Sentiment Monitor

Public opinion monitoring and structured report generation. Collects publicly available web information about celebrities, TV shows, or brands, performs sentiment analysis, and generates responsive HTML reports. Trigger keywords: sentiment, public opinion, reputation, monitoring report. Examples: "monitor reputation of X", "public opinion analysis for X".

wubinghuang2019-source@wubinghuang2019-source

Install

openclaw skills install @wubinghuang2019-source/sentiment-monitor

Public Opinion Monitoring & Report Generation

This skill provides a structured methodology for monitoring and analyzing public sentiment about public-facing entities (celebrities, entertainment products, brands) using publicly available web information.

Purpose & Scope

Input: A target entity name and optional time range
Output: A self-contained HTML report with sentiment analysis, event timeline, and actionable recommendations
Data sources: Public web pages, news articles, social media (public content only)
Output format: HTML file with embedded CSS (no external dependencies)

Prerequisites

This skill requires the AI assistant platform to provide the following built-in tools:

Tool	Role	Required
WebSearch	Retrieve public web information	Yes
WebFetch	Read detailed web page content	Yes
Write	Save the generated HTML report	Yes
preview_url	Display the HTML report preview	Optional
deliver_attachments	Deliver the report file to the user	Optional

Note: If the platform does not provide WebSearch or WebFetch, this skill cannot function. In that case, inform the user that the required web access tools are not available.

This skill has zero external dependencies. It does not install packages, execute scripts, access system files, or communicate with external servers.

Privacy & Data Policy

All data comes from publicly accessible web sources only
No private data, personal information, or non-public content is accessed
Aggregate statistics (e.g., view counts, play counts) are only collected when explicitly displayed on public pages
Missing data is labeled as "Data Unavailable" in reports — no data is fabricated or estimated
Reports are saved to the user's local workspace; no data leaves the local environment

Data Availability Caveats

Important context for agents:

The skill instructs gathering platform metrics (social media trending, view counts, engagement data). In practice, most specific numerical metrics (e.g., exact view counts, follower numbers) are only accessible through platform-specific APIs and are typically not available via public web search or page fetching.

The agent should:

Only report metrics that are explicitly visible in the web search results or fetched page content

Never estimate, extrapolate, or fabricate numerical data

Use qualitative descriptions (e.g., "high activity", "significant engagement") when exact numbers are unavailable

Label any unavailable data as "Data Unavailable"

Trigger Conditions

This skill activates when user requests include keywords related to:

Public opinion, sentiment, reputation monitoring
Celebrity or brand image analysis
Media coverage or buzz tracking

Supported Monitoring Targets

Entertainment figures: Actors, musicians, influencers
Media products: TV series, films, variety shows
Brands and products: Consumer brands, product launches

Workflow

Phase 1: Parameter Identification

Extract from the user request:

Parameter	Default	Description
Target	User-specified	Name of the entity to monitor
Time range	Last 30 days	Customizable by user
Output format	HTML	Only HTML format is supported
Focus areas	All dimensions	Fan data, reputation events, platform activity, risk alerts

Phase 2: Public Information Gathering

The AI assistant gathers information from publicly accessible web sources across these dimensions:

Basic data (3-5 searches recommended):

Recent news coverage
Trending topics and hot searches
Public reviews and discussions
Fan community activity
Cross-platform discussion volume

Event identification:

Positive events: product releases, awards, charity work
Negative events: controversies, criticism, backlash
For each event: timestamp, platform, sentiment direction

Important: Only data obtainable through public web searches should be used. If specific numerical data is unavailable, the report should indicate "Data Unavailable".

