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Sentinel Mood — 技能工具

v1.0.0

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

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by @numbpill3d (splicer scorn)·MIT-0
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License
MIT-0
最后更新
2026/2/27
安全扫描
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无害
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OpenClaw
安全
high confidence
The skill's code and instructions match its stated sentiment-analysis purpose and request no unusual credentials or access; minor operational notes about runtime NLTK data download and a small metadata mismatch are the only issues.
评估建议
This skill appears coherent and implements what it claims: a local VADER sentiment analyzer. Before installing, ensure the runtime environment provides Python 3 and the nltk package (SKILL.md lists these but the registry metadata did not list required binaries). Note that on first run the script will download the NLTK vader_lexicon from NLTK's servers (network access) — this is expected and required for analysis. The script does not access credentials or send data to external endpoints, so priva...
详细分析 ▾
✓ 用途与能力
Name/description (sentiment analysis with NLTK/VADER) align with the included analyze.py and SKILL.md. The script implements VADER scoring and outputs JSON as advertised.
✓ 指令范围
SKILL.md instructs running the Python script with text input; analyze.py accepts text args, computes polarity scores, and prints JSON. The only additional action is an on-demand download of NLTK's vader_lexicon if missing (needed for functionality).
ℹ 安装机制
No install spec (instruction-only) which is low-risk. The runtime will call nltk.download to fetch vader_lexicon over the network if absent — expected for NLTK use. Minor oddity: package.json (Node-style) exists though the implementation is Python; this is not harmful but slightly inconsistent.
✓ 凭证需求
The skill requests no environment variables or credentials. It does require Python and the nltk package (declared in SKILL.md), which is proportionate to a local sentiment analyzer.
✓ 持久化与权限
Skill does not request persistent/privileged presence (always=false). It does not modify other skills or system configs and has no special privileges.
安全有层次，运行前请审查代码。

License

MIT-0

可自由使用、修改和再分发，无需署名。

运行时依赖

无特殊依赖

版本

latestv1.0.02026/2/27

Sentinel Mood v1.0.0 initial release: - Introduces sentiment and emotional tone analysis using NLTK's VADER. - Provides positive, negative, neutral, and compound sentiment scores for any input text. - Tailored for conversational or social media language and short-form content. - Simple usage: Input text, receive sentiment scores as JSON. - Requires Python 3, nltk library, and vader_lexicon.

● 无害

安装命令 点击复制

官方npx clawhub@latest install sentinel-mood
镜像加速npx clawhub@latest install sentinel-mood --registry https://cn.clawhub-mirror.com

技能文档

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.

数据来源：ClawHub ↗ · 中文优化：龙虾技能库
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