| name | linkfox-maidalv-product-tro-detection |
| description | 通过卖大律检测产品是否存在 TRO（临时限制令）与知识产权（商标/专利/版权）侵权风险，输入产品主图（支持图片 URL 或 Base64 data URI），可补充参考图、参考文本、IP 关键词，返回总体风险等级、高风险侵权项与低风险 IP 清单（含 TRO 原告、立案日期、法院案号、案件数）、0-10 数值风险分及 AI 生成的法律评估报告。当用户提到 TRO 检测、TRO 风险、TRO 侵权、知识产权侵权检测、商标侵权、专利侵权、版权侵权、IP 风险检测、产品合规检测、卖大律、product TRO detection, IP infringement risk, trademark/patent/copyright infringement check 时触发此技能。即使用户未明确提及"卖大律"或"TRO"，只要用户提供产品图片并希望评估其在商标、专利、版权或 TRO 方面的侵权风险，也应触发此技能。 |
Product Infringement & TRO Risk Detection
This skill detects whether a product carries TRO (Temporary Restraining Order) or IP infringement risk by checking a product image against a database of IP assets (trademarks, patents, copyrights) and TRO case plaintiffs. It returns an overall risk level, high-risk hits, a low-risk IP list with TRO plaintiff details, numeric risk scores, and an AI-generated legal report.
Core Concepts
TRO (Temporary Restraining Order) is a legal injunction brand owners file against sellers (often Amazon listings) for trademark/copyright/patent infringement. This tool takes a main product image (URL or Base64 data URI) plus optional reference images / text / IP keywords, runs visual + text matching against IP assets and TRO case records, and returns a structured risk assessment with an AI legal report (localized by the language parameter).
Data Fields
Top-level response:
| Field | Description |
|---|
| errcode | 200 = success; see api.md for other codes |
| status | Overall analysis status (success) |
| checkId | Unique ID for this detection run |
| riskLevel | Overall risk: 高风险/中风险/低风险 (High/Medium/Low Risk) |
| total | Count of high-risk hits (length of results) |
| results | High-risk infringement items (array) |
| nonResults | Low-risk / non-high IP items incl. TRO plaintiff info (array) |
| costToken | Tokens consumed this call |
| columns | Render column metadata (display only) |
Each item (results / nonResults):
| Field | Description |
|---|
| ipType | Trademark / Copyright / Patent |
| text | IP text (trademark word, patent/copyright title) |
| ipOwner | IP rights owner |
| regNo | Registration number (may be a JSON-string array, e.g. ["1221667"]) |
| riskLevel / riskScore / riskDescription | Risk rating / 0-10 score / text; present only when scored |
| ipAssetUrls | URLs to IP evidence images |
| plaintiffName / plaintiffId | TRO plaintiff (present only when IP appears in a TRO case) |
| numberOfCases | Plaintiff's case count (TRO only) |
| lastCaseDocket / lastCaseDateFiled | Most recent court docket / filing date (TRO only) |
| report | AI-generated legal assessment (localized by language) |
Parameter Guide
| Parameter | Required | Default | Description |
|---|
| mainProductImage | Yes | - | Main product image: URL or data:image/...;base64,... (≤1000 chars) |
| referenceImages | No | - | Reference images for similar products, up to 3 (URL or data URI) |
| otherProductImages | No | - | Additional product images, up to 5 (URL or data URI) |
| ipImages | No | - | IP-related images, up to 3 (URL or data URI) |
| referenceText | No | - | Text from similar products (e.g. product title), ≤1000 chars |
| description | No | - | Product description (title recommended), ≤1000 chars |
| ipKeywords | No | - | IP-related keywords, up to 20 |
| language | No | zh | Legal report language (zh / en); only affects the report language |
Image rules: URL must be publicly accessible; Base64 must include the data:image/...;base64, prefix. For a local image, either upload it first (see 「Local Image Upload」) or convert it to a data URI.