Phase 3: Analysis

3.1 Sentiment Classification Categorize the overall public opinion into:

Positive proportion (favorable coverage, support, enthusiasm)
Neutral proportion (objective reporting, general discussion)
Negative proportion (criticism, controversy, backlash)

3.2 Event Timeline Organize major events chronologically (minimum 5 events), including:

Event name and description
Timestamp
Sentiment direction (positive / neutral / negative)
Impact level (high / medium / low)

3.3 Risk Assessment Identify current or potential reputation risks:

Active negative sentiment trends
Sensitive topics that may escalate
Competitive disadvantages

Phase 4: Report Generation

Generate a complete, self-contained HTML report using the template structure below. The template is provided inline — no external file dependencies are required.

File naming: {target_name}{days}day_sentiment_report_{YYYYMMDD}.html

Report sections:

Header — Title, monitoring period, generation date
KPI Overview — Overall sentiment score (0-100), positive/neutral/negative ratios, event count, active platforms
Sentiment Distribution — Visual bar chart and trend description
Event Timeline — Chronological list with sentiment and impact tags
Platform Performance — Cross-platform activity comparison
Risk Assessment Matrix — Current risks with severity and recommendations
Operational Recommendations — Short-term (1-2 weeks), mid-term (1 month), long-term (3+ months)
Disclaimer — Data source clarification

Phase 5: Delivery

Save the HTML report using the Write tool
Display the report preview using preview_url (if available)
Deliver the file using deliver_attachments (if available)
If tools are unavailable, provide the file path for manual access

Guidelines

All data must originate from public web sources — fabrication is strictly prohibited
Unavailable data must be clearly marked as "Data Unavailable"
Time ranges are calculated automatically based on the current date
Sentiment analysis should be evidence-based, avoiding subjective assumptions
Reports should maintain objectivity, presenting multiple viewpoints for controversial events
Sensitive political content should be avoided in reports

Report Template

Use the following HTML structure as the report template. All CSS is embedded inline — no external stylesheets, fonts, or scripts are required. Replace {PLACEHOLDER} tokens with actual data.

