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睿观-图片政策合规监测

CLAWHUB · Unverified

基于睿观的产品图片政策合规检测，通过视觉相似度匹配识别潜在违规商品。当用户提到政策合规检查、产品图片合规、违规检测、禁售商品筛查、基于图片的合规审查、上架前风险排查、policy compliance detection, product compliance review, violation detection, image compliance check, product image risk screening, Ruiguan时触发此技能。即使用户未明确说"合规"，只要其需求涉及将产品图片与违规数据库进行比对，也应触发此技能。 Skill: 睿观-图片政策合规监测 Owner: linkfox-ai Summary: 基于睿观的产品图片政策合规检测，通过视觉相似度匹配识别潜在违规商品。当用户提到政策合规检查、产品图片合规、违规检测、禁售商品筛查、基于图片的合规审查、上架前风险排查、policy compliance detection, product compliance review, violation detection, image compliance check, product image risk screening, Ruiguan时触发此技能。即使用户未明确说"合规"，只要其需求涉及将产品图片与违规数据库进行比对，也应触发此技能。 Tags: latest:1.0.7 Version history: v1.0.7 | 2026-09-14T05:23:29.807Z | user Update from 1.0.6 to 1.0

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About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 970 downloads reported by the source. Last updated 10/12/2026.

Avoid when

  • Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Install and run

Setup complexity: low.

clawhub skill install s171g8b6m2khwdy9ye8bxj0wx183vd4z:linkfox-ruiguan-gun-parts-search
  1. 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.
  2. 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-ruiguan-gun-parts-search/snapshot"

Run-check

$0.02 USD

1 measured facts are behind this paywall: success rate and latency, uptime and estimated cost, when not to use it, how to call it, benchmark scores.

Agents pay $0.02 in USDC. A card payment is $0.50, the smallest a card allows.

Documentation

CLAWHUB

89,140 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: linkfox-ruiguan-gun-parts-search
description: 基于睿观的产品图片政策合规检测，通过视觉相似度匹配识别潜在违规商品。当用户提到政策合规检查、产品图片合规、违规检测、禁售商品筛查、基于图片的合规审查、上架前风险排查、policy compliance detection, product compliance review, violation detection, image compliance check, product image risk screening, Ruiguan时触发此技能。即使用户未明确说"合规"，只要其需求涉及将产品图片与违规数据库进行比对，也应触发此技能。
---

# Ruiguan Policy Compliance Image Detection

This skill guides you on how to use the Ruiguan policy compliance detection tool to identify potential policy violations in product images. It performs image-based similarity search against a known database of prohibited products.

## Core Concepts

Ruiguan Policy Compliance Image Detection is an image-based compliance screening service. Given a product image URL, it searches for visually similar products in a database of known policy-violating items. The tool returns matching violations ranked by visual similarity.

**Similarity score (cosine)**: A value between 0 and 1. Higher values indicate stronger visual resemblance to known violating products. A score close to 1.0 means the product image is nearly identical to a flagged violation.

## Parameter Guide

| Parameter | Type | Required | Description | Example |
|-----------|------|----------|-------------|---------|
| Image URL | imageUrl | Yes | The URL of the product image to check (max 1000 chars) | https://example.com/product.jpg |

**Key notes:**
- The image URL must be publicly accessible
- Supported formats include common image types (JPG, PNG, etc.)
- The URL must not exceed 1000 characters

## Response Fields

| Field | API Name | Description |
|-------|----------|-------------|
| Total Matches | total | Number of matching violation records found |
| Violation List | data | Array of matched violating products |
| Violation Image | pdImgOssUrl | Image URL of the matched violating product |
| Similarity Score | cosine | Similarity between the input image and the violation (0~1) |
| Product Title (EN) | pdTitle | English title of the matched violating product |
| Product Title (CN) | pdTitleCHNCensored | Chinese title of the matched violating product |
| Detection ID | detectId | Unique identifier for this detection session |
| Token Cost | costToken | Number of tokens consumed by this request |

