⚠️Install with caution. This skill has very few installs. Always review the source and verify it on clawhub.ai before installing. Community-built skills run with agent permissions — only install ones you trust.

📈 Analytics & BI

NEXUS Sentiment Analysisv1.1.0

Name: NEXUS Sentiment Analysis
Author: cyberforexblockchain

nexus-sentiment-analysis

cyberforexblockchain

Analyze emotional tone and detect opinions

data-analysisdata-viz

Download Package View on ClawHub

Installs (all time)

Installs (current)

Downloads

309

Stars

CreatedMar 14, 2026

UpdatedApr 9, 2026

Install & Quick Start

Install via ClawdBot CLI:

clawdbot install cyberforexblockchain/nexus-sentiment-analysis

Skill Package2 files

📋SKILL.mdmarkdown

Failed to load file.

Quality Score

B50/100

Grade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.

Market Validation1/35

· No tracked installs (may still have manual users)
· 77 downloads (minimal demand)

Documentation15/25

· SKILL.md present
· Detailed documentation (≥3000 chars)

Package Completeness9/15

· skillAssets present (1 files)
· Includes README/AGENTS doc

Security Analysis

💙 Low Risk

UNKNOWN_DATA_SINKhigh

Sends data to undocumented external endpoint (potential exfiltration)

POST → https://ai-service-hub-15.emergent.host/api/original-services/sentiment-analysis

UNDOCUMENTED_EXTERNALlow

Calls external URL not in known-safe list

https://ai-service-hub-15.emergent.host/api/original-services/sentiment-analysis

AI Analysis

The skill sends user text to an external API for sentiment analysis, which is consistent with its stated purpose. While the endpoint is not on a known-safe list, the connection uses HTTPS, the data flow is documented, and no hidden instructions or credential harvesting patterns are detected. The primary risk is data being processed by a third-party service.

Audited Apr 16, 2026 · audit v1.0

💡

Usage Guide

Generated Mar 21, 2026

Customer Support TeamsMarketing Analystsbeginner

💡 Application Scenarios

Customer Feedback AnalysisE-commerce and Retail

Analyze customer reviews and support tickets to identify frustration, satisfaction, and urgency. Helps prioritize issues and improve service quality by detecting mixed sentiments and sarcasm in feedback.

Social Media MonitoringMarketing and Social Media

Monitor social media posts for emotional tone and opinion polarity to gauge brand sentiment. Enables real-time response to negative trends and identifies positive engagement opportunities with per-sentence breakdowns.

Survey Response EvaluationResearch and Analytics

Process survey responses to assess emotional intensity and specific emotions like joy or fear. Provides detailed insights beyond simple scores, aiding in data-driven decision-making for product development.

Content Moderation SupportOnline Platforms and Communities

Analyze user-generated content for urgency scoring and sarcasm detection to flag potentially harmful or high-priority posts. Enhances moderation efficiency by identifying emotional cues in text.

💼 Business Models

API-as-a-ServiceUsage fees and subscriptions

Offer sentiment analysis as a paid API to businesses for integrating into their customer service or analytics tools. Revenue is generated through usage-based pricing tiers and subscription plans.

Consulting and InsightsProject fees and retainers

Provide customized reports and consulting services based on sentiment analysis of client data, such as market research or brand monitoring. Revenue comes from project-based fees and retainer agreements.

Platform IntegrationLicensing and partnerships

Integrate the skill into existing platforms like CRM or social media management tools as a premium feature. Revenue is generated through licensing fees or revenue-sharing partnerships with platform providers.

💬 Integration Tip

Ensure the NEXUS_PAYMENT_PROOF environment variable is set for authentication, and use the provided API endpoint with JSON payloads for seamless integration.