What makes 睿观-版权检测 notable?

984 downloads. Trust evidence available

How should 睿观-版权检测 be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

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睿观-版权检测

图片版权侵权检测与风险分析。当用户提到版权检测、版权核查、图片侵权检查、图片版权风险、版权相似度搜索、TRO风险分析、权利人查询、版权合规验证、copyright detection, image infringement, copyright risk, TRO risk, copyright lookup, infringement analysis, Ruiguan时触发此技能。即使用户未明确提及"版权"，只要其需求涉及检查图片是否可能侵犯已登记的版权作品，也应触发此技能。 Skill: 睿观-版权检测 Owner: linkfox-ai Summary: 图片版权侵权检测与风险分析。当用户提到版权检测、版权核查、图片侵权检查、图片版权风险、版权相似度搜索、TRO风险分析、权利人查询、版权合规验证、copyright detection, image infringement, copyright risk, TRO risk, copyright lookup, infringement analysis, Ruiguan时触发此技能。即使用户未明确提及"版权"，只要其需求涉及检查图片是否可能侵犯已登记的版权作品，也应触发此技能。 Tags: latest:1.0.7 Version history: v1.0.7 | 2026-09-14T05:23:15.222Z | user Update from 1.0.6 to 1.0.7 v1.0.6 | 2026-08-14T14:58:49.18

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

984

Updated

Oct 11, 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. 984 downloads reported by the source. Last updated 10/11/2026.

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 11, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 11, 2026
Adoption signal: 984 downloadsadoption · observed Oct 11, 2026
Latest release: 1.0.7release · observed Sep 14, 2026
Handshake status: UNKNOWNsecurity

What changed

Newest first. Only changes that point at a source are listed.

Release 1.0.7release
Update from 1.0.6 to 1.0.7
Observed Sep 14, 2026 · source

Install and run

Setup complexity: low.

clawhub skill install s171g8b6m2khwdy9ye8bxj0wx183vd4z:linkfox-ruiguan-copyright-detection

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-ruiguan-copyright-detection/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

98,623 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: linkfox-ruiguan-copyright-detection
description: 图片版权侵权检测与风险分析。当用户提到版权检测、版权核查、图片侵权检查、图片版权风险、版权相似度搜索、TRO风险分析、权利人查询、版权合规验证、copyright detection, image infringement, copyright risk, TRO risk, copyright lookup, infringement analysis, Ruiguan时触发此技能。即使用户未明确提及"版权"，只要其需求涉及检查图片是否可能侵犯已登记的版权作品，也应触发此技能。
---

# Ruiguan Copyright Detection

This skill guides you on how to perform image copyright detection, helping e-commerce sellers and designers identify potential copyright infringement risks before using images.

## Core Concepts

Copyright detection works by comparing a given image against a database of registered copyrighted works. The system returns visually similar copyrighted images along with key risk indicators such as similarity score, rights owner information, TRO (Temporary Restraining Order) litigation history, and radar-based infringement assessment.

**Similarity**: A decimal string (e.g., `"0.85"`) representing how closely the input image matches a copyrighted work. Higher values indicate greater risk.

**Radar detection**: An additional layer of analysis that provides a binary infringement judgment (`1` = infringing, `0` = not infringing). When enabled, each result includes this secondary assessment.

**TRO history**: TRO (Temporary Restraining Order) is a legal mechanism commonly used in copyright enforcement. Results flagged with TRO history indicate the rights owner has previously pursued legal action, signaling elevated risk.

## Parameters

| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| imageUrl | string | Yes | - | URL of the image to check for copyright infringement (max 1000 characters) |
| topNumber | integer | No | 100 | Number of results to return (min: 10, max: 200) |
| enableRadar | boolean | No | true | Whether to enable radar-based infringement detection |

### Parameter Guidelines

1. **imageUrl**: Must be a publicly accessible image URL. Supports common image formats. The URL must not exceed 1000 characters.
2. **topNumber**: Controls how many matching copyrighted works are returned. Use a smaller number (e.g., 10-20) for quick checks; use the maximum (200) for thorough audits.
3. **enableRadar**: When set to `true`, each result includes a radar-based infringement judgment. Keep enabled for comprehensive analysis; disable only when a faster, similarity-only scan is sufficient.

