Sentiment Monitor

Public opinion monitoring and structured report generation. Collects publicly available web information about celebrities, TV shows, or brands, performs sent...

Security Scan

The skill's declared purpose (public opinion monitoring and HTML report generation) aligns with its instructions and requested capabilities; it is an instruction-only skill that relies on the platform's WebSearch/WebFetch and Write tools and requests no credentials or installs.

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.

Assessment

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.

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:

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

Phase 5: Delivery

1. Save the HTML report using the Write tool
2. Display the report preview using preview_url (if available)
3. Deliver the file using deliver_attachments (if available)
4. 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.

<!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>