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Analyze crypto news sentiment (bullish/bearish). Scan Twitter, news sites, and social media. Get sentiment scores and trading signals.

通信与消息

作者:eddie @alexbrc20

许可证:MIT-0

MIT-0 ·免费使用、修改和重新分发。无需归因。

版本:v1.0.2

统计:⭐ 0 · 466 · 7 current installs · 7 all-time installs

0

安装量(当前) 7

🛡 VirusTotal :良性 · OpenClaw :可疑

Package:alexbrc20/news-sentiment

安全扫描(ClawHub)

  • VirusTotal :良性
  • OpenClaw :可疑

OpenClaw 评估

The skill mostly matches a crypto-news sentiment tool, but there are several inconsistencies and undeclared credential requirements that make its intentions and resource needs unclear — review before installing or providing keys.

目的

The skill claims to scan Twitter, news sites, and social media, but the included code only implements a Twitter search + LLM sentiment call; README/SKILL.md mention other sources (news RSS, Reddit) that are not implemented. The registry metadata declares only DASHSCOPE_API_KEY as required, yet the code uses a TWITTER_TOKEN environment variable as well. The declared required binary 'curl' is listed but never used in the shipped Python code. The…

说明范围

Runtime behavior (sentiment_analyzer.py) performs network calls to third-party endpoints (ai.6551.io for Twitter search and dashscope.aliyuncs.com for LLM analysis) and will send tweet/news text to the remote LLM service. SKILL.md/README mention these sources but do not declare that user data will be transmitted to these specific domains or explain privacy implications. The instructions and metadata fail to fully enumerate all required env var…

安装机制

No install spec is provided (instruction-only install), so nothing arbitrary is downloaded at install time. The only shipped code is a Python script which will run on the host; no archive downloads or remote installers are used.

证书

The registry requires only DASHSCOPE_API_KEY, but the code also requires TWITTER_TOKEN to query the ai.6551.io Twitter proxy — this secret is referenced in README but not declared in requires.env. The skill therefore underdeclares secrets it needs. The endpoints are third-party (including a non-official Twitter proxy domain), so providing these credentials would grant access to external services not fully described in metadata.

持久

The skill does not request always:true, does not modify other skills or system configuration, and has no install-time persistence mechanism. Autonomous invocation is allowed (platform default) but not combined with other high privileges.

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「News Sentiment」。简介:Analyze crypto news sentiment (bullish/bearish). Scan Twitter, news sites, and …。
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/alexbrc20/news-sentiment/SKILL.md
(来源:yingzhi8.cn 技能库)

SKILL.md

打开原始 SKILL.md(GitHub raw)

---
name: news-sentiment
version: 1.0.0
description: |
  Analyze crypto news sentiment (bullish/bearish).
  Scan Twitter, news sites, and social media.
  Get sentiment scores and trading signals.
metadata:
  openclaw:
    emoji: 📰
    requires:
      env:
        - DASHSCOPE_API_KEY
      bins:
        - python3
        - curl
  pricing:
    type: freemium
    free:
      description: "每日 10 次查询,基础情绪分析"
      limits:
        dailyQueries: 10
    pro:
      price: 1.99
      currency: USD
      period: monthly
      description: "无限查询,实时推送,API 访问"
      features:
        - "无限查询"
        - "实时推送告警"
        - "多币种对比"
        - "历史情绪图表"
        - "API 访问权限"
        - "定制阈值告警"
---

# 📰 News Sentiment Analyzer - 新闻情绪分析

Analyze crypto news and social media sentiment for trading signals.

## Features

- 📊 Sentiment scoring (bullish/bearish/neutral)
- 🔍 Multi-source analysis (Twitter, news, Reddit)
- 📈 Trading signal generation
- 🎯 Coin-specific sentiment
- ⚡ Real-time updates

## Usage

```bash
# Analyze sentiment for a coin
/news-sentiment analyze BTC

# Get market sentiment
/news-sentiment market

# Set alerts
/news-sentiment alert --threshold 0.7
```

## Sentiment Scale

- **0.7 - 1.0**: Very Bullish 🚀
- **0.3 - 0.7**: Neutral ➡️
- **0.0 - 0.3**: Very Bearish 📉

## API Sources

- Twitter API (6551.io)
- News APIs
- LLM analysis (Dashscope)