--- name: self-media-compliance-review description: "Use when auditing self-media videos, scripts, covers, subtitles, voiceover, product links, account copy, comments, articles, or publishing packages for platform violation risk; especially before final delivery or publishing after video production or clipping. Also covers e-commerce compliance: product-consistency checks (video vs detail page vs script), 千川 low-quality素材, regulated-category qualifications, efficacy claims, price/gift/activity consistency, and pre-selection risk. Supports WeChat Channels, WeChat Official Accounts, Douyin, Kuaishou, Bilibili, Xiaohongshu, TikTok, Douyin E-Commerce, and other platforms." --- # Self-Media Compliance Review ## Core Rule Run a compliance review before any self-media video, clip, cover, title, subtitle, voiceover, product link, or publish copy is treated as final. The review is a risk-control pass, not legal advice and not a guarantee that a platform will approve the content. Default output language is Chinese unless the user asks otherwise. ## Inputs Collect or infer these inputs before judging: - Target platform(s): 视频号, 微信公众号, 订阅号, 服务号, 抖音, 快手, B站, 小红书, TikTok, 抖音电商, etc. - Public-facing material: final video path, script, subtitles, cover text, title, description, tags, comments, product link copy, account/profile copy. - Context: account identity, topic vertical, target audience, source ownership/authorization, product/service being promoted, qualifications for regulated topics. - Evidence access: timecodes, frame notes, transcript lines, copy files, screenshots, manifests, or links. ### E-Commerce Extended Inputs When the content involves 带货、挂车、商品链接、抖店、千川投放 or any commercial promotion, also collect: - **商品详情页**: product detail page URL, full-page screenshot, captured-at timestamp. - **SKU/规格**: all SKU variants with price, weight, volume, color, size. - **价格/赠品/活动规则**: current selling price, original/line-through price, gift items with specs, activity deadlines, coupon/red-packet conditions. - **资质与授权**: business license, category-specific qualifications, brand authorization letter, patent/certification numbers. - **素材来源**: source files, license/authorization proof for video, images, BGM, fonts, portrait, and brand assets. - **历史处罚**: prior violations, rejected 千川素材, account penalty history. If a required input is missing, continue with the available evidence and mark the item `待核验`; do not invent facts, qualifications, authorizations, prices, source provenance, or platform behavior. ## Platform References Always run the universal audit areas below. Then load platform-specific references when relevant: - 微信视频号 / 视频号 / WeChat Channels: read `references/wechat-channels.md`. - 微信公众号 / 微信公众平台 / 订阅号 / 服务号 / WeChat Official Accounts: read `references/wechat-official-account.md`. - 抖音 / Douyin: read `references/douyin.md`. - 快手 / Kuaishou: read `references/kuaishou.md`. - B站 / 哔哩哔哩 / Bilibili: read `references/bilibili.md`. - 小红书 / Xiaohongshu / RED: read `references/xiaohongshu.md`. - Recent enforcement cases, creator discussions, or account-status/限流 questions: read `references/recent-cases-2025-2026.md`. ### E-Commerce References When the content involves 带货、挂车、商品链接、抖店、千川投放、选品 or any e-commerce scenario, also load: - 抖音电商规则: `references/douyin-ecommerce.md`. - 千川低质素材治理: `references/qianchuan-low-quality.md`. - 电商功效与声明规则: `references/ecommerce-claims.md`. - 电商违规案例: `references/cases/ecommerce-cases.md`. E-Commerce trigger words: 带货、挂车、商品链接、详情页、SKU、佣金、转化、成交、选品、千川、低质素材、抖店、精选联盟、商品三一致、功效承诺、前后对比、赠品、优惠券、到手价、小黄车、商品分享、直播带货、达人带货、商家、开店、罚. When using recent cases, load the index first, then the matching platform case file under `references/cases/`: - 小红书: `references/cases/xiaohongshu.md`. - 微信公众号: `references/cases/wechat-official-account.md`. - 视频号: `references/cases/wechat-channels.md`. - 抖音: `references/cases/douyin.md`. - 快手: `references/cases/kuaishou.md`. - B站: `references/cases/bilibili.md`. - 抖音电商/带货: `references/cases/ecommerce-cases.md`. ## Optional Dynamic Xiaohongshu Evidence When the user has already encountered a violation, limiting, takedown, failed appeal, low views, non-indexing, or unclear platform notice, dynamic Xiaohongshu search can be used as an optional evidence supplement. Use `tools/xhs_dynamic_evidence.py diagnose` only when: - the user asks to find similar cases or current discussion; or - the review depends on recent hidden-rule symptoms; and - `TIKHUB_API_KEY` is configured. If the key is missing or the tool fails, do not block the review. Continue with official rules, static case