Analyzes sentiment from social media, news headlines, and financial text. Outputs positive/negative/neutral scores with confidence levels and key phrase extr...

This skill is a small, local Python script that uses simple keyword matching to produce sentiment scores. It does not call the network or request credentials, so from a security standpoint it is low-risk to run locally. Consider these points before installing: (1) Accuracy: keyword-based sentiment is brittle and may misclassify nuanced text; do not rely on it for financial decisions. (2) Privacy: if you pass a file, the script will read that file locally — avoid passing sensitive files unless you trust the code and environment. (3) Inspectability: the full source is included and short — review it if you want to confirm behavior. If you need production-grade sentiment analysis or scaled processing, prefer a vetted library or API with clear data-handling policies.

Type: OpenClaw Skill Name: betasentiment Version: 1.0.0 The skill is a straightforward sentiment analysis tool that uses keyword matching to evaluate financial and social media text. The Python script (analyze.py) relies solely on standard libraries, performs local processing without network or shell access, and the documentation (SKILL.md) contains no suspicious instructions or prompt injection attempts.