Sentinel Mood

核心功能为分析文本情感，输出正、负、中性及复合情感得分，可间接推断语气。典型场景包括判断用户情绪、检测内容紧急度、分析社交或对话类文本语气。输入为待分析文本，输出结构化JSON格式的得分数据，依赖Python环境及NLTK库。

numbpill3d

热度 57.16

最近更新 2026-05-11 17:27:36

分类：数据依赖：代码执行应用场景：数据处理

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add sentinel-mood

Metadata

name: sentinel-mood
description: Analyze the sentiment and emotional tone of text using NLTK and VADER. Use this to gauge user mood, detect urgency, or analyze content tone.
metadata: {"openclaw":{"emoji":"🎭","requires":{"python_packages":["nltk"]}}}

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.