What makes EchoTik-商品视频查询 notable?

1.5K downloads. Trust evidence available

How should EchoTik-商品视频查询 be evaluated before use?

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EchoTik-商品视频查询

查询TikTok商品的关联带货视频数据，包括播放量、点赞、评论、分享、视频销量与GMV，分析商品的视频营销表现与达人内容效果。当用户提到TikTok商品视频、TikTok带货视频、商品关联视频、视频营销分析、达人视频表现、TikTok视频销量、TikTok video sales, product video analysis, influencer video performance, TikTok promotional videos, product marketing videos时触发此技能。即使用户未明确提及"EchoTik"或"商品视频"，只要其需求涉及查看某个TikTok商品有哪些带货视频、视频的播放和转化数据，也应触发此技能。 Skill: EchoTik-商品视频查询 Owner: linkfox-ai Summary: 查询TikTok商品的关联带货视频数据，包括播放量、点赞、评论、分享、视频销量与GMV，分析商品的视频营销表现与达人内容效果。当用户提到TikTok商品视频、TikTok带货视频、商品关联视频、视频营销分析、达人视频表现、TikTok视频销量、TikTok video sales, product video analysis, influencer video performance, TikTok promotional videos, product marketing videos时触发此技能。即使用户未明确提及"EchoTik"或"商品视频"，只要其需求涉及查看某个TikTok商品有哪些带货视频、视频的播放和转化数据，也应触发此技能。 Tags: latest:1.0.7 Version history: v1.0.7 |

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Safety

Downloads

1.5k

Updated

Oct 10, 2026

Version

1.0.7

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.5K downloads reported by the source. Last updated 10/10/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 10, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 10, 2026
Adoption signal: 1.5K downloadsadoption · observed Oct 10, 2026
Latest release: 1.0.7release · observed Sep 14, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s171g8b6m2khwdy9ye8bxj0wx183vd4z:linkfox-echotik-product-video

Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-linkfox-ai-linkfox-echotik-product-video/snapshot"

Documentation

CLAWHUB

108,859 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: linkfox-echotik-product-video
description: 查询TikTok商品的关联带货视频数据，包括播放量、点赞、评论、分享、视频销量与GMV，分析商品的视频营销表现与达人内容效果。当用户提到TikTok商品视频、TikTok带货视频、商品关联视频、视频营销分析、达人视频表现、TikTok视频销量、TikTok video sales, product video analysis, influencer video performance, TikTok promotional videos, product marketing videos时触发此技能。即使用户未明确提及"EchoTik"或"商品视频"，只要其需求涉及查看某个TikTok商品有哪些带货视频、视频的播放和转化数据，也应触发此技能。
---

# EchoTik - TikTok Product Video

This skill guides you on how to query promotional videos associated with a TikTok Shop product, helping sellers analyze video marketing performance and identify effective influencer content strategies.

## Core Concepts

This tool retrieves the list of promotional videos linked to a specific TikTok product. Each video record includes engagement metrics (views, likes, comments, shares, favorites), estimated sales attribution (video sales count and GMV), video metadata (duration, resolution, publish date), and the creator (influencer) ID. This enables sellers to understand which videos drive the most sales for a product and what content patterns work best.

**Required input**: A `productId` is mandatory. You can obtain product IDs from the EchoTik product search tool (`linkfox-echotik-product-search`) or the new product ranking tool (`linkfox-echotik-new-product-rank`).

**Sort fields**: Videos can be sorted by views (1), likes (2), shares (3), video sales (4), video GMV (5), or publish date (6).

**Pagination**: `pageSize` must be a multiple of 10, max 100. The backend fetches in batches of 10 and merges results.

## Parameter Guide

| Parameter | Type | Required | Description | Default |
|-----------|------|----------|-------------|---------|
| productId | string | Yes | TikTok product ID | - |
| userId | string | No | Filter by influencer ID | - |
| productVideoSortField | integer | No | Sort field: 1=views, 2=likes, 3=shares, 4=video sales, 5=video GMV, 6=publish date | 1 |
| sortType | integer | No | Sort order: 0=ascending, 1=descending | 1 |
| minCreateTime | integer | No | Video publish start time (Unix timestamp in seconds) | - |
| maxCreateTime | integer | No | Video publish end time (Unix timestamp in seconds) | - |
| pageNum | integer | No | Page number | 1 |
| pageSize | integer | No | Results per page (multiple of 10, max 100) | 50 |