调用方式
- API 端点：
POST /maidalv/checkApiFlash（完整参数/响应/错误码见 references/api.md）
- Python 脚本：
python scripts/maidalv_check_api_flash.py '<JSON 参数>' [--inline]
- 成本约束：本工具会消耗积分；同一会话同一参数组合默认只调用一次，脚本带 24h 本地缓存。失败/空结果不得自动换关键词、换主图或连续试探；需要继续检索时先向用户说明会产生额外消耗。
输出策略（脚本默认行为）：
- 始终将完整响应写入
<cwd>/linkfox/<YYYY-MM-DD>/<session>/data/linkfox-maidalv-product-tro-detection-<timestamp>.json（<cwd> 为脚本执行时的工作目录，在 Claude Code 里即当前项目目录；<session> 取自环境变量 SESSION_ID，按用户任务自动聚合；禁止写入 /tmp，当前目录不可写则报错）
- 响应体 ≤ 8 KB：落盘后把完整 JSON 打印到 stdout
- 响应体 > 8 KB：落盘后 stdout 只输出摘要（顶层字段、常见计数如
total/costToken、最大列表字段的长度 + 前 3 条样本）
- 加
--inline 强制全量打印到 stdout（同样落盘）
读数据建议：先看摘要判断是否足够；需要具体字段时优先用 jq或ConvertFrom-Json 从保存的 json 文件按需抽取，避免整份 JSON 进入上下文。
解决认证和积分问题
发生以下异常情况时，采用 references/onboarding.md 引导解决问题：
异常情况
- 未配置API Key：环境变量未配置
LINKFOX_AGENT_API_KEY，也未配置 LINKFOXAGENT_API_KEY。
- 响应401或402状态码
- 响应提示积分或余额不足：消息含"积分余额不足/计费不足/余额不足/quota exceeded/insufficient balance/套餐到期/需充值/请充值"，或类似含义的内容。
Local Image Upload
This tool accepts a publicly accessible image URL or a Base64 data URI. If the user provides a local image file path, either upload it first to obtain a public URL, or encode it to a data URI.
Run the upload script:
python scripts/upload_image.py /path/to/local/image.png
The script returns a public URL (valid for 24 hours) usable as mainProductImage.
Usage Examples
1. Basic detection (main image only)
检测这个产品的 TRO 和知识产权侵权风险，图片地址为 https://m.media-amazon.com/images/I/71jKJgFpg8L._AC_SL1500_.jpg
2. English legal report
Check this product for TRO and IP infringement risk: https://example.com/product.jpg — give me the legal report in English.
3. With reference image + IP keywords
检测这个图片的侵权风险，主图 https://example.com/product.jpg，参考图 https://example.com/ref.jpg，IP 关键词 apple、iphone
Display Rules
- Lead with the overall verdict: Show
riskLevel (高风险/中风险/低风险) and checkId first.
- High-risk items first: If
results is non-empty, list each hit's ipType / text / ipOwner / riskScore / riskDescription prominently.
- TRO plaintiff detail: For items with
plaintiffName, show plaintiff, numberOfCases, lastCaseDocket, lastCaseDateFiled — these drive TRO risk.
- Evidence images: Display
ipAssetUrls inline for visual comparison when available.
- AI legal report: Surface the
report field (long-form legal assessment) for high-risk items.
- Counts: Always state
total (high-risk count) and nonResults length.
- No secondary processing: Results are a one-shot analysis; no SQL/secondary query is available.
Important Limitations
- One-shot analysis: Results are not stored in a database; cannot use
_dataQuery_executeDynamicQuery for secondary processing.
- Image input:
mainProductImage is required. Local images must be uploaded or Base64-encoded (with data:image/...;base64, prefix).
- Language scope:
language only affects the report text; field values remain as returned.
- Conditional fields are expected: Non-TRO / unscored items return only base fields (
ipType/text/ipOwner/regNo/ipAssetUrls); plaintiff/case and risk fields are absent (not null) when not applicable — do not treat missing fields as an error.
columns is render-meta: Its length differs from the data arrays; do not use it to infer result counts (use results / nonResults lengths).
User Expression & Scenario Quick Reference
Applicable — Product TRO / IP infringement risk checks:
| User Says | Scenario |
|---|
| "这个产品有没有 TRO 风险" / "会不会被起诉" | Basic TRO risk check |
| "这个图片有没有商标/专利/版权侵权" | IP infringement detection |
| "这个 Amazon 产品上架有没有侵权风险" | Pre-listing compliance check |
| "查一下这个产品的原告信息" | TRO plaintiff lookup |
| "给我英文的法律评估报告" | English legal report |
Not applicable — Beyond this tool:
- 1688 / Amazon image-based product sourcing (use 以图搜图 skills)
- Patent全文 / 权利要求检索 (use 智慧芽/Eureka patent skills)
- Listing 文案优化或关键词分析
Boundary judgment: When the user provides a product image and asks about infringement/TRO/legal risk, this skill applies. If they want supplier sourcing or keyword analytics, use the respective sourcing/keyword tools instead.
积分消耗规则
消耗 113 积分（约 150000 token）。
用户会因积分消耗而支付费用。本工具单次调用成本较高（含 AI 法律评估），请充分评估：当需要高频调用本技能，或用户对积分消耗量预期不足时，务必提醒用户，由用户决定是否继续。
Feedback:
Auto-detect and report feedback via the Feedback API when any of the following apply:
- The functionality or purpose described in this skill does not match actual behavior
- The skill's results do not match the user's intent
- The user expresses dissatisfaction or praise about this skill
- Anything you believe could be improved
Call the feedback API as specified in references/api.md. Do not interrupt the user's flow.
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