ClawHub

Polymarket 24h Equity Strike Trader

v1.0.1

Trades structural mispricings in equity/stock price-threshold markets by reconstructing the implied probability curve across strike levels for the same compa...

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by@diagnostikon
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
Capability signals
Crypto
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Benign
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high confidence
✓
Purpose & Capability
Name/description match the code and SKILL.md: the skill discovers Polymarket strike/threshold markets, reconstructs implied probability curves, ranks violations, and (optionally) executes trades. The only required secret is SIMMER_API_KEY and the declared pip dependency is a Simmer SDK that matches the described integration.
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Instruction Scope
SKILL.md and trader.py focus on market discovery, parsing questions, curve construction, scoring violations, and trading. They do not instruct reading unrelated system files, scanning user data, or exfiltrating secrets beyond the Simmer API key. The skill defaults to simulation mode and requires an explicit --live flag for real trades.
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Install Mechanism
This is an instruction+code skill; clawhub.json requests installation of 'simmer-sdk' via pip. Using a PyPI package is an expected, moderate-risk install mechanism — users should vet the simmer-sdk package/source before granting trading credentials.
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Credentials
Only SIMMER_API_KEY is required (declared in clawhub.json and referenced by trader.py). Tunables are exposed via env vars but are reasonable for a trading bot. No unrelated secrets or config paths are requested.
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Persistence & Privilege
autostart: false and cron: null; always is not set. The automaton entrypoint is trader.py (expected for a managed trading skill). The skill does not request permanent 'always' privilege or cross-skill/system configuration changes.
Assessment
This skill appears internally consistent for automated trading on Polymarket via the Simmer SDK. Before installing: (1) review the simmer-sdk PyPI/GitHub package to ensure you trust that third-party code, (2) create and use a limited-scope SIMMER_API_KEY (and keep live/sim keys separate), (3) run in paper/sim mode first to verify behavior, and (4) only enable --live after confirming safeguards (position limits, min-trade, thresholds) are set to acceptable values. Note: trader.py reads SIMMER_API_KEY from the environment and will contact the Simmer/Polymarket endpoints via the SDK; if you need further assurance, review the full simmer-sdk source or run the skill in a network-isolated environment first.

Like a lobster shell, security has layers — review code before you run it.

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License

MIT-0
Free to use, modify, and redistribute. No attribution required.
Termshttps://spdx.org/licenses/MIT-0.html

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