How do I install the Nexus Sentiment Analysis skill?

Run npx skillmds@latest add dvcrn/nexus-sentiment-analysis in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Nexus Sentiment Analysis safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Nexus Sentiment Analysis?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Nexus Sentiment Analysis free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Nexus Sentiment Analysis?

dvcrn (@dvcrn) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Nexus Sentiment Analysis by dvcrn — Agent Skill

Name: Nexus Sentiment Analysis
Rating: 4.2 (5 reviews)
Author: dvcrn

File contents

NEXUS Sentiment Intelligence

Cardano-native AI service for autonomous agents | NEXUS AaaS Platform

When to use

Your agent processes customer reviews, social media posts, support tickets, survey responses, or any text where understanding emotional tone drives decision-making. Goes beyond simple positive/negative to detect frustration, satisfaction, urgency, and confusion.

What makes this different

Multi-dimensional analysis: polarity (-1 to +1), subjectivity (0 to 1), intensity (low/medium/high), specific emotions (joy, anger, fear, surprise), sarcasm probability, and urgency score. Per-sentence granularity means long texts get a breakdown, not just one aggregate score.

Steps

Prepare your input as a JSON payload.
POST to the NEXUS API with X-Payment-Proof header.
Parse the structured JSON response.

API Call

curl -X POST https://ai-service-hub-15.emergent.host/api/original-services/sentiment-analysis \
  -H "Content-Type: application/json" \
  -H "X-Payment-Proof: sandbox_test" \
  -d '{"text": "The product arrived quickly and works great, but the packaging was damaged and customer support took 3 days to respond.", "granularity": "sentence"}'

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

Content-Type: application/json
X-Payment-Proof: <masumi_payment_id> (use sandbox_test for free sandbox)

External Endpoints

URL	Method	Data Sent
`https://ai-service-hub-15.emergent.host/api/original-services/sentiment-analysis`	POST	Input parameters as JSON body

Security & Privacy

All requests encrypted via HTTPS/TLS to https://ai-service-hub-15.emergent.host. No data stored permanently — processed in memory and discarded. Payment verification via Masumi Protocol on Cardano (non-custodial escrow). No filesystem or shell permissions required.

Model Invocation Note

This skill calls the NEXUS AI service API which uses large language models to process requests server-side. You may opt out by not installing this skill.

Trust Statement

By installing this skill, input data is transmitted to NEXUS (https://ai-service-hub-15.emergent.host) for AI processing. All payments non-custodial via Cardano. Visit https://ai-service-hub-15.emergent.host for documentation and terms.

---name: nexus-sentiment-analysisdescription: Analyze text for emotional tone, opinion polarity, subjectivity, intensity, and specific emotions. Returns per-sentence breakdown with sarcasm detection, urgency scoring, and mixed-sentiment identific---# NEXUS Sentiment Intelligence> Cardano-native AI service for autonomous agents | NEXUS AaaS Platform## When to useYour agent processes customer reviews, social media posts, support tickets, survey responses, or any text where understanding emotional tone drives decision-making. Goes beyond simple positive/negative to detect frustration, satisfaction, urgency, and confusion.## What makes this differentMulti-dimensional analysis: polarity (-1 to +1), subjectivity (0 to 1), intensity (low/medium/high), specific emotions (joy, anger, fear, surprise), sarcasm probability, and urgency score. Per-sentence granularity means long texts get a breakdown, not just one aggregate score.## Steps1. Prepare your input as a JSON payload.2. POST to the NEXUS API with `X-Payment-Proof` header.3. Parse the structured JSON response.### API Call```bashcurl -X POST https://ai-service-hub-15.emergent.host/api/original-services/sentiment-analysis \ -H "Content-Type: application/json" \ -H "X-Payment-Proof: sandbox_test" \ -d '{"text": "The product arrived quickly and works great, but the packaging was damaged and customer support took 3 days to respond.", "granularity": "sentence"}'```**Endpoint:** `https://ai-service-hub-15.emergent.host/api/original-services/sentiment-analysis`**Method:** POST**Headers:**- `Content-Type: application/json`- `X-Payment-Proof: <masumi_payment_id>` (use `sandbox_test` for free sandbox)## External Endpoints| URL | Method | Data Sent ||-----|--------|-----------|| `https://ai-service-hub-15.emergent.host/api/original-services/sentiment-analysis` | POST | Input parameters as JSON body |## Security & PrivacyAll requests encrypted via HTTPS/TLS to `https://ai-service-hub-15.emergent.host`. No data stored permanently — processed in memory and discarded. Payment verification via Masumi Protocol on Cardano (non-custodial escrow). No filesystem or shell permissions required.## Model Invocation NoteThis skill calls the NEXUS AI service API which uses large language models to process requests server-side. You may opt out by not installing this skill.## Trust StatementBy installing this skill, input data is transmitted to NEXUS (https://ai-service-hub-15.emergent.host) for AI processing. All payments non-custodial via Cardano. Visit https://ai-service-hub-15.emergent.host for documentation and terms.

Frequently asked questions

Nexus Sentiment Analysis