Sentiment Analysis

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.

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.

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.

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.

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).