Skill flagged — suspicious patterns detected

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rend-spotter

v1.0.0

Track social media trending topics and viral content across platforms in real-time

0· 111·0 current·0 all-time
byhuajianjiu@huajianjiu000

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Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "rend-spotter" (huajianjiu000/rend-spotter) from ClawHub.
Skill page: https://clawhub.ai/huajianjiu000/rend-spotter
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

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openclaw skills install huajianjiu000/rend-spotter

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npx clawhub@latest install rend-spotter
Security Scan
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Purpose & Capability
The skill claims to monitor trends across major social platforms in real time, but there are no declared env vars, credentials, binaries, or install steps to access platform APIs (Twitter/X, Reddit, YouTube, etc.). That omission is inconsistent with the stated capability. Also the registry name/slug 'rend-spotter' differs from SKILL.md's 'trend-spotter', which suggests sloppy packaging or an authoring error.
!
Instruction Scope
SKILL.md contains only high‑level usage guidance (initialize tracking, set focus areas, analyze, generate reports) and no concrete runtime instructions, endpoints, or data sources. The instructions are vague and grant broad discretion to the agent without constraints, which could lead the agent to attempt arbitrary web access or request user credentials.
Install Mechanism
Instruction-only skill with no install spec and no code files — lowest install risk. Nothing is written to disk by the skill package itself.
Credentials
No environment variables or credentials are declared. That is unexpected for a cross‑platform social media tracker (which normally requires API keys/tokens). The absence could indicate the skill expects the agent to prompt for credentials at runtime or to use unauthenticated scraping — both are noteworthy but not proof of malice.
Persistence & Privilege
The skill does not request always:true and is user‑invocable only; it does not declare any config path changes or modifications to other skills. No elevated persistence or privileged presence is requested.
What to consider before installing
This skill is vague and internally inconsistent: it promises real‑time, cross‑platform monitoring but provides no mechanism to fetch data (no API endpoints, no credential requirements, no install). Before installing or using it, ask the author for: (1) which data sources/APIs it uses, (2) whether it requires API keys or OAuth and exactly which tokens, (3) a privacy policy for any user data it accesses, and (4) a concrete runtime plan (e.g., which endpoints it will call or whether it will scrape public pages). Avoid pasting account tokens into chat; prefer explicit, minimal-scope credentials (read‑only API keys) and test the skill in a sandboxed environment. The name mismatch ('rend-spotter' vs 'trend-spotter') is a red flag worth confirming with the publisher.

Like a lobster shell, security has layers — review code before you run it.

latestvk97b7mk3q36fecfndg84dkzjj9856af6
111downloads
0stars
1versions
Updated 1w ago
v1.0.0
MIT-0

Trend Spotter

Description

Trend Spotter is your AI-powered trend tracking assistant that monitors and analyzes social media trending topics across multiple platforms. Stay ahead of the curve by identifying emerging trends, viral content patterns, and audience interests before they peak.

Features

  • Real-time Monitoring: Track trends across major social platforms
  • Trend Analysis: Identify pattern shifts and emerging topics
  • Content Opportunities: Discover content gaps and opportunities
  • Platform Comparison: Compare trend performance across platforms
  • Timing Insights: Optimal posting times based on trend activity

How to Use

  1. Initialize Tracking

    Load this skill and specify the platforms you want to monitor
    
  2. Set Your Focus Areas

    • Define industry categories
    • Set target audience demographics
    • Choose relevant keywords and hashtags
  3. Analyze Trends

    • Run trend analysis for specific topics
    • Compare trends across time periods
    • Identify seasonal patterns
  4. Generate Reports

    • Create trend reports with visualizations
    • Export data for further analysis
    • Schedule automated trend updates

Example

Input: "Track trending topics in the AI technology space for the past week"

Output:

# Trend Spotter Report: AI Technology

## 🔥 Top Trending Topics (Last 7 Days)

1. **ChatGPT Updates** - Volume: 125K+ posts
   - Peak Day: Wednesday
   - Sentiment: 78% Positive

2. **AI Image Generation** - Volume: 98K+ posts
   - Peak Day: Monday
   - Sentiment: 65% Positive

3. **Open Source AI Models** - Volume: 76K+ posts
   - Peak Day: Thursday
   - Sentiment: 82% Positive

## 📈 Rising Trends (Watch List)

- AI Video Tools (↑ 45% growth)
- Voice Cloning (↑ 38% growth)
- AI Coding Assistants (↑ 32% growth)

## 💡 Content Opportunities

- "Beginner's Guide to AI Image Generation" - Low competition
- "Open Source vs Paid AI Models Comparison" - High engagement potential

## ⏰ Optimal Posting Times

- Twitter/X: 9 AM - 11 AM EST
- LinkedIn: 8 AM - 10 AM EST
- Reddit: 6 PM - 9 PM EST

Tips

  • Check trends daily during active campaigns
  • Set up alerts for industry-specific keywords
  • Compare your content performance against trending topics
  • Use trend data to plan content calendars 2-4 weeks in advance

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