Polymarket Macro Sentiment Divergence Trader

Detects macro sentiment divergence across Polymarket prediction markets. When positive-sentiment categories (sports winners, tech milestones, entertainment,...

This skill appears to do what it says (paper trading by default, live only with --live) and only requests a single trading credential (SIMMER_API_KEY). Before installing or running with real funds: 1) Verify the simmer-sdk package on PyPI and its upstream GitHub repository to ensure it's the legitimate library you expect. 2) Correct/confirm the metadata discrepancy (the registry header you were shown said no required env vars, but clawhub.json and SKILL.md require SIMMER_API_KEY). 3) Keep the API key secret and test thoroughly in paper mode; review trader.py yourself or with a trusted reviewer for any hidden network calls or unexpected behaviors (the provided file appears benign but was truncated in your dump). 4) Confirm the versioning (clawhub.json says version 0.0.2 while the registry lists 0.0.3) and prefer published releases from known authors. If you plan live trading, do a careful code audit and start with minimal capital.

Type: OpenClaw Skill Name: polymarket-macro-sentiment-divergence-trader Version: 0.0.3 The skill implements a legitimate trading strategy for Polymarket based on macro sentiment divergence. The code in `trader.py` uses the `simmer-sdk` to analyze market probabilities and execute trades, featuring a 'safe by default' paper-trading mode unless explicitly toggled. No evidence of data exfiltration, credential theft, or malicious prompt injection was found in the documentation or logic.