## 调用方式

- **API 端点**：`POST /ruiguan/copyrightDetection`（完整参数/响应/错误码见 `references/api.md`）
- **Python 脚本**：`python scripts/ruiguan_copyright_detection.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-copyright-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

_meta.json

{
  "ownerId": "kn7dmc1t4j28hem1twwyav85p182pb1j",
  "slug": "linkfox-ruiguan-copyright-detection",
  "version": "1.0.7",
  "publishedAt": 1789363395222
}

references/api.md

# 睿观-版权检测 API 参考

## 调用规范

- **请求地址**：`${LINKFOX_TOOL_GATEWAY}/ruiguan/copyrightDetection`
- **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 | 检测的版权图片URL（最大长度1000字符） |
| topNumber | integer | 是 | 召回数量（默认100，最小10，最大200） |
| enableRadar | boolean | 是 | 是否开启雷达检测（默认 `true`） |

- `imageUrl` 必须为可公开访问的图片URL
- `topNumber` 控制返回匹配版权作品的数量，默认100，范围10-200
- `enableRadar` 开启后将进行额外的侵权雷达判定，建议设为 `true` 以获得更全面的分析

## 响应结构

| 字段 | 类型 | 说明 |
|------|------|------|
| total | integer | 记录数 |
| data | array | 检测结果列表（详见下方） |
| detectId | string | 检测id |
| columns | array | 渲染的列 |
| costToken | integer | 消耗token |
| type | string | 渲染的样式 |

### 检测结果对象（`data` 数组中的元素）

| 字段 | 类型 | 说明 |
|------|------|------|
| path | string | 版权画图片路径 |
| pathThumb | string | 版权画缩略图路径 |
| similarity | string | 相似度 |
| subRadarResult | integer | 1-侵权 0-不侵权，null 没有进行雷达检测 |
| copyrightUrl | string | 来源 |
| copyrightCode | string | 版权标识码 |
| rightsOwner | string | 权利人 |
| link | string | 版权官网链接 |
| troCase | boolean | 是否有TRO维权史 |
| troHolder | boolean | 是否是TRO权利人的版权 |

## 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/copyrightDetection \
  -H "Authorization: $LINKFOXAGENT_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "imageUrl": "https://example.com/test-image.jpg",
    "topNumber": 100,
    "enableRadar": true
  }'
```

---

## 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:

睿观-版权检测 checks publicly accessible image URLs against a copyright-work database and returns similarity, rights-owner, TRO history, and radar-based risk indicators.

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 sellers, designers, and agents use this skill to assess whether an image may resemble registered copyrighted works before reuse. It supports copyright-risk screening, rights-owner lookup, TRO-history review, and factual reporting without giving legal advice.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: The skill sends image URLs, uploaded local images, and API credentials to LinkFox/Ruiguan services.

Mitigation: Use only non-confidential images, confirm user consent before uploading local files, and store API keys in an appropriate credential store.

Risk: The security summary flags under-consented feedback reporting behavior.

Mitigation: Do not submit feedback unless the user has consented to the report content and destination.

Risk: Authentication and billing flows may involve phone verification, API key setup, account state, and payment orders.

Mitigation: Prefer self-service setup through the LinkFox agent console, avoid sharing phone or OTP values in chat when possible, and require explicit user approval before paid actions.

Risk: The skill writes full API responses and cache entries to local LinkFox session directories.

Mitigation: Review saved response files for sensitive image URLs or results and remove them when they are no longer needed.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/linkfox-ai/skills/linkfox-ruiguan-copyright-detection)
- [API reference](references/api.md)
- [Onboarding and billing guide](references/onboarding.md)
- [LinkFox skills](https://skill.linkfox.com/)
- [LinkFox agent console](https://agent.linkfox.com/)

## Skill Output:

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

**Output Format:** [Markdown summaries and tables, JSON API responses saved to local files, and shell/configuration instructions for authentication, upload, and billing flows.]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Detection calls require a public image URL or a local image uploaded to a temporary public URL; default results are cached for 24 hours and full responses are saved under a LinkFox session data directory.]

## 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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