Detects key claims in long messages and summarizes the real point. Uses NLP to find what someone is actually saying vs. what they want you to believe.

This skill appears safe and coherent: it runs a local Python script that analyzes text using simple heuristics and prints results. It does not contact the network or request credentials. Two practical notes: (1) The implementation is basic — phrases and regexes, not advanced NLP — so results are approximate and may miss nuance. (2) Do not pass highly sensitive secrets or files you wouldn't want printed to stdout, because the script reads and echoes input-derived summaries. If you need stronger NLP/sentiment accuracy, look for a skill that explicitly depends on an NLP library or model.

Type: OpenClaw Skill Name: bs-detector Version: 1.0.0 The skill is a straightforward text analysis tool designed to identify buzzwords and summarize messages. The Python script (detect.py) uses basic string matching and regex to calculate 'fluff' density and lacks any network access, suspicious file operations, or execution vulnerabilities.