Sentinel Mood

Analyze the sentiment and emotional tone of text using NLTK and VADER. Use this to gauge user mood, detect urgency, or analyze content tone.

Audits

Pass

ClawScanPass

Agentic behavior and permission review.

Static analysisPass

Pattern checks against bundled files.

VirusTotalPass

Multi-engine malware detections and file reputation.

Install

openclaw skills install sentinel-mood

Sentinel Mood

A lightweight sentiment analysis skill powered by NLTK's VADER (Valence Aware Dictionary and sEntiment Reasoner). It is specifically tuned for social media texts, conversational language, and short updates.

Capabilities

Analyze Sentiment: Get positive, negative, neutral, and compound scores for any text.
Detect Tone: (Implicit) Infer tone based on polarity scores.

Usage

User: "Analyze the sentiment of this message: 'I love how this project is turning out, great job!'" Agent: [Runs skill] -> Returns sentiment scores (e.g., compound: 0.8, pos: 0.6).

Technical Details

This skill uses a Python script (analyze.py) that imports nltk.sentiment.SentimentIntensityAnalyzer.

Dependencies

Python 3
nltk library (pip install nltk)
vader_lexicon (downloaded via nltk.downloader)

Implementation

The skill executes a python script that takes text as an argument and outputs JSON.