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在 OpenClaw 中安装
/install news-sentiment
功能描述
Analyze crypto news sentiment (bullish/bearish). Scan Twitter, news sites, and social media. Get sentiment scores and trading signals.
使用说明 (SKILL.md)
📰 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
# 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)
安全使用建议
Before installing or supplying API keys: (1) Note the skill will send tweet/news text to two external services (ai.6551.io and dashscope.aliyuncs.com); confirm you trust those domains. (2) The package omissions are concerning — TWITTER_TOKEN is required by the code but not declared in registry metadata. Only provide keys that are scoped and easily revoked. (3) Prefer testing in an isolated environment or container, and inspect/modify the Python script if you want to limit what is sent externally (for example, remove or sanitize PII). (4) If you need the 'news sites' or 'Reddit' features, ask the author for a complete, up-to-date implementation and clear documentation of required credentials and endpoints. (5) If you remain unsure, avoid providing real API tokens and run with mock/test tokens first.
功能分析
Type: OpenClaw Skill
Name: news-sentiment
Version: 1.0.2
The news-sentiment skill is a functional tool designed to analyze cryptocurrency market sentiment by fetching data from a Twitter search API (ai.6551.io) and processing it via the Alibaba Dashscope LLM. The Python script (sentiment_analyzer.py) uses standard libraries for network requests and handles API keys through environment variables as expected. No evidence of data exfiltration, malicious command execution, or prompt injection was found; the code logic is transparent and aligns with the stated purpose in SKILL.md and README.md.
能力评估
Purpose & Capability
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. These mismatches suggest sloppy packaging or missing declarations.
Instruction Scope
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 vars (TWITTER_TOKEN is used but not listed), expanding the actual scope of data sent off-host.
Install Mechanism
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.
Credentials
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.
Persistence & Privilege
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.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install news-sentiment - 安装完成后，直接呼叫该 Skill 的名称或使用
/news-sentiment触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.2
- Reduced Pro plan monthly price from $14.99 to $1.99.
- No other changes.
v1.0.1
- Added a new freemium pricing section to the documentation.
- Described daily free query limits and updated premium (pro) plan features and details.
v1.0.0
Initial release of News Sentiment Analyzer:
- Analyze crypto news and social media (Twitter, news, Reddit) sentiment.
- Provide bullish, bearish, and neutral sentiment scores.
- Generate trading signals and coin-specific sentiment analysis.
- Support for real-time updates and custom alerts.
- Utilizes APIs and LLM analysis for sentiment scoring.
元数据
常见问题
News Sentiment 是什么？
Analyze crypto news sentiment (bullish/bearish). Scan Twitter, news sites, and social media. Get sentiment scores and trading signals. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 961 次。
如何安装 News Sentiment？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install news-sentiment」即可一键安装，无需额外配置。
News Sentiment 是免费的吗？
是的，News Sentiment 完全免费（开源免费），可自由下载、安装和使用。
News Sentiment 支持哪些平台？
News Sentiment 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 News Sentiment？
由 eddie（@alexbrc20）开发并维护，当前版本 v1.0.2。
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