Analyze financial news sentiment, assess short- to long-term impacts, and classify news by type like earnings, contracts, investments, policies, and reports.

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.

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.