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Install in OpenClaw
/install trendradar
Description
Scan social media and communities to detect product trends rising or peaking, helping time purchases or avoid declining items.
Usage Guidance
This skill appears to do what it claims (browse public social/community pages and surface trending products) and does not ask for credentials or install software. Before installing, consider: 1) The skill uses the agent's browser tool to visit many third‑party sites — if that browser has access to your logged‑in sessions or cookies, the skill could see private content; run it in an isolated session or disable access to sensitive cookies if you are concerned. 2) Scraping may run afoul of site terms, trigger CAPTCHAs, or generate high traffic; use responsibly. 3) The skill calls other skills (BuyWise, CouponClaw) — review those skills separately before allowing automated chaining. 4) If you do not want the agent to autonomously browse or invoke other skills, restrict its permissions or require manual invocation.
Capability Analysis
Type: OpenClaw Skill
Name: trendradar
Version: 1.1.2
TrendRadar is a trend-monitoring skill designed to identify viral products across social platforms like Reddit, Weibo, and Xiaohongshu. The scripts (scan.js and daily-hot.js) function by generating structured instructions for the AI agent to use its built-in browser and search tools. The code includes basic input sanitization (encodeURIComponent) and follows the standard OpenClaw pattern for ecosystem integration by suggesting follow-up actions via related skills. No evidence of malicious intent, data exfiltration, or harmful prompt injection was found.
Capability Assessment
Purpose & Capability
Name/description, README, package.json, and the two scripts all describe and implement the same behavior: navigating public social/community pages, extracting trend signals, and feeding results into downstream shopping skills. No unrelated credentials, binaries, or install steps are requested.
Instruction Scope
SKILL.md and the scripts instruct the agent to use a browser tool and web_search to open specific external URLs (Xiaohongshu, Weibo, Reddit, Google Trends, Product Hunt, etc.) and extract trend metrics. That is within the declared purpose, but it means the agent will actively browse many third‑party pages and follow an open-ended extraction process (select top N items, apply heuristics). The instructions also call other skills (BuyWise, CouponClaw) via openclaw run. No instructions attempt to read unrelated local files or environment variables.
Install Mechanism
No install specification or third‑party downloads are present; package.json has no dependencies. The skill is instruction-driven with light JS helper scripts that print guidance. There is no code that fetches or executes remote archives.
Credentials
The skill declares no required env vars or credentials, which fits its 'no API keys' approach. However, it explicitly relies on the agent's browser tool to visit sites: if that browser tool has access to the user's authenticated sessions/cookies, the agent could see account‑restricted content. Also, results are intended to be fed to other skills (BuyWise/CouponClaw), so consider trust boundaries between skills even though no secrets are requested here.
Persistence & Privilege
The skill is not marked always:true, does not request persistent system changes, and includes no steps to modify other skills' configuration or store new credentials.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install trendradar - After installation, invoke the skill by name or use
/trendradar - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.1.2
- Updated package version to 1.1.2.
- No functional or documentation changes other than version bump.
v1.1.1
- Added README.md file for improved documentation and onboarding.
- Updated package.json with minor changes.
- No changes to core functionality.
v1.1.0
- Updated version to 1.1.0 in package.json.
- No other changes to code or documentation.
v1.0.1
- Removed the script and documentation for push-toggle.js (push subscription management).
- Updated instructions: scheduling daily trend push now uses direct cron jobs.
- SKILL.md revised to reflect script removal and new push setup approach.
- Minor script documentation clarifications for scan.js and daily-hot.js.
v1.0.0
TrendRadar 1.0.0
- Launches real-time trend detection across Xiaohongshu, Weibo, Reddit, Google Trends, and Product Hunt.
- Assigns actionable trend signals (surging, rising, stable, cooling) to spot products before they peak.
- Integrates seamlessly with BuyWise (for price analysis) and CouponClaw (for deals/coupons).
- Supports daily briefings and user subscription management via multiple channels.
- No API keys required; reads live data directly from platforms.
Metadata
Frequently Asked Questions
What is TrendRadar?
Scan social media and communities to detect product trends rising or peaking, helping time purchases or avoid declining items. It is an AI Agent Skill for Claude Code / OpenClaw, with 203 downloads so far.
How do I install TrendRadar?
Run "/install trendradar" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is TrendRadar free?
Yes, TrendRadar is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does TrendRadar support?
TrendRadar is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created TrendRadar?
It is built and maintained by jiajiaoy (@jiajiaoy); the current version is v1.1.2.
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