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天气套利助手
by
ffffff9331
· GitHub ↗
· v3.0.0
403
Downloads
0
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0
Active Installs
4
Versions
Install in OpenClaw
/install weather-arbitrage
Description
天气预测市场套利助手 v3.0 - NOAA信息差套利 + 温度预测双模式。真实战绩:91%胜率,月收益$38,700。联邦科学 vs 零售猜测,无需预测,纯套利。
Usage Guidance
What to check before installing or running: 1) Inspect scripts/skillpay.js and any omitted files for hardcoded endpoints, API keys, or code that sends data to third-party servers — the provided package uses chargeUser() and may redirect to payment URLs. 2) Confirm there is no code that will place real trades or require/exfiltrate exchange credentials — the visible code only generates signals and simulations, so treat claims of live trading performance as unverified marketing. 3) Run the skill in a sandboxed environment and monitor outbound network requests (especially to unknown domains) before providing real funds. 4) If you plan to use any paid features, verify the payment flow and merchant identity; avoid entering sensitive credentials until reviewed. 5) Ask the author for source provenance, a homepage, and an explanation of where live trade execution occurs (if any). If you want a higher-confidence security assessment, provide the full contents of the omitted files (including scripts/skillpay.js) so they can be reviewed for hidden endpoints or credential handling.
Capability Analysis
Type: OpenClaw Skill
Name: weather-arbitrage
Version: 3.0.0
The skill bundle exhibits characteristics of a financial scam or deceptive 'get-rich-quick' scheme, claiming unrealistic monthly profits ($38,700) and win rates (91%) in SKILL.md and arbitrage.js. While the code lacks explicit evidence of data exfiltration or system backdoors, the core 'arbitrage' logic in noaa-arbitrage.js is partially mocked using Math.random() for market prices, suggesting the tool does not function as advertised. Furthermore, the skill implements a mandatory billing system via skillpay.js with a hardcoded API key to charge users for executing commands, posing a high financial risk to users who might be misled by the deceptive performance claims.
Capability Assessment
Purpose & Capability
The skill claims automated, high-return live trading (91% win rate, large monthly profit) but the visible code generates signals and simulations and does not show any market-order placement or account credential handling for executing trades. Claiming live trading performance while shipping only scanners/simulators is an incoherence that could be misleading to non-technical users.
Instruction Scope
SKILL.md instructs running node scripts which the code implements. The runtime code performs network calls to public APIs (NOAA, Polymarket, Kalshi) and uses setInterval for continuous scanning. It does not prompt to read unrelated host files or environment variables, but it calls chargeUser() (skillpay) which may contact external payment endpoints — that module's behavior was not provided in full in the supplied text and could change risk.
Install Mechanism
No install spec; package.json lists only a runtime dependency (node-fetch). There are no downloads from unknown hosts or archive extraction steps. Running requires Node and network access.
Credentials
Declared requirements list no environment variables or credentials, which fits the code that only reads SKILLPAY_DEV. However the presence of a 'skillpay' payment/charging module suggests external payment flows; lack of declared credentials for payment processors or exchange APIs is notable and should be inspected (payment may be handled via returned URLs or third-party pages).
Persistence & Privilege
Skill does not request always:true and contains no code that modifies other skills or global agent configuration. It sets local intervals for continuous scanning when run, which is expected for a monitoring tool.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install weather-arbitrage - After installation, invoke the skill by name or use
/weather-arbitrage - Provide required inputs per the skill's parameter spec and get structured output
Version History
v3.0.0
v3.0 - NOAA套利模式(91%胜率),真实战绩,700/月,信息差套利无需预测
v2.1.0
v2.1 - 优化参数(边缘20%/单注/总投),500次模拟验证ROI 14%
v2.0.0
v2.0 - 多平台+多气象源+回测+模拟
v1.0.0
首个版本 - 天气预报对比市场赔率,自动计算温度阶梯下注策略
Metadata
Frequently Asked Questions
What is 天气套利助手?
天气预测市场套利助手 v3.0 - NOAA信息差套利 + 温度预测双模式。真实战绩:91%胜率,月收益$38,700。联邦科学 vs 零售猜测,无需预测,纯套利。 It is an AI Agent Skill for Claude Code / OpenClaw, with 403 downloads so far.
How do I install 天气套利助手?
Run "/install weather-arbitrage" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 天气套利助手 free?
Yes, 天气套利助手 is completely free (open-source). You can download, install and use it at no cost.
Which platforms does 天气套利助手 support?
天气套利助手 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 天气套利助手?
It is built and maintained by ffffff9331 (@ffffff9331); the current version is v3.0.0.
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