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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...

开发与 DevOps

作者:pollo @arespollo

许可证:MIT-0

MIT-0 ·免费使用、修改和重新分发。无需归因。

版本:v1.0.0

统计:⭐ 0 · 536 · 5 current installs · 6 all-time installs

0

安装量(当前) 6

🛡 VirusTotal :可疑 · OpenClaw :可疑

Package:arespollo/grok-research

安全扫描(ClawHub)

  • VirusTotal :可疑
  • OpenClaw :可疑

OpenClaw 评估

The skill mostly does what it says (forwards queries to a Grok-like API) but has a few inconsistencies and provenance/installation gaps you should understand before installing — and it will forward user text to an external service.

目的

The skill's code and SKILL.md align with the stated purpose: it forwards user queries to a remote Grok API and returns the model output. However the description claims 'real-time X/Twitter knowledge' (an external capability of the Grok service) but the skill itself does not access X/Twitter — it only proxies to the ai.a9.bot endpoint. This claim therefore depends entirely on the remote service, not on the skill. Also the top-of-file comment re…

说明范围

SKILL.md instructs the agent to forward the user's message 'as-is' to the Grok API and the code does exactly that. That means any prompt-injection content in user input will be forwarded to the external API — the marketing claim 'no prompt injection' is misleading: the skill avoids adding prompts, but does not sanitize or block injected content. The SKILL.md also suggests running the script with bun, but the declared required binaries list is …

安装机制

There is no explicit install spec (instruction-only), which reduces risk, but the script requires the 'bun' runtime (shebang and usage examples). The registry metadata lists no required binaries — that is an inconsistency and may lead to runtime surprises. No external downloads or archives are used.

证书

Only a single API credential (A9_GROK_API_KEY) is required, which is proportionate to the stated purpose. Caveat: the source owner and homepage are unknown and the destination host (https://ai.a9.bot) is not documented in registry metadata; supplying your API key will send user queries to that third-party endpoint.

持久

The skill does not request persistent installation privileges (always:false), does not modify other skills or system settings, and contains no install hooks. It runs as a simple proxy CLI when invoked.

安装(复制给龙虾 AI)

将下方整段复制到龙虾中文库对话中,由龙虾按 SKILL.md 完成安装。

请把本段交给龙虾中文库(龙虾 AI)执行:为本机安装 OpenClaw 技能「Grok Research」。简介:Crypto research via Grok model's real-time X/Twitter knowledge. Forwards the us…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装:https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/arespollo/grok-research/SKILL.md
(来源:yingzhi8.cn 技能库)

SKILL.md

打开原始 SKILL.md(GitHub raw)

---
name: grok-research
description: >
  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.
---

# 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)