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Polymarket Micro Weather Sniper Trader
by
diagnostikon
· GitHub ↗
· v0.0.2
· MIT-0
132
Downloads
0
Stars
0
Active Installs
3
Versions
Install in OpenClaw
/install polymarket-micro-weather-sniper-trader
Description
Trades Polymarket weather temperature markets using NOAA and Open-Meteo forecasts as an information edge. Buys YES on bins matching the forecast at discount...
Usage Guidance
This skill generally does what it says: it fetches public weather forecasts and uses the Simmer SDK to place micro trades. Before installing or giving it a SIMMER_API_KEY: 1) Confirm the platform's manifest (registry) vs. the included files — the top-level registry incorrectly lists no required env/install; trust the included clawhub.json and SKILL.md which require SIMMER_API_KEY and simmer-sdk. 2) Inspect or vet the simmer-sdk PyPI package and its GitHub repo (author, releases, checksums) before pip installing. 3) Run the skill in paper mode (default) and review logs/placed simulated orders to validate behavior. 4) Only enable live trading (--live) after testing and after understanding the exact permissions of SIMMER_API_KEY; consider using a restricted/trading-only API key and set conservative tunables. 5) Because the code makes external HTTP calls, verify no hidden endpoints are present in the remaining (truncated) portions of trader.py and review the repository history if available. If you need higher assurance, ask the publisher for a signed release or audit of simmer-sdk and the full trader.py source.
Capability Analysis
Type: OpenClaw Skill
Name: polymarket-micro-weather-sniper-trader
Version: 0.0.2
The skill is a legitimate automated trading bot designed to trade weather-related prediction markets on Polymarket. The logic in `trader.py` fetches weather forecasts from reputable public APIs (NOAA, Open-Meteo, and wttr.in) and compares them against market prices to execute micro-trades via the `simmer-sdk`. It includes safety features such as a default paper-trading mode and configurable risk parameters in `clawhub.json`. No evidence of data exfiltration, malicious execution, or prompt injection was found.
Capability Tags
Capability Assessment
Purpose & Capability
The skill's code and SKILL.md match the stated purpose: it discovers Polymarket weather markets, fetches forecasts, and places micro trades via the Simmer SDK. Requesting an API key named SIMMER_API_KEY is proportionate for trading. However, the registry summary at the top incorrectly lists 'Required env vars: none' and 'No install spec' while clawhub.json and SKILL.md declare SIMMER_API_KEY and a pip dependency (simmer-sdk). This manifest mismatch is a coherence issue (likely sloppy packaging) that should be resolved.
Instruction Scope
Runtime instructions and the trader.py code limit actions to: market discovery via SimmerClient, HTTP calls to NOAA / Open-Meteo / wttr.in for forecasts, parsing questions, and placing/toggling trades. The instructions do not instruct the agent to read unrelated files or exfiltrate system data. Network calls are to expected public weather APIs and the Simmer API.
Install Mechanism
No arbitrary download or extractor is used. The dependency is a PyPI package (simmer-sdk), which is expected for a trading SDK and is a moderate but traceable risk. Again, SKILL.md and clawhub.json declare pip:simmer-sdk even though the top-level 'No install spec' statement contradicts this — confirm how the platform will install dependencies and verify the simmer-sdk package origin and integrity on PyPI/GitHub before installing.
Credentials
The skill requests a single high-value credential, SIMMER_API_KEY, which is necessary and proportionate for placing trades. The code will use that key to create a SimmerClient and may execute live trades when invoked with --live. Ensure you understand the privileges granted by SIMMER_API_KEY (ability to place/cancel trades, withdraw funds, etc.) and that no other secrets are required. The manifest inconsistency (registry claiming no env required) is confusing and should be clarified.
Persistence & Privilege
The skill is not always-enabled (always:false), autostart/cron are false/null, and it does not request system-wide configuration changes. The skill does call _client.apply_skill_config(SKILL_SLUG) if available, which is limited to applying its own config. Autonomous model invocation is allowed by default but not, by itself, a red flag — however, combining autonomous invocation with live-trading capability means you should restrict or test runs in paper mode first.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install polymarket-micro-weather-sniper-trader - After installation, invoke the skill by name or use
/polymarket-micro-weather-sniper-trader - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.0.2
fix: add _client.live=True so --live actually routes to polymarket-venue for real USDC trades
v1.0.1
Raise YES_THRESHOLD to 0.40, add Buenos Aires/Tokyo/Lucknow/Jakarta/Sao Paulo, add wttr.in as tertiary weather source
v1.0.0
Initial release — NOAA + Open-Meteo forecast edge on Polymarket weather bins
Metadata
Frequently Asked Questions
What is Polymarket Micro Weather Sniper Trader?
Trades Polymarket weather temperature markets using NOAA and Open-Meteo forecasts as an information edge. Buys YES on bins matching the forecast at discount... It is an AI Agent Skill for Claude Code / OpenClaw, with 132 downloads so far.
How do I install Polymarket Micro Weather Sniper Trader?
Run "/install polymarket-micro-weather-sniper-trader" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Polymarket Micro Weather Sniper Trader free?
Yes, Polymarket Micro Weather Sniper Trader is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Polymarket Micro Weather Sniper Trader support?
Polymarket Micro Weather Sniper Trader is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Polymarket Micro Weather Sniper Trader?
It is built and maintained by diagnostikon (@diagnostikon); the current version is v0.0.2.
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