## 调用方式

- **API 端点**：`POST /echotik/listProductVideo`（完整参数/响应/错误码见 `references/api.md`）
- **Python 脚本**：`python scripts/echotik_list_product_video.py '<JSON 参数>' [--inline]`
- **成本约束**：本工具会消耗算力；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、翻页或改邮编连续试探；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-echotik-product-video-<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`

_meta.json

{
  "ownerId": "kn7dmc1t4j28hem1twwyav85p182pb1j",
  "slug": "linkfox-echotik-product-video",
  "version": "1.0.7",
  "publishedAt": 1789362136299
}

references/api.md

# EchoTik-TikTok商品视频 API 参考

## 调用规范

- **请求地址**：`${LINKFOX_TOOL_GATEWAY}/echotik/listProductVideo`
- **请求方式**：POST，Content-Type: application/json
- **认证方式**：Header `Authorization: <api_key>`，api_key 从环境变量 `LINKFOX_AGENT_API_KEY` 或 `LINKFOXAGENT_API_KEY` 读取（如未配置 按 SKILL.md 的 **## 解决认证和算力问题** 处理）

## 请求参数

POST Body（JSON）：

| 参数 | 类型 | 必填 | 说明 |
|------|------|------|------|
| productId | string | 是 | 商品ID。最大长度 1000 |
| userId | string | 否 | 达人ID，用于筛选特定达人的带货视频。最大长度 1000 |
| productVideoSortField | integer | 否 | 排序字段：1=播放量、2=点赞数、3=分享数、4=视频销量、5=视频销售GMV、6=发布时间。默认 `1` |
| sortType | integer | 否 | 排序方式：0=升序、1=降序。默认 `1` |
| minCreateTime | integer | 否 | 视频发布时间区间-开始（秒级时间戳） |
| maxCreateTime | integer | 否 | 视频发布时间区间-结束（秒级时间戳） |
| pageNum | integer | 否 | 分页页码。默认 `1` |
| pageSize | integer | 否 | 分页条数（须为10的倍数，最大100；官方接口单页上限10，内部按10每页多次拉取后合并）。默认 `50` |

## 响应结构

| 字段 | 类型 | 说明 |
|------|------|------|
| total | integer | 记录数 |
| data | array | 视频列表（见下方视频对象） |
| columns | array | 渲染的列 |
| type | string | 渲染的样式 |
| costToken | integer | 消耗token |

### 视频对象

| 字段 | 类型 | 说明 |
|------|------|------|
| videoId | string | 视频ID |
| productId | string | 商品ID |
| userId | string | 达人ID |
| videoDesc | string | 视频描述 |
| officialUrl | string | TikTok官方视频地址 |
| covet | integer | 分享数 |
| totalFavoritesCnt | integer | 收藏数 |
| totalVideoSaleCnt | integer | 视频销量（估算） |
| totalVideoSaleGmvAmt | integer | 视频销售GMV（估算） |
| hashTag | string | 话题标签 |
| createDate | string (date) | 视频发布日期 |
| region | string | 区域代码 |
| sourceTool | string | 来源工具 |
| sourceType | string | 商品来源 |

## 错误码

正常情况下，接口的 HTTP 状态码均为 200，业务的成功与否通过响应体中的 errorCode 字段区分（errorCode = 200 表示成功，其他值表示业务错误）。当遇到未授权等情况时，HTTP 状态码为 401，且对应的 errorCode 也是 401。

| errcode | 含义 | 处理建议 |
|---------|------|----------|
| 200 | 成功 | 正常解析业务字段 |
| 401 | 认证失败 | HTTP 401 或 authorized error：按 SKILL.md 的 **## 解决认证和算力问题** 处理。|
| 402 | 算力不足 | HTTP 402：按 SKILL.md 的 **## 解决认证和算力问题** 处理。|
| 其他非200值 | 业务异常 | 参考 `errmsg` 字段获取具体错误原因 |

错误响应示例：

```json
{
    "errcode": 401,
    "errmsg": "authorized error"
}
```

## curl 示例

```bash
curl -X POST https://tool-gateway.linkfox.com/echotik/listProductVideo \
  -H "Authorization: $LINKFOXAGENT_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "productId": "1729382310407603945",
    "productVideoSortField": 1,
    "sortType": 1,
    "pageSize": 20
  }'
```

---

## Feedback API

> This endpoint is **separate** from the tool API above. Do not mix the two base URLs.

