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Sentinel Mood
作者
splicer scorn
· GitHub ↗
· v1.0.0
375
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install sentinel-mood
功能描述
Analyze the sentiment and emotional tone of text using NLTK and VADER. Use this to gauge user mood, detect urgency, or analyze content tone.
安全使用建议
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 privacy risk is low if you run it locally; if your environment redirects network calls or telemetry, be aware the download will occur.
功能分析
Type: OpenClaw Skill
Name: sentinel-mood
Version: 1.0.0
The skill bundle is benign. The `analyze.py` script performs sentiment analysis using NLTK's VADER lexicon, downloading the lexicon if necessary via `nltk.download` (a legitimate dependency management step). Input is processed as text, with no shell injection risks. The `SKILL.md` documentation accurately describes the skill and contains no prompt injection attempts against the agent. All files align with the stated purpose and show no signs of malicious intent, data exfiltration, or unauthorized actions.
能力评估
Purpose & Capability
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.
Instruction Scope
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).
Install Mechanism
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.
Credentials
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.
Persistence & Privilege
Skill does not request persistent/privileged presence (always=false). It does not modify other skills or system configs and has no special privileges.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install sentinel-mood - 安装完成后，直接呼叫该 Skill 的名称或使用
/sentinel-mood触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
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.
元数据
常见问题
Sentinel Mood 是什么？
Analyze the sentiment and emotional tone of text using NLTK and VADER. Use this to gauge user mood, detect urgency, or analyze content tone. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 375 次。
如何安装 Sentinel Mood？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install sentinel-mood」即可一键安装，无需额外配置。
Sentinel Mood 是免费的吗？
是的，Sentinel Mood 完全免费（开源免费），可自由下载、安装和使用。
Sentinel Mood 支持哪些平台？
Sentinel Mood 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Sentinel Mood？
由 splicer scorn（@numbpill3d）开发并维护，当前版本 v1.0.0。
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