--- name: multi-source-sentiment description: >- 企业尽调舆情采集——通过抖音指数、抖音精选、WebSearch 三大数据源采集企业舆情，分析负面风险（诉讼/处罚/质量/高管/劳资），输出尽调舆情报告。Use when 用户提到"查舆情"、"企业舆情"、"负面新闻"、"舆论风险"、"尽调舆情"、"企业口碑"、"舆情分析"、"网络口碑"。 version: 1.0.0 type: procedural risk_level: medium status: enabled tags: - due-diligence - sentiment - public-opinion - douyin metadata: author: desirecore updated_at: '2026-09-03' i18n: default_locale: en-US source_locale: zh-CN locales: - zh-CN - en-US zh-CN: name: 企业尽调舆情采集 short_desc: 抖音指数+抖音精选+WebSearch 三渠道采集，输出尽调舆情报告 description: >- 企业尽调舆情采集——通过抖音指数、抖音精选、WebSearch 三大数据源采集企业舆情，分析负面风险（诉讼/处罚/质量/高管/劳资），输出尽调舆情报告。Use when 用户提到"查舆情"、"企业舆情"、"负面新闻"、"舆论风险"、"尽调舆情"、"企业口碑"、"舆情分析"、"网络口碑"。 body: ./SKILL.zh-CN.md source_hash: sha256:e102f3139e03fcd5 translated_by: human en-US: name: Multi-Source Sentiment short_desc: Due-diligence sentiment via Douyin Index, Douyin Featured, and WebSearch description: >- Due-diligence sentiment collection — gather enterprise public opinion via three channels (Douyin Index, Douyin Featured, WebSearch), analyze negative risks (litigation / penalties / quality / executives / labor), and output a due-diligence sentiment report. Use when the user asks about enterprise sentiment, negative news, reputation risk, or public opinion. body: ./SKILL.md source_hash: sha256:e102f3139e03fcd5 translated_by: human market: icon: >- category: research maintainer: name: DesireCore Official verified: true compatible_agents: [] channel: latest required_client_version: 10.0.115 --- # Multi-Source Sentiment (Due Diligence) ## L0: One-Sentence Summary Input a company name, collect public opinion via Douyin Index (trend) + Douyin Featured (negative material) + WebSearch (web-wide news), and output a due-diligence sentiment report (negative-risk list / positive highlights / sentiment overview / overall judgment). ## L1: Overview - **Purpose**: answer the core due-diligence questions — any negative publicity? litigation/penalty coverage? product-quality issues? executive misconduct? overall reputation? - **Channel split**: | Channel | Due-diligence use | Collection | |---|---|---| | **Douyin Index** | Quantified heat trend (is something fermenting recently?) | Kimi WebBridge visiting Oceanengine Trends | | **Douyin Featured** | Concrete negative material (complaint/expose videos) | Kimi WebBridge searching Douyin | | **WebSearch** | Web-wide negative news / court notices / penalties / complaints | DesireCore built-in WebSearch | - **Prerequisites**: Kimi WebBridge daemon running (`127.0.0.1:10086`) + browser extension connected ## L2: Procedure ### Source 1: Douyin Index (heat trend) #### Access Method ``` URL: https://trendinsight.oceanengine.com/arithmetic-index/analysis/keyword?keyword={company-short-name}&appName=aweme Method: Kimi WebBridge opens the URL and extracts page content Note: URL-parameterized access avoids captchas. Do not type into the search box. ``` #### Keyword Strategy | Dimension | Keyword | |---|---| | Overall heat | `{short name}` | | Negative heat | `{short name} 负面` | | Complaint heat | `{short name} 投诉` | #### Interpretation - **Sudden spike** (MoM > 200%) → a negative event may be fermenting; investigate - **Flat trend** → low reputation risk - **Persistently high** → normal for famous companies; judge by content ### Source 2: Douyin Featured (negative material) #### Access Method ``` URL: https://www.douyin.com/search/{company-short-name}?type=video Method: Kimi WebBridge searches Douyin, extracts title / author / likes / comments Note: search by short name (full names rarely hit); prioritize high-engagement videos. ``` #### Collected Fields Collected fields: video title (negative signals: complaint / rights-protection / exposure / quality / scam / runaway), likes & comments (reach = impact), author (personal vent vs media report vs competitor smear), publish date (recent vs historical). #### Signal Grading | Signals | Risk | |---|---| | 投诉 / 维权 / 欺骗 / 诈骗 / 跑路 | 🔴 high | | 质量 / 召回 / 不合格 / 假货 | 🔴 high | | 欠薪 / 辞退 / 仲裁 | 🟡 medium | | 吐槽 / 差评 / 不满 | 🟡 medium | | positive / awards / innovation | 🟢 positive | ### Source 3: WebSearch (web-wide) #### Search Keyword Groups ```python # High priority (always) search_queries_high = [ "{company} 负面 OR 投诉 OR 维权 OR 欺骗 OR 跑路", "{company} 起诉 OR 法院 OR 被告 OR 被执行 OR 失信", "{company} 处罚 OR 违规 OR 罚款 OR 整改 OR 通报批评", ] # Medium priority (recommended) search_queries_mid = [ "{company} 质量 OR 召回 OR 不合格 OR 安全事故", "{company} 老板 OR 法人 OR 总经理 丑闻 OR 被查 OR 被抓", "{company} 欠薪 OR 辞退 OR 劳动仲裁 OR 工伤", ] # Low priority (positive control) search_queries_low = [ "{company} 获奖 OR 创新 OR 认定 OR 排名", ] ``` #### Collected Fields Collected fields: title / source site / date / summary / URL. **Note**: distinguish the company as **plaintiff** (enforcement, not a negative signal) vs **defendant** (negative signal). ### Step 1: Run the three channels 1. **WebSearch** first (highest information density): run high/medium/low query groups and collect results 2. **Douyin Index**: check the heat trend for signs of recent fermentation 3. **Douyin Featured**: search videos and filter by negative signal words ### Step 2: LLM post-processing | Step | Description | |---|---| | Sentiment classification | tag each item positive / neutral / negative | | Risk grading | negative → high (defendant / penalty / runaway / safety accident) / medium (complaints / quality gripes / labor) / low (generic bad reviews) | | Event merging | merge duplicate coverage of one event (keep the earliest) | | Plaintiff/defendant split | litigation where the company is plaintiff is **not** a negative risk | | Recency | mark "recent" (≤3 months) vs "historical" | ### Step 3: Output the report ```json { "query_status": "success", "source": "multi-source-sentiment", "company_name": "{company}", "sentiment_overview": { "overall_assessment": "正面 | 中性偏正 | 中性 | 中性偏负 | 负面 | 高风险", "negative_ratio": "15%", "neutral_ratio": "60%", "positive_ratio": "25%", "trend": "稳定 | 近期发酵 | 持续负面" }, "negative_risks": [ { "risk_type": "诉讼报道(被告) | 行政处罚 | 产品质量 | 高管负面 | 劳资纠纷 | 消费者投诉 | 经营异常", "event_title": "……", "event_date": "YYYY-MM-DD", "recency": "近期 | 历史", "source_url": "https://……", "severity": "高 | 中 | 低", "summary": "1-2 sentence summary" } ], "controversies": [], "positive_highlights": [], "sentiment_summary": "3-5 sentence judgment: overall reputation, main negatives and severity, fermentation status, due-diligence advice", "data_sources_used": ["websearch", "douyin-index", "douyin-featured"], "collection_time": "ISO8601" } ``` ## Quality Standards - **Authenticity**: all content must come from actual collection (WebSearch results / Douyin pages); never fabricate - **Traceability**: every negative risk carries a source_url - **Plaintiff/defendant**: litigation where the company is plaintiff goes to "litigation updates", not negative risks - **Recency**: every negative item is marked recent (≤3 months) or historical - **No absolute conclusions**: sentiment is one auxiliary signal; the report must note it should be combined with business-registration, judicial, and financial data ## Error Handling | Scenario | Handling | |---|---| | Douyin Index unreachable | skip; supplement with WebSearch + Featured; note "heat data missing" in the report | | Douyin search requires login | skip; WebSearch `{company} 抖音 负面` instead | | WebSearch returns nothing | mark "no negative found" — a positive signal | | Too many negatives | keep the top 10 by severity; count the rest | ## Known Limitations - **Not real-time**: depends on search-engine indexing and Douyin pages; hour-to-day latency (7×24 monitoring requires commercial sentiment APIs) - **LLM-based sentiment**: no dedicated sentiment model; ~85-90% accuracy, edge cases may misjudge - **Douyin coverage**: WeChat/Weibo/Xiaohongshu content is only covered indirectly via WebSearch - **Full vs short name**: WebSearch uses the full name (precision), Douyin the short name (recall); results may differ ## Troubleshooting | Problem | Cause | Fix | |---|---|---| | WebBridge daemon unreachable | daemon down | `~/.kimi-webbridge/bin/kimi-webbridge.exe start` | | Trends page blank | JS not rendered | wait 5 s, then evaluate innerText | | Douyin search empty | login required / name mismatch | skip; supplement via WebSearch | | WebSearch results all positive | weak negative keywords | use concrete terms (e.g. "被处罚" instead of "处罚") |