strikeradar

What This Skill Does

StrikeRadar is a specialized OpenClaw AI agent skill designed to monitor and assess the probability of military escalations between the US and Iran. By leveraging a multi-modal data approach, the agent tracks eight distinct indicators: real-time news alerts, Iran's internet connectivity status, global oil price volatility, commercial and military flight patterns, refueling tanker activity, regional weather conditions, Polymarket prediction odds, and Pentagon facility activity levels. The skill provides an algorithmic risk score that aggregates these signals, offering users a high-level view of current geopolitical tensions. It serves as an automated analyst, wrapping data from StrikeRadar to deliver immediate situational awareness without requiring manual deep-dives across disparate platforms.

Installation

To integrate StrikeRadar into your OpenClaw environment, ensure you have the OpenClaw CLI installed and configured. Run the following command in your terminal to fetch the skill from the official repository:

clawhub install openclaw/skills/skills/alexpolonsky/strikeradar

Once installed, the skill can be invoked directly through the CLI or accessed by the AI agent when triggered by relevant user queries. No external API keys or configuration files are required for basic functionality, as it operates by querying live open-source data streams directly through the provided scripts.

Use Cases

StrikeRadar is intended for users, researchers, or analysts who require rapid insight into potential flashpoints in the Middle East. It is particularly useful for:

• Monitoring sudden spikes in regional tension via real-time alert aggregators.
• Understanding the impact of international incidents on energy markets (oil prices).
• Tracking military-adjacent activity such as refueling tanker deployments or unusual flight patterns over Iranian airspace.
• Gauging public sentiment and predictive forecasting via decentralized platforms like Polymarket.
• Evaluating the feasibility of operations based on weather and infrastructure conditions.

Example Prompts

1. "What is the current probability of a US strike on Iran according to the latest data?"
2. "Check the current tanker and flight activity near Iran; is there anything unusual happening?"
3. "Summarize the risk level for the Iran situation based on oil, news, and Pentagon indicators."

Tips & Limitations

It is critical to understand that StrikeRadar provides algorithmic estimates, not official intelligence assessments. The risk scores generated by this skill are derived from public data and should never be used to make financial, safety, or personal life-altering decisions. The accuracy of the composite risk score depends entirely on the availability and reliability of the underlying open-source data sources. Users should interpret the findings as a pulse-check of market and media activity rather than a prediction of state military action. Always cross-reference high-risk findings with reputable journalistic and government sources.