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Polymarket Macro Weather Commodity Trader
by
diagnostikon
· GitHub ↗
· v0.0.3
· MIT-0
181
Downloads
1
Stars
0
Active Installs
4
Versions
Install in OpenClaw
/install polymarket-macro-weather-commodity-trader
Description
Trades commodity markets based on extreme weather signals. When temperature markets show unusual readings (extreme heat or cold), it signals potential energy...
Usage Guidance
This skill appears to implement what it claims and needs just one trading API key (SIMMER_API_KEY). Before installing: (1) Confirm the metadata mismatch — ensure the package actually requires SIMMER_API_KEY and that the registry listing is corrected; (2) Verify the simmer-sdk package on PyPI/GitHub is the legitimate project you expect; (3) Inspect the rest of trader.py (the truncated portion) for any hard-coded endpoints or unexpected network calls; (4) ONLY provide SIMMER_API_KEY if you trust the Simmer provider and rotate the key after testing; (5) Test thoroughly in paper mode (the default) and keep --live disabled until you are confident. If you want higher assurance, ask the author to fix the manifest inconsistency and supply a provenance link (homepage/repo) before granting credentials.
Capability Analysis
Type: OpenClaw Skill
Name: polymarket-macro-weather-commodity-trader
Version: 0.0.3
The skill bundle is a legitimate trading bot designed to correlate weather prediction markets with commodity markets on Polymarket. It uses the 'simmer-sdk' to interact with markets and includes robust safety features, such as defaulting to paper trading (simulation mode) and requiring an explicit '--live' flag for real transactions. The code in 'trader.py' and instructions in 'SKILL.md' are transparent, well-documented, and lack any indicators of malicious intent, data exfiltration, or prompt injection.
Capability Tags
Capability Assessment
Purpose & Capability
The skill's name/description (weather-driven commodity trading) aligns with the included code and the Simmer SDK usage. Requesting a SIMMER_API_KEY for a trading SDK is proportionate. However, the registry metadata at the top of the package claims 'Required env vars: none' and 'Primary credential: none' while clawhub.json and SKILL.md both require SIMMER_API_KEY — this mismatch is unexpected and should be clarified.
Instruction Scope
SKILL.md and trader.py limit behavior to: scan Polymarket weather markets, compute stress signals, check commodity markets, and place trades via the Simmer SDK. The skill defaults to paper trading unless explicitly run with --live. Instructions do not ask the agent to read unrelated system files or exfiltrate data beyond using the trading SDK.
Install Mechanism
There is no custom download/install script or archive. The package declares a pip dependency (simmer-sdk) in clawhub.json which is a normal registry dependency. This is a typical install mechanism for a Python-based trading skill and not disproportionate to its purpose. You should still verify the simmer-sdk package identity/reputation.
Credentials
Only a single sensitive credential is required (SIMMER_API_KEY) which is appropriate for a trading client. The skill also reads a set of non-secret tunables via environment variables (SIMMER_MAX_POSITION, SIMMER_MIN_TRADE, etc.) which are expected. The inconsistency is that the top-level registry metadata reported no required env vars; that contradicts clawhub.json and trader.py and should be corrected before trusting the package.
Persistence & Privilege
autostart is false and always:true is not set. The package includes an automaton entrypoint (managed=true, entrypoint=trader.py) but defaults to paper mode and does not auto-run. This is a moderate privilege (it can be executed by the platform when invoked) but not excessive given the skill's purpose.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install polymarket-macro-weather-commodity-trader - After installation, invoke the skill by name or use
/polymarket-macro-weather-commodity-trader - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.0.3
SDK resilience: try/except runt apply_skill_config
v0.0.2
fix: add _client.live=True so --live actually routes to polymarket-venue for real USDC trades
v1.0.1
Fix apply_skill_config AttributeError for new Simmer SDK compatibility
v1.0.0
Weather-Commodity Trader skill v1.0.0 initial release:
- Connects extreme weather signals from prediction markets to commodity trading opportunities.
- Scans Polymarket temperature outcomes to detect potential energy or crop disruptions before they're priced into commodities.
- Maps city-specific weather extremes to relevant commodity market moves (energy, agriculture, hurricane risk).
- Filters and sizes trades based on probability thresholds, conviction, and risk parameters.
- Supports safe paper trading by default; live trading requires explicit activation.
- Highly extensible template—designed for custom weather data, crop indices, or grid forecasts.
Metadata
Frequently Asked Questions
What is Polymarket Macro Weather Commodity Trader?
Trades commodity markets based on extreme weather signals. When temperature markets show unusual readings (extreme heat or cold), it signals potential energy... It is an AI Agent Skill for Claude Code / OpenClaw, with 181 downloads so far.
How do I install Polymarket Macro Weather Commodity Trader?
Run "/install polymarket-macro-weather-commodity-trader" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Polymarket Macro Weather Commodity Trader free?
Yes, Polymarket Macro Weather Commodity Trader is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Polymarket Macro Weather Commodity Trader support?
Polymarket Macro Weather Commodity Trader is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Polymarket Macro Weather Commodity Trader?
It is built and maintained by diagnostikon (@diagnostikon); the current version is v0.0.3.
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