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Install in OpenClaw
/install gbabyzs-sentiment-analysis
Description
Analyze social media sentiment related to stocks, providing sentiment scores, trend changes, discussion heat, and bot detection.
README (SKILL.md)
Sentiment Analysis - 情绪分析工具
功能说明
分析股票相关社交媒体情绪，包括股吧、雪球评论。
核心功能
情绪指标
- 情绪指数 (0-100)
- 看涨/看跌比例
- 情绪趋势变化
热度分析
- 讨论热度
- 关注度变化
- 舆情传播路径
水军识别
- 异常评论检测
- 机器人账号识别
- 真实情绪过滤
使用示例
from sentiment_analysis import analyze_stock_sentiment
# 分析情绪
sentiment = analyze_stock_sentiment(stock_code="300308")
安装依赖
pip install akshare pandas numpy jieba snownlp
Usage Guidance
This package appears to be a stub: it documents crawling stock-discussion sites and bot-detection but the shipped code only returns simulated results and misses an exported function listed in skill.json. Before installing or using it, ask the author for a complete implementation or an explicit statement that this is a prototype. If you still want to run it, do not rely on its outputs for decisions (especially trading). Be cautious about running the pip installs in a production environment — consider using a sandbox or virtual environment, inspect third-party packages (e.g., akshare) yourself, and verify any network activity if/when the real scraping code is provided.
Capability Analysis
Type: OpenClaw Skill
Name: gbabyzs-sentiment-analysis
Version: 1.0.0
The skill bundle is a placeholder for a stock sentiment analysis tool. The code in sentiment_analysis.py currently returns mock data using numpy and does not perform any actual web scraping or sensitive data access. There are no signs of malicious intent, data exfiltration, or prompt injection in SKILL.md or the Python logic.
Capability Assessment
Purpose & Capability
The skill claims crawling股吧/雪球 comments, sentiment scoring, trend analysis, and bot detection, and lists dependencies (akshare, jieba, snownlp) appropriate for that purpose. However, the main Python file contains only a placeholder analyze_stock_sentiment that returns simulated random values and does not perform any scraping, NLP, or bot detection. The skill.json also claims to export calculate_sentiment_index which is not implemented. These inconsistencies mean the package does not actually deliver the stated capabilities.
Instruction Scope
SKILL.md describes the intended functionality and shows a usage example, and instructs the user to pip install akshare, pandas, numpy, jieba, snownlp. It does not direct the agent to read unrelated system files or credentials. However, the docs promise crawling and analysis while the code is a stub — the runtime instructions therefore over-promise relative to the actual implementation.
Install Mechanism
There is no install spec; this is instruction-only and asks users to pip install standard Python packages. That is a common pattern. There are no downloads from arbitrary URLs or archive extraction steps in the package itself.
Credentials
The skill requests no environment variables, credentials, or config paths. The declared dependencies are plausible for a sentiment analysis tool; no unrelated secrets are requested.
Persistence & Privilege
The skill does not request elevated persistence ('always' is false) and does not modify other skills or system-wide agent settings. It remains user-invocable and can be invoked autonomously per platform defaults (no additional privilege requested).
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install gbabyzs-sentiment-analysis - After installation, invoke the skill by name or use
/gbabyzs-sentiment-analysis - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: 股吧/雪球评论情感分析工具
Metadata
Frequently Asked Questions
What is Sentiment Analysis?
Analyze social media sentiment related to stocks, providing sentiment scores, trend changes, discussion heat, and bot detection. It is an AI Agent Skill for Claude Code / OpenClaw, with 371 downloads so far.
How do I install Sentiment Analysis?
Run "/install gbabyzs-sentiment-analysis" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Sentiment Analysis free?
Yes, Sentiment Analysis is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Sentiment Analysis support?
Sentiment Analysis is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Sentiment Analysis?
It is built and maintained by GBABYZS (@gbabyzs); the current version is v1.0.0.
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