Skills bs-detector
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.
install
source · Clone the upstream repo
git clone https://github.com/openclaw/skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/1477009639zw-blip/betabsdet" ~/.claude/skills/openclaw-skills-bs-detector && rm -rf "$T"
OpenClaw · Install into ~/.openclaw/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/1477009639zw-blip/betabsdet" ~/.openclaw/skills/openclaw-skills-bs-detector && rm -rf "$T"
manifest:
skills/1477009639zw-blip/betabsdet/SKILL.mdsource content
BS Detector — Find the Real Point
Detects claims, identifies fluff, and extracts the actionable truth from long messages.
Usage
python3 detect.py --input message.txt python3 detect.py --text "Your long slack message here..."
Features
- Claim extraction from long text
- Fluff detection (filler, buzzwords, corporate speak)
- Core point summarization
- Sentiment analysis
- Key numbers and facts highlighted
Example
Input: Long corporate email Output: "Core message: Deadline is Friday. Key ask: Approval by EOD Thursday."