html

<!DOCTYPE html>
<html lang="zh-CN">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>{TITLE}</title>
    <style>
        * { margin: 0; padding: 0; box-sizing: border-box; }
        body {
            font-family: -apple-system, "PingFang SC", "Microsoft YaHei", sans-serif;
            background: #f5f7fa; color: #1a1a2e; line-height: 1.6; padding: 20px;
        }
        .report {
            max-width: 900px; margin: 0 auto; background: #fff;
            border-radius: 12px; box-shadow: 0 2px 20px rgba(0,0,0,0.08); overflow: hidden;
        }
        .report-header {
            background: linear-gradient(135deg, #1a1a2e, #16213e); color: #fff;
            padding: 40px 30px; text-align: center;
        }
        .report-header h1 { font-size: 28px; margin-bottom: 12px; }
        .report-header .meta { font-size: 14px; opacity: 0.8; }
        .report-header .meta span { margin: 0 12px; }
        .kpi-section { padding: 30px; }
        .kpi-grid {
            display: grid; grid-template-columns: repeat(auto-fit, minmax(180px, 1fr));
            gap: 16px; margin-bottom: 24px;
        }
        .kpi-card {
            background: linear-gradient(135deg, #f8f9fa, #e9ecef); border-radius: 10px;
            padding: 20px; text-align: center; border-left: 4px solid #0f3460;
        }
        .kpi-card .value { font-size: 32px; font-weight: 700; color: #0f3460; }
        .kpi-card .label { font-size: 13px; color: #666; margin-top: 6px; }
        .kpi-card.positive { border-left-color: #27ae60; }
        .kpi-card.positive .value { color: #27ae60; }
        .kpi-card.negative { border-left-color: #e74c3c; }
        .kpi-card.negative .value { color: #e74c3c; }
        .kpi-card.neutral { border-left-color: #f39c12; }
        .kpi-card.neutral .value { color: #f39c12; }
        .section { padding: 0 30px 30px; }
        .section-title {
            font-size: 20px; font-weight: 600; color: #1a1a2e; margin-bottom: 20px;
            padding-bottom: 10px; border-bottom: 2px solid #e9ecef;
            display: flex; align-items: center; gap: 10px;
        }
        .section-title .icon { font-size: 22px; }
        .sentiment-bar {
            display: flex; height: 36px; border-radius: 8px; overflow: hidden; margin-bottom: 16px;
        }
        .sentiment-bar .positive { background: #27ae60; }
        .sentiment-bar .neutral { background: #f39c12; }
        .sentiment-bar .negative { background: #e74c3c; }
        .sentiment-legend { display: flex; gap: 24px; font-size: 14px; color: #555; }
        .sentiment-legend span { display: flex; align-items: center; gap: 6px; }
        .sentiment-legend .dot {
            width: 12px; height: 12px; border-radius: 50%; display: inline-block;
        }
        .timeline { position: relative; padding-left: 30px; }
        .timeline::before {
            content: ''; position: absolute; left: 8px; top: 0; bottom: 0;
            width: 2px; background: #e0e0e0;
        }
        .timeline-item { position: relative; margin-bottom: 24px; }
        .timeline-item::before {
            content: ''; position: absolute; left: -26px; top: 6px;
            width: 12px; height: 12px; border-radius: 50%;
            background: #0f3460; border: 2px solid #fff; box-shadow: 0 0 0 2px #0f3460;
        }
        .timeline-item.positive::before { background: #27ae60; box-shadow: 0 0 0 2px #27ae60; }
        .timeline-item.negative::before { background: #e74c3c; box-shadow: 0 0 0 2px #e74c3c; }
        .timeline-item .date { font-size: 13px; color: #999; margin-bottom: 4px; }
        .timeline-item .title { font-size: 16px; font-weight: 600; margin-bottom: 6px; }
        .timeline-item .desc { font-size: 14px; color: #555; }
        .timeline-item .tag {
            display: inline-block; font-size: 12px; padding: 2px 8px;
            border-radius: 4px; margin-top: 6px; color: #fff;
        }
        .tag.positive { background: #27ae60; }
        .tag.neutral { background: #f39c12; }
        .tag.negative { background: #e74c3c; }
        .tag.impact-high { background: #8e44ad; }
        .tag.impact-mid { background: #2980b9; }
        .tag.impact-low { background: #95a5a6; }
        .risk-table { width: 100%; border-collapse: collapse; font-size: 14px; }
        .risk-table th {
            background: #1a1a2e; color: #fff; padding: 12px 16px; text-align: left;
        }
        .risk-table td { padding: 12px 16px; border-bottom: 1px solid #eee; }
        .risk-table tr:hover { background: #f8f9fa; }
        .risk-badge {
            display: inline-block; padding: 2px 10px; border-radius: 12px;
            font-size: 12px; font-weight: 600; color: #fff;
        }
        .risk-badge.high { background: #e74c3c; }
        .risk-badge.mid { background: #f39c12; }
        .risk-badge.low { background: #27ae60; }
        .advice-block { margin-bottom: 20px; }
        .advice-block h4 {
            font-size: 16px; color: #0f3460; margin-bottom: 10px;
