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 "$T/skills/bowen31337/fear-harvester" ~/.claude/skills/openclaw-skills-fear-harvester && rm -rf "$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 "$T/skills/bowen31337/fear-harvester" ~/.openclaw/skills/openclaw-skills-fear-harvester && rm -rf "$T"
manifest:
skills/bowen31337/fear-harvester/SKILL.mdsource content
FearHarvester Skill
Autonomous DCA agent for extreme fear markets.
Strategy
- Monitor Fear & Greed index continuously
- When F&G < 10 (Extreme Fear): DCA into BTC/ETH
- When F&G > 50 (Neutral/Greed recovery): rebalance into yield
- Removes human emotion from "buy the fear"
Usage
uv run python scripts/backtest.py --start 2018-01-01 --capital 10000 uv run python scripts/signals.py --live uv run python scripts/executor.py --dry-run
Historical edge (2018-2024)
Buying F&G < 10, holding 90d → 40-80% average return