/skills/grok-research bun run grok-research.ts <query> bun run grok-research.ts --model grok-4.20-beta <query> ``` Default model: `grok-4.20-beta`. Another model: `--model grok-4.1-thinking`. ## How to Call Pass the user's original message as the query. Do not add system prompts or templates — forward as-is. Example: user says "调研一下代币叙事 $buttcoin Cm6fNnMk..." → `bun run grok-research.ts "调研一下代币叙事 $buttcoin Cm6fNnMk..."` ## Output - stdout: Grok's response (forward to user) - stderr: status/errors - Format for Discord before sending (no markdown tables)
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