Smart Money Trader

Trade Polymarket markets where PolyClawster whale signals are active. Fetches smart money signals (score 0-10) and buys YES/NO on Polymarket when whales are...

Security Scan

The skill mostly does what it says (fetch PolyClawster signals and trade via Simmer), but there are internal inconsistencies (mismatched environment variable names) and some deployment details to verify before giving it trading credentials.

Purpose & Capability

Name/description, code, and requirements align: the skill fetches signals from polyclawster.com and uses a Simmer SDK client to import markets and place trades on Polymarket. Declared pip deps (simmer-sdk, python-dotenv) are consistent with code imports.

Instruction Scope

Runtime instructions are narrow and consistent with the stated purpose (fetch → match → trade). The code only reads a local .env and environment variables, contacts polyclawster.com and (via SimmerClient) the trading venue, and does not access unrelated files or external endpoints. However, the SKILL.md and clawhub.json document env vars named SIMMER_SMARTMONEY_MIN_SCORE / SIMMER_SMARTMONEY_MAX_POSITION while smart_money_signal.py actually reads SMART_MONEY_MIN_SCORE and SMART_MONEY_API_URL — this mismatch can make tunables ineffective and is an incoherence to fix.

Install Mechanism

Registry shows no formal install script but clawhub.json lists pip packages (simmer-sdk, python-dotenv). Installing pip packages is expected for this skill but is a moderate-risk install mechanism (third-party PyPI packages). No downloads from unknown URLs or archive extraction were observed.

Credentials

The main required secret is SIMMER_API_KEY, which is proportional to a trading skill. Concern: multiple environment variable names are used inconsistently across SKILL.md, clawhub.json, and code (e.g., SIMMER_SMARTMONEY_MIN_SCORE vs SMART_MONEY_MIN_SCORE, SMART_MONEY_API_URL not documented). This mismatch risks unexpected behavior and could lead to running live trades with unintended parameters if users assume the documented tunables are applied. No unrelated credentials are requested.

Persistence & Privilege

always:false and autostart:false. clawhub.json marks automaton.managed true with an entrypoint, but autostart is false so the skill will not run automatically unless enabled. The skill does not attempt to modify other skills or global config.

What to consider before installing

This skill appears to implement the advertised behavior (fetch PolyClawster signals and trade via Simmer) but there are important things to check before installing or providing credentials: - Env var name mismatches: The code expects SMART_MONEY_MIN_SCORE and SMART_MONEY_API_URL, while the documentation and clawhub tunables use SIMMER_SMARTMONEY_MIN_SCORE / SIMMER_SMARTMONEY_MAX_POSITION. Set both variants or update the code so tunables actually control the behavior; otherwise you may not get the signal thresholds you expect. - Trading credential risk: SIMMER_API_KEY allows the skill to place real trades. Test in paper mode first (set TRADING_VENUE=sim and run without --live) and confirm dry-run behavior. Do not provide the live API key until you have audited and tested. - Dependency risk: The skill requires simmer-sdk from PyPI. Verify the SimmerClient implementation (source, version) and consider installing dependencies in an isolated environment. - Run review steps: 1) Run python smart_money_signal.py --json to inspect fetched signals; 2) Run python smartmoney_trader.py (dry run) to see what would be traded; 3) Review clawhub.json tunables and decide whether to correct env var names; 4) Consider running in a sandbox/container until you trust it. - If you are not comfortable with code changes, ask the publisher to fix the env var naming mismatch and to provide a homepage/source repo for provenance. The current inconsistencies are likely sloppy engineering rather than malicious, but they materially affect safety when giving trading API credentials.

Polymarket Smart Money Trader

Follow whale and high-conviction trader signals on Polymarket via PolyClawster API.

What It Does

1. Fetches active whale/trader signals from PolyClawster API (polyclawster.com/api/signals)
2. Matches signals to live Polymarket markets via Simmer SDK
3. Trades YES/NO based on signal direction and conviction score

Quick Start

# Dry run (show opportunities, no trades)
python smartmoney_trader.py

# Live trading on Polymarket
python smartmoney_trader.py --live

# Only high-confidence signals (score 8+)
python smartmoney_trader.py --min-score 8

# Show current positions
python smartmoney_trader.py --status

Signal Score

Score	Conviction	Position Size Multiplier
7-8	Medium	70-80% of max position
8-9	High	80-90% of max position
9-10	Very High	90-100% of max position

Max position per trade: $SIMMER_SMARTMONEY_MAX_POSITION (default: $10)

Environment Variables

Variable	Default	Description
SIMMER_API_KEY	required	From https://simmer.markets/dashboard
TRADING_VENUE	polymarket	polymarket for real USDC, sim for $SIM
SIMMER_SMARTMONEY_MIN_SCORE	7	Minimum signal score to trade
SIMMER_SMARTMONEY_MAX_POSITION	10.0	Max position size in USD

Architecture

smart-money-trader/
├── smartmoney_trader.py   # Main entrypoint (scan → match → trade)
├── smart_money_signal.py  # PolyClawster API client + signal normalization
└── clawhub.json           # ClawHub + Automaton config

Risk Controls

• Signal threshold: Only trades scores ≥ min_score (default 7)
• Position sizing: Scales with conviction score (1.0x - 1.0x of max)
• Venue guardrails: TRADING_VENUE=sim for virtual, omit --live for paper
• Circuit breaker: 3 consecutive losses → pause (via Simmer SDK)