- **POST** `https://skill-api.linkfox.com/api/v1/public/feedback`
- **Content-Type:** `application/json`

```json
{
  "skillName": "linkfox-echotik-product-video",
  "sentiment": "POSITIVE",
  "category": "OTHER",
  "content": "Results were accurate, user was satisfied."
}
```

**Field rules:**
- `skillName`: Use this skill's `name` from the YAML frontmatter
- `sentiment`: Choose ONE — `POSITIVE` (praise), `NEUTRAL` (sugge

references/onboarding.md

# 解决认证和算力问题

调用本 skill 时若网关返回 **auth** 或 **billing** 错误，走本 skill 自带的 `scripts/onboarding.py` 完成引导。

**auth 场景**：`errcode=401` 或消息含 `authorized error`/`鉴权失败`/`未授权`/`unauthorized`；或 `LINKFOX_AGENT_API_KEY` 与 `LINKFOXAGENT_API_KEY` 均为空。
1. 若已配置 key → 先让用户重启会话（最常见误判），仍失败让用户重新取 key 或换手机号重注册
2. 未配置 → 询问：自助去 https://agent.linkfox.com/ 取 key，或提供手机号让脚本注册
3. 手机号路径：
   - `python scripts/onboarding.py send-code <phone>` → 展示 JSON 里的 phone/agreements
   - 收到验证码后：`python scripts/onboarding.py login <phone> <code>`
   - 拿到 `api_key` 后把下面三平台配置转发给用户，提示重启会话生效：
     - Windows PowerShell（永久）：`setx LINKFOX_AGENT_API_KEY "<key>"`
     - macOS zsh：`echo 'export LINKFOX_AGENT_API_KEY="<key>"' >> ~/.zshrc && source ~/.zshrc`
     - Linux bash：`echo 'export LINKFOX_AGENT_API_KEY="<key>"' >> ~/.bashrc && source ~/.bashrc`
     - 变量名 `LINKFOX_AGENT_API_KEY`（主推）或 `LINKFOXAGENT_API_KEY`（老规范）任一即可

**billing 场景**：`errcode=402` 或消息含 `算力/余额/quota/insufficient/充值/套餐到期`。
- `python scripts/onboarding.py list-plans` → 有 AskUserQuestion 就弹菜单，否则输出编号清单让用户选
- 校验 `plan_id` ∈ 清单、支付方式 ∈ 该套餐 `available_methods`（通常 `wechat/alipay`）
- `python scripts/onboarding.py order <plan_id> <method>` → 展示优先级 PNG > `pay_url` > `ascii_qr`（标注兜底）
- 已付款可选调 `python scripts/onboarding.py query <order_id>`，不主动轮询

排除 `errcode=403`（无权限，不归入这两类）。所有子命令输出 stdout JSON，`error` 字段已含阶段前缀，透传给用户即可。完整用法：`python scripts/onboarding.py --help`。

skill-card.md

## Description:

Queries promotional videos associated with a TikTok Shop product and helps sellers analyze engagement, estimated sales, GMV, creator, and publishing signals.

This skill is ready for commercial/non-commercial use.

## Publisher:

[linkfox-ai](https://clawhub.ai/user/linkfox-ai)

### License/Terms of Use:

MIT-0

## Use Case:

External sellers, marketplace analysts, and agent users use this skill to inspect TikTok product promotional videos, compare engagement and estimated conversion metrics, and identify creator content linked to a product ID.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: The skill sends product queries, API keys, and session metadata to LinkFox endpoints.

Mitigation: Use it only when LinkFox is trusted for the business data involved, and protect or rotate API keys if exposed.

Risk: The onboarding flow can ask for phone-number login, SMS verification, API-key generation, plan selection, and payment order creation.

Mitigation: Prefer obtaining an API key directly from the first-party LinkFox site, and require the user to confirm any paid plan or order action.

Risk: Endpoint override environment variables could redirect requests away from the expected LinkFox services.

Mitigation: Avoid setting endpoint override variables unless they are intentionally reviewed for the current environment.

Risk: The skill writes API responses and cache/session files locally, which may contain sensitive product or account context.

Mitigation: Periodically review and delete local LinkFox cache and session files when they are no longer needed.

## Reference(s):

- [EchoTik product video API reference](references/api.md)
- [Authentication and billing onboarding guide](references/onboarding.md)
- [ClawHub skill page](https://clawhub.ai/linkfox-ai/skills/linkfox-echotik-product-video)
- [LinkFox Skills](https://skill.linkfox.com/)

## Skill Output:

**Output Type(s):** [text, markdown, code, shell commands, configuration, guidance]

**Output Format:** [Markdown guidance with JSON API results and saved JSON data files]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [The skill can write full API responses to local LinkFox session data files and print either full JSON or summaries depending on response size.]

## Skill Version(s):

1.0.7 (source: server release evidence)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

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