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Install in OpenClaw
/install aigc-news-sentiment
Description
Analyze financial news sentiment, assess short- to long-term impacts, and classify news by type like earnings, contracts, investments, policies, and reports.
README (SKILL.md)
News Sentiment - 新闻情感分析
功能说明
分析财经新闻、公告、研报的情感倾向和影响评估。
核心功能
新闻情感
- 利好/利空判断
- 情感强度评分
- 新闻重要性评级
事件影响
- 短期影响评估
- 中期趋势判断
- 长期价值影响
新闻分类
- 业绩预告
- 重大合同
- 投资扩产
- 政策影响
- 行业研报
使用示例
from news_sentiment import analyze_news_sentiment
# 分析新闻情感
news_result = analyze_news_sentiment(stock_code="300308")
数据源
- 财联社快讯
- 交易所公告
- 券商研报
Usage Guidance
This skill appears to be a lightweight stub rather than a full implementation. Before installing or enabling it: 1) Be aware it currently returns simulated data and does not fetch real news. 2) Verify the missing export (impact_assessment) and decide whether you need a complete implementation. 3) If you expect the skill to fetch news, confirm how and where network requests will be made and whether any credentials or rate limits apply. 4) Because skill.json lists Python packages that are not installed automatically, expect the agent or platform to install them on demand — review that behavior or run the skill in a sandbox first. 5) If you plan to use scraped sources (e.g., 财联社), confirm licensing/terms of service and that you are comfortable granting network access. If you want higher assurance, ask the author for a full implementation or more details about how external data will be accessed and which packages will be installed.
Capability Analysis
Type: OpenClaw Skill
Name: aigc-news-sentiment
Version: 1.0.0
The skill bundle is a placeholder for financial news sentiment analysis. The core logic in news_sentiment.py returns static mock data and lacks any network calls, file system access, or sensitive data handling. No evidence of malicious intent, obfuscation, or prompt injection was found in the documentation or code.
Capability Assessment
Purpose & Capability
Name, description, and SKILL.md describe a news-sentiment analyzer that scrapes financial news and runs NLP; the included code provides only a small, local stub that returns simulated results. Declared dependencies (akshare, pandas, requests) are reasonable for the stated purpose but are not used by the shipped code. skill.json exports include 'impact_assessment' which is not implemented. These mismatches suggest the package is incomplete or poorly maintained.
Instruction Scope
SKILL.md shows a simple usage example calling analyze_news_sentiment and notes that a real implementation would require web scraping and NLP. The instructions do not ask the agent to read unrelated files or env vars, nor to exfiltrate data. However, SKILL.md's mention of external data sources implies network access would be required in a real implementation — the current code does not perform that access.
Install Mechanism
There is no install spec (instruction-only style), which minimizes immediate risk. However, skill.json lists external Python dependencies that are not automatically installed here; this can lead to runtime errors or prompt an agent/platform to install packages on demand. No download URLs or extraction steps are present.
Credentials
The skill requests no environment variables, credentials, or config paths. For the declared purpose (public news scraping), that's plausible. If the skill were extended to use paid APIs or private feeds, additional credentials would be expected but are not currently present.
Persistence & Privilege
The skill does not request always:true and uses default invocation behavior. It does not modify other skills' configs and does not declare any persistent system-level privileges.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install aigc-news-sentiment - After installation, invoke the skill by name or use
/aigc-news-sentiment - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release - News sentiment analysis for financial markets
Metadata
Frequently Asked Questions
What is AI News Sentiment?
Analyze financial news sentiment, assess short- to long-term impacts, and classify news by type like earnings, contracts, investments, policies, and reports. It is an AI Agent Skill for Claude Code / OpenClaw, with 294 downloads so far.
How do I install AI News Sentiment?
Run "/install aigc-news-sentiment" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is AI News Sentiment free?
Yes, AI News Sentiment is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does AI News Sentiment support?
AI News Sentiment is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created AI News Sentiment?
It is built and maintained by GBABYZS (@gbabyzs); the current version is v1.0.0.
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