            padding-left: 12px; border-left: 3px solid #0f3460;
        }
        .advice-block ul { list-style: none; padding: 0; }
        .advice-block ul li {
            padding: 8px 0 8px 20px; position: relative; font-size: 14px; color: #444;
        }
        .advice-block ul li::before {
            content: '>'; position: absolute; left: 0; color: #0f3460; font-weight: 700;
        }
        .disclaimer {
            background: #f8f9fa; padding: 20px 30px; font-size: 12px;
            color: #999; border-top: 1px solid #eee;
        }
        @media (max-width: 600px) {
            body { padding: 10px; }
            .report-header { padding: 24px 20px; }
            .report-header h1 { font-size: 22px; }
            .kpi-grid { grid-template-columns: repeat(2, 1fr); }
            .section, .kpi-section { padding: 20px; }
        }
    </style>
</head>
<body>
    <div class="report">
        <div class="report-header">
            <h1>{TITLE}</h1>
            <div class="meta">
                <span>{PERIOD}</span>
                <span>{DATE}</span>
            </div>
        </div>
        <div class="kpi-section">
            <div class="kpi-grid">
                <div class="kpi-card positive">
                    <div class="value">{POSITIVE}%</div>
                    <div class="label">Positive</div>
                </div>
                <div class="kpi-card neutral">
                    <div class="value">{NEUTRAL}%</div>
                    <div class="label">Neutral</div>
                </div>
                <div class="kpi-card negative">
                    <div class="value">{NEGATIVE}%</div>
                    <div class="label">Negative</div>
                </div>
                <div class="kpi-card">
                    <div class="value">{HOT_COUNT}</div>
                    <div class="label">Key Events</div>
                </div>
            </div>
        </div>
        <div class="section">
            <div class="section-title"><span class="icon">&#128202;</span> Sentiment Distribution</div>
            <div class="sentiment-bar">
                <div class="positive" style="width: {POSITIVE_NUM}%"></div>
                <div class="neutral" style="width: {NEUTRAL_NUM}%"></div>
                <div class="negative" style="width: {NEGATIVE_NUM}%"></div>
            </div>
            <div class="sentiment-legend">
                <span><span class="dot" style="background:#27ae60"></span> Positive {POSITIVE}%</span>
                <span><span class="dot" style="background:#f39c12"></span> Neutral {NEUTRAL}%</span>
                <span><span class="dot" style="background:#e74c3c"></span> Negative {NEGATIVE}%</span>
            </div>
            <p style="margin-top:16px; color:#555; font-size:14px;">{TREND_SUMMARY}</p>
        </div>
        <div class="section">
            <div class="section-title"><span class="icon">&#128197;</span> Key Events Timeline</div>
            <div class="timeline">
                <div class="timeline-item {EVENT_CLASS}">
                    <div class="date">{EVENT_DATE}</div>
                    <div class="title">{EVENT_TITLE}</div>
                    <div class="desc">{EVENT_DESC}</div>
                    <span class="tag {EVENT_CLASS}">{EVENT_SENTIMENT}</span>
                    <span class="tag impact-{EVENT_IMPACT}">{EVENT_IMPACT_LABEL}</span>
                </div>
            </div>
        </div>
        <div class="section">
            <div class="section-title"><span class="icon">&#128240;</span> Platform Performance</div>
        </div>
        <div class="section">
            <div class="section-title"><span class="icon">&#9888;</span> Risk Assessment</div>
            <table class="risk-table">
                <thead><tr><th>Risk</th><th>Level</th><th>Recommendation</th></tr></thead>
                <tbody>
                    <tr><td>{RISK_DESC}</td><td><span class="risk-badge {RISK_LEVEL}">{RISK_LEVEL_LABEL}</span></td><td>{RISK_SUGGESTION}</td></tr>
                </tbody>
            </table>
        </div>
        <div class="section">
            <div class="section-title"><span class="icon">&#128161;</span> Recommendations</div>
            <div class="advice-block">
                <h4>Short-term (1-2 weeks)</h4>
                <ul><li>{ADVICE_SHORT_1}</li><li>{ADVICE_SHORT_2}</li></ul>
            </div>
            <div class="advice-block">
                <h4>Mid-term (1 month)</h4>
                <ul><li>{ADVICE_MID_1}</li><li>{ADVICE_MID_2}</li></ul>
            </div>
            <div class="advice-block">
                <h4>Long-term (3+ months)</h4>
                <ul><li>{ADVICE_LONG_1}</li><li>{ADVICE_LONG_2}</li></ul>
            </div>
        </div>
        <div class="disclaimer">
            <p>This report is based on publicly available web information and is for reference only.</p>
            <p>Report generated by AI; does not represent any official position.</p>
        </div>
    </div>
</body>
</html>