## 调用方式

- **API 端点**：`POST /ruiguan/gunPartsSearch`（完整参数/响应/错误码见 `references/api.md`）
- **Python 脚本**：`python scripts/ruiguan_image_compliance_search.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-ruiguan-gun-parts-search-<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 j

_meta.json

{
  "ownerId": "kn7dmc1t4j28hem1twwyav85p182pb1j",
  "slug": "linkfox-ruiguan-gun-parts-search",
  "version": "1.0.7",
  "publishedAt": 1789363409807
}

references/api.md

# 睿观-图片合规检测 API 参考

## 调用规范

- **请求地址**：`${LINKFOX_TOOL_GATEWAY}/ruiguan/gunPartsSearch`
- **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 |
|------|------|------|------|
| imageUrl | string | 是 | 待检测的产品图片URL（最大长度 1000 字符） |


## 响应结构

| 字段 | 类型 | 说明 |
|------|------|------|
| total | integer | 记录数 |
| data | array | 检测出的政策违规产品列表（详见下方） |
| detectId | string | 检测记录 id |
| columns | array | 渲染的列 |
| costToken | integer | 消耗token |
| type | string | 渲染的样式 |

### data 数组元素字段

| 字段 | 类型 | 说明 |
|------|------|------|
| pdImgOssUrl | string | 匹配到的违规产品图片 URL |
| cosine | number | 检测产品与违规产品相似度 |
| pdTitle | string | 匹配到的违规产品标题 |
| pdTitleCHNCensored | string | 匹配到的违规产品中文标题 |

## 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 | 算力或余额不足 | 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/ruiguan/gunPartsSearch \
  -H "Authorization: $LINKFOXAGENT_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"imageUrl": "https://example.com/product-image.jpg"}'
```

---

## 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-xxx-xxx",
  "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` (suggestion without emotion), `NEGATIVE` (complaint or error)
- `category`: Choose ONE — `BUG` (malfunction or wrong data), `COMPLAINT` (user dissatisfaction), `SUGGESTION` (improvement idea), `OTHER`
- `content`: Include what the user said or intended, what actually happened, and why it is a problem or praise

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:

Screens publicly accessible product image URLs with Ruiguan visual-similarity search to identify matches against known policy-violating products.

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 e-commerce operators, marketplace teams, and compliance reviewers use this skill to pre-screen product images for possible policy risk before listing or review. It helps compare a submitted image with known prohibited-product records and presents similarity-ranked matches for human review.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Product images and detection requests are sent to LinkFox services, and local image uploads create publicly accessible URLs.

Mitigation: Prefer already-public product images, avoid confidential local files, and submit local images only when a temporary public URL is acceptable.

Risk: The skill handles API keys, account setup, billing, and payment-related onboarding flows.

Mitigation: Verify LINKFOX_* endpoint variables before use, keep API keys private, and start phone, SMS, or payment flows only when the user explicitly intends to do so.

Risk: Full API responses are saved locally and may include sensitive image URLs, match details, detection identifiers, or account-adjacent data.

Mitigation: Treat saved response files as sensitive, avoid unnecessary inline output for confidential results, and clean up local LinkFox output directories according to the user's retention requirements.

Risk: Feedback reporting can transmit information about skill behavior or user reactions to LinkFox.

Mitigation: Do not include secrets, private images, or confidential business context in feedback content.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/linkfox-ai/skills/linkfox-ruiguan-gun-parts-search)
- [Publisher profile](https://clawhub.ai/user/linkfox-ai)
- [Ruiguan image compliance API reference](references/api.md)
- [Authentication and billing onboarding](references/onboarding.md)

## Skill Output:

**Output Type(s):** [Text, Markdown, JSON, Shell commands, Configuration, Guidance]

**Output Format:** [Markdown result summaries with optional JSON response files and shell commands]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Uses a single imageUrl input, writes full API responses to local JSON files, may summarize large responses, and can upload supported local image files to obtain a temporary public URL.]

## Skill Version(s):

1.0.7 (source: server release metadata)

## 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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