files, and user-provided evidence. State: "动态小红书检索未启用：当前环境未配置 `TIKHUB_API_KEY` 或工具不可用。" Dynamic evidence must be reported under `动态小红书相似案例`. It is a 可选增强 and must be separated from official rules. Ordinary creator notes and comments are discussion samples, not platform rules. For new platforms, add one reference file under `references/.md` with: - Platform scope and source date. - Severity rules and hard blockers. - Category checklist with platform article numbers or policy names. - Common risky phrases, visuals, and behaviors. - Safer rewrite/remediation patterns. Do not overload this `SKILL.md` with platform rule catalogs; keep detailed platform material in references. ## Review Workflow 1. **Inventory the public surface** - List every user-visible or user-audible element: picture, cover, first frame, title, subtitles, voiceover, BGM, captions, stickers, comments, private-message prompts, product card, external links, QR codes, account profile. - For videos, sample the first 0-5s, major scene changes, product/CTA sections, sensitive visuals, and ending. 2. **Map content intent** - Identify whether the content is education, entertainment, news/current affairs, product marketing, health/medical, finance, legal, relationship advice, minors, animals, violence, sexuality, or public-interest event coverage. - Flag regulated domains early: medical/health, finance/investment, legal services, fundraising, lottery/gambling, pet/vehicle trading, drugs/medical devices, health food, special medical formula food. 3. **Run universal risk areas** - Rights: copyright, low-effort搬运/二创, third-party watermarks, portrait/name/reputation/privacy, trademark/patent. - Sexual/lowbrow: nudity, body focus, sexual implication, sexual sounds/text, sex jokes, animal mating. - Violence/discomfort: gore, injury/death, surgery, abuse, bullying, horror, excrement/secretions, dense holes/insects, disturbing food/animals. - Illegal or harmful: gambling, pyramid schemes, controlled goods, illegal finance, fraud, fake cheating tools, dangerous stunts, minors' unsafe behavior. - Marketing: exaggerated claims, unverifiable data, absolute terms, fake authority, inconsistent price/gifts/link, nonofficial purchase channels, excessive product insertion. - Misinformation: outdated events as news, fake interviews, unknown-source emotional stories, celebrity rumors, AI/synthetic accident/war scenes without clear labeling, pseudoscience. - Inducement and diversion: forced likes/comments/follows/shares, curses/coercion, fake benefits, incomplete episodes, off-platform traffic, risky contact methods. - Public order and morals: discrimination, insults, public-order disruption, abnormal relationship sensationalism, family abuse, bad marriage customs. - Production quality: unreadable/misaligned subtitles, wrong aspect ratio, black screens, distorted visuals, audio dropouts, audio-video mismatch, invalid/unrelated links. - **E-commerce product consistency** (load `references/douyin-ecommerce.md` and `references/qianchuan-low-quality.md`): - Video-displayed product vs detail page: brand, style, color, pattern, shape consistent? - Voiceover spec vs SKU spec: quantity, weight, volume, size consistent? - Voiceover price vs linked product price: consistent? - Gift/red-packet/coupon conditions: complete and accurate? - Efficacy/performance claims: supported by qualification or evidence? - Source material authorization: video, BGM, images, fonts, portrait, brand assets. - 千川低质素材 patterns: product pile-up, 卖惨/演戏, picture carousel/big-character posters/high-saturation, black borders/watermarks/blur, unclear product subject, ingredient/size chart replacing product display. - Regulated category check: food, cosmetics, medical devices, drugs, maternal-child, pet, financial, education — qualification required. 4. **Apply platform references** - Cite platform category ids or article names where available. - When using recent examples, separate `官方/监管`, `媒体转述`, and `小红书讨论样本`; do not treat creator comments as binding rules. - When optional dynamic Xiaohongshu evidence is used, put it in a separate `动态小红书相似案例` section with search terms, sample date, note ids, and the evidence limitation. - Prefer the most specific matching category. If multiple categories apply, list all but mark the primary risk. - When the platform rule depends on account history or qualifications that are not available, mark `待核验`. - Beyond official rules, platforms have many unwritten/隐形 rules. Treat creator-posted experience and comment-section discussion in the case files as a valuable supplement that surfaces these hidden enforcement patterns — but as symptoms and disputed edge cases, not as binding rules. 