Tencent SkillHub · AI

strikeradar

Monitor US-Iran strike probability using open-source indicators - news alerts, Iran internet connectivity, oil prices, flight traffic, military tanker detect...

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High Signal

Monitor US-Iran strike probability using open-source indicators - news alerts, Iran internet connectivity, oil prices, flight traffic, military tanker detect...

⬇ 0 downloads ★ 0 stars Unverified but indexed

Install for OpenClaw

Quick setup

Download the package from Yavira.
Extract the archive and review SKILL.md first.
Import or place the package into your OpenClaw setup.

Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: README.md, SKILL.md, package.json, scripts/strikeradar.ts

Validation

Use the Yavira download entry.
Review SKILL.md after the package is downloaded.
Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

Download the package from Yavira.
Extract it into a folder your agent can access.
Paste one of the prompts below and point your agent at the extracted folder.

New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.

Open Send to Agent page Open JSON manifest Open Markdown brief

Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.0

Provenance

Publisher: alexpolonsky
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 7 sections Open source page

StrikeRadar - US-Iran strike probability monitor

Real-time risk scores across 8 signal categories, aggregated into a composite strike probability. Risk scores are algorithmic estimates from publicly available data, not intelligence assessments. Do not use for personal, financial, or safety decisions. Wraps StrikeRadar by Yonatan Back.

Quick Start

No dependencies needed. Run directly: npx tsx {baseDir}/scripts/strikeradar.ts status

Commands

CommandDescriptionstatusAll 8 signals with risk scores and total risksignal <name>Deep dive into one signal with raw datapulseLive viewer count and activity by country

Status

npx tsx {baseDir}/scripts/strikeradar.ts status Returns: total_risk (0-100%), per-signal risk + detail, last_updated.

Signal deep-dive

npx tsx {baseDir}/scripts/strikeradar.ts signal <name> Valid signals: news, connectivity, energy, flight, tanker, weather, polymarket, pentagon What each signal tracks: news - article alerts from BBC/Al Jazeera, alert_count, total_count connectivity - Iran internet status via Cloudflare Radar energy - Brent crude price, volatility, market status flight - aircraft count near Iran, key airline presence tanker - military refueling tanker detection, callsigns weather - conditions over Iran (visibility matters for strikes) polymarket - betting market odds for US strike pentagon - building activity level and patterns

Pulse

npx tsx {baseDir}/scripts/strikeradar.ts pulse Returns: watching_now, activity_level, surge multiplier, country breakdown.

Agent Usage

All commands return JSON with next_actions when output is piped: npx tsx {baseDir}/scripts/strikeradar.ts status | cat

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

2 Docs1 Scripts1 Config

SKILL.md Primary doc
README.md Docs
scripts/strikeradar.ts Scripts
package.json Config