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Sentiment Monitor
by
wubinghuang2019-source
· GitHub ↗
· v0.4.0
· MIT-0
60
Downloads
1
Stars
0
Active Installs
4
Versions
Install in OpenClaw
/install sentiment-monitor
Description
Public opinion monitoring and structured report generation. Collects publicly available web information about celebrities, TV shows, or brands, performs sent...
Usage Guidance
This skill is coherent and uses only built-in web search/fetch and file-write capabilities; it does not request credentials or install code. Before installing, confirm your platform provides the WebSearch and WebFetch tools the skill needs — otherwise it cannot operate. Understand that: (1) exact social-media metrics often require platform APIs or authenticated access and will frequently be reported as “Data Unavailable”; the skill explicitly forbids fabricating numbers; (2) the agent will fetch public internet content (network traffic) — verify this behavior is acceptable in your environment and that fetching abides by target sites' terms of service; (3) the optional deliver_attachments/preview_url features may cause the platform to transmit the generated HTML via its channels — review how your platform handles attachments and previews. If you want to limit scope, test with non-sensitive public targets and review the first generated report to confirm it behaves as you expect.
Capability Analysis
Type: OpenClaw Skill
Name: sentiment-monitor
Version: 0.4.0
The sentiment-monitor skill bundle provides a structured framework for an AI agent to perform public opinion analysis and generate HTML reports. It utilizes standard built-in tools (WebSearch, WebFetch, Write) for its stated purpose and includes explicit instructions to avoid data fabrication and respect privacy by only accessing public information. No evidence of malicious intent, data exfiltration, or harmful prompt injection was found in SKILL.md or _meta.json.
Capability Assessment
Purpose & Capability
Name/description match the runtime instructions: the skill collects public web content, runs sentiment analysis, and writes a self-contained HTML report. It explicitly depends on the platform's WebSearch/WebFetch/Write tools and requests no external credentials or installs, which is appropriate for the stated purpose.
Instruction Scope
SKILL.md stays within the stated scope: gather publicly available content, avoid fabricating metrics, and save reports locally. The document gives the agent some discretion (e.g., what counts as 'public' content and qualitative descriptions when numeric metrics are unavailable) — this is reasonable but grants operational judgment to the agent. The skill correctly notes that many precise social metrics may be unavailable via public fetch and instructs not to invent numbers.
Install Mechanism
Instruction-only skill with no install spec or code files — lowest-risk installation surface. Nothing is downloaded or written by an installer.
Credentials
No environment variables, credentials, or config paths are required. The skill's lack of secret/credential requests is proportionate to its stated function; it will simply be limited when platform APIs (that require keys) are necessary for exact metrics.
Persistence & Privilege
always:false and no special persistence or cross-skill config modifications. The skill runs only when invoked and does not request elevated platform privileges.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install sentiment-monitor - After installation, invoke the skill by name or use
/sentiment-monitor - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.4.0
Version 0.4.0 of sentiment-monitor updates documentation and clarifies platform data usage and reporting rules.
- Added explicit notes regarding the unavailability of precise platform metrics (view counts, follower numbers) from public web sources.
- Clarified that only publicly visible, explicitly displayed metrics should be reported; qualitative descriptions are preferred when numbers are unavailable.
- Provided an inline self-contained HTML report template, replacing the previous external template reference.
- Updated tool prerequisites and instructions for environments lacking required web access tools.
- Improved guidance for agents to prevent data fabrication and ensure strict adherence to public data sourcing.
v0.3.0
Version 0.3.0 – Major update: Documentation refactored and skill details clarified.
- Full SKILL.md rewritten in English with clearer structure and explicit workflow
- Added version and license fields to metadata
- Step-by-step workflow and data policy rewritten for international, non-Chinese audience
- Example trigger keywords and target entity types expanded and clarified
- Reporting requirements, HTML output details, and privacy policy made more explicit
v0.2.0
Version 0.2.0
- 增加数据来源与隐私声明,强调仅采集公开网络信息,用户数据安全更有保障
- 明确前置工具依赖和各工具作用,提升兼容性与环境适配说明
- 细化平台数据采集说明,明确仅采集可查到的数据,不得编造,报告文件如缺项需标注"数据暂缺"
- 精简并统一交付与呈现流程,对不可用预览/发送工具做出兜底处理
- 调整输出参数及格式规范,对报告生成工具、HTML样式规范和生成流程进行补充与说明
v0.1.0
Initial release of sentiment-monitor –舆情监控与报告生成技能
- 支持根据用户关键词自动触发舆情监测,适用于艺人、影视作品和品牌
- 集成多源信息采集:网页搜索、新闻聚合、社交媒体平台数据
- 实现舆情情感分析、热点事件梳理、平台表现与风险评估
- 自动生成结构化 HTML 舆情报告,内含KPI卡片、情感趋势、事件时间线和运营建议
- 支持报告实时预览、文件交付及可选PDF输出
- 确保数据来源公开且报告内容客观、中立
Metadata
Frequently Asked Questions
What is Sentiment Monitor?
Public opinion monitoring and structured report generation. Collects publicly available web information about celebrities, TV shows, or brands, performs sent... It is an AI Agent Skill for Claude Code / OpenClaw, with 60 downloads so far.
How do I install Sentiment Monitor?
Run "/install sentiment-monitor" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Sentiment Monitor free?
Yes, Sentiment Monitor is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Sentiment Monitor support?
Sentiment Monitor is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Sentiment Monitor?
It is built and maintained by wubinghuang2019-source (@wubinghuang2019-source); the current version is v0.4.0.
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