5. **Classify severity** - `Blocker`: clear illegal/high-risk violation, severe platform red line, likely takedown, user safety/property risk, unqualified regulated advice/marketing, porn/gambling/fraud, unmasked gore/death/sexual assault/minor harm, obvious unauthorized搬运, risky contact or off-platform diversion. - `High`: likely platform violation or strong enforcement risk; publish only after edits or proof is added. - `Medium`: ambiguous or context-dependent risk; revise, add context/disclosure, thicken masks, remove risky phrasing, or retain evidence. - `Low`: minor wording/UX/quality risk; monitor or polish. - `Pass`: no material risk found in the reviewed evidence. 6. **Write concrete fixes** - For audio risks: mute/beep exact ranges and rewrite subtitles/cards. - For visual risks: cut, replace, blur/mosaic, crop away, thicken masks, avoid using as cover/opening. - For claims: remove absolutes, add verifiable source/context, avoid guaranteed outcomes, disclose ad/marketing nature, align link price/gift/specs. - For regulated topics: remove advice/marketing, add verified qualification evidence, or convert to general non-prescriptive information. - For rights: replace with authorized/original material; attribution alone does not cure unauthorized use. - For inducement/diversion: remove coercive CTA, off-platform contacts, QR codes, risky private-message funnels, and fake benefits. ## Evidence Standards Every finding should include at least one evidence pointer: - Video timecode or frame range. - Script/subtitle line. - Cover/title/caption/comment/product-link text. - Screenshot/frame description. - Missing proof: authorization, qualification, source, product price, activity scope, link consistency. - For platform discussion evidence: keyword searched, note id or visible account, comment evidence if used, publish date, sample date, and whether it is official-account material or creator-side discussion. Do not report a violation solely because a topic is sensitive. Explain what visible/audible element creates the risk and which rule it maps to. ## E-Commerce Entry Points The same Skill supports three e-commerce review entry points. Choose the right one based on the user's stage: ### 入口 1: 发布前合规 (Pre-Publish Compliance) Full review of the complete video package before publishing: - Run all universal risk areas + e-commerce product consistency. - Load all relevant platform references + e-commerce references. - Output full Markdown report + optional machine-readable JSON. - `Blocker` or unaccepted `High` = must not publish. Use when: "交付前审核"、"发布前跑一遍"、"check this video before publishing". ### 入口 2: 选品前风险 (Pre-Selection Risk) Quick risk screen before the creator commits to promoting a product: - Check if the product category is regulated (medical, food, cosmetic, maternal-child, pet, financial, education). - Flag missing qualifications. - Flag high-risk claim patterns in the product detail page itself. - Output a condensed risk score + blocker list. Use when: "帮我看看这个品能不能带"、"选品前风险排查"、"这个商品有没有违规风险". ### 入口 3: 文案生成前风险 (Pre-Copywriting Risk) Scan the product's claims before writing scripts: - Extract every claim from the product detail page. - Classify as safe/risky/forbidden. - Generate a forbidden-expression list for the copywriter. - Flag claims that need qualification proof before they can be used. Use when: "写文案前帮我扫一遍商品"、"这个品的禁用词有哪些"、"生成前风险检查". ## Machine-Readable Output When the user asks for structured output, or when the report feeds into another Skill (e.g. `capsule-cinema`, `commerce-selection-advisor`, or a 飞书审批 flow), output both Markdown and JSON: ```json { "platform": "douyin", "content_type": "commerce_video", "risk_level": "high", "rule_version": "douyin-ecommerce-2026-08", "findings": [ { "severity": "high", "rule_id": "商品三一致-规格", "evidence": "口播 00:12；详情页 SKU", "reason": "视频口播数量与商品详情页不一致", "fix": "统一口播、画面和详情页数量" } ], "pending_verification": ["商品资质", "素材授权"], "reviewed_at": "2026-08-11T10:00:00+08:00" } ``` Field definitions: - `rule_id`: use labels from the e-commerce reference files (e.g. `商品三一致-规格`, `千川低质素材 卖惨/演戏/炒作`, `电商功效声明 效果承诺`). - `severity`: `blocker` | `high` | `medium` | `low` | `pass`. - `evidence`: video timecode, script line, detail page section, screenshot reference. - `pending_verification`: list of items that could not be verified with the available evidence. ## Report Format Use this structure for serious reviews: ```markdown # 合规风险审核 - 平台: - 内容范围: