Polymarket Social Trends Trader

Trades Polymarket prediction markets on social trend indicators: loneliness indices, mental health policy, drug legalization, and cultural inflection points....

Things to check before installing or providing credentials: - Confirm the SIMMER_API_KEY requirement: the registry summary omitted it but clawhub.json and trader.py require it. Ask the publisher to correct registry metadata. - Verify the simmer-sdk pip package: look it up on PyPI/GitHub, confirm the maintainer and code, and review SimmerClient docs to understand what the API key can do. Do not install unknown packages without vetting. - Provide only a minimally privileged or test API key first (paper/sim venue) and run in paper mode; the skill defaults to sim but verify that cron/automaton runs also default to paper. - Do not supply production/funding credentials until you audit the pip package and the full trader.py source. Consider running the code in an isolated environment and reviewing network calls made by simmer-sdk. - Ask the author for a homepage/source repo and to resolve the metadata inconsistency; if they cannot supply verifiable sources, treat the package as higher risk. - If you decide to enable live trading later, confirm autostart/scheduling settings, limit the API key scope, and monitor initial runs closely.

Type: OpenClaw Skill Name: polymarket-social-trends-trader Version: 0.0.3 The skill is a legitimate trading bot designed to execute trades on Polymarket based on social trend indicators and legislative calendars. The code in `trader.py` implements a transparent strategy using the `simmer-sdk` and includes safety features such as a default paper-trading mode (venue='sim') and risk-management tunables defined in `clawhub.json`. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found; the logic is entirely consistent with the stated purpose of the skill.