← 返回 Skills 市场
linkfox-ai

Ruiguan Copyright

作者 linkfox-ai · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
84
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install linkfox-ruiguan-copyright
功能描述
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,...
使用说明 (SKILL.md)

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.

API Usage

This tool calls the LinkFox tool gateway API. See references/api.md for calling conventions, request parameters, and response structure. You can also execute scripts/ruiguan_copyright_detection.py directly to run queries.

Usage Examples

1. Basic Copyright Check for a Single Image User: "Check if this image has any copyright issues: https://example.com/my-image.jpg" Action: Call with imageUrl set to the provided URL, using defaults for other parameters.

2. Quick Scan with Fewer Results User: "Do a quick copyright scan on this product image, I just need the top matches: https://example.com/product.png" Action: Call with topNumber set to 10 for faster results.

3. Thorough Audit with Maximum Results User: "I need a full copyright audit on this design: https://example.com/design.jpg" Action: Call with topNumber set to 200 for the most comprehensive scan.

4. Similarity-Only Check (No Radar) User: "Just check the similarity of this image against copyrighted works, no need for detailed infringement analysis: https://example.com/photo.jpg" Action: Call with enableRadar set to false.

5. Batch Checking (Multiple Images) User: "Check these three images for copyright: url1, url2, url3" Action: Call the API once for each image URL and consolidate results.

Display Rules

  1. Present data clearly: Show detection results in a well-structured table. Key columns to display include: similarity score, rights owner, copyright code, radar result, TRO history, and copyright source link.
  2. Highlight high-risk results: When similarity is high (e.g., >= 0.80) or radar detection flags infringement (subRadarResult = 1), clearly mark these as high-risk entries.
  3. TRO warnings: When troCase or troHolder is true, prominently warn the user about existing TRO litigation history associated with the rights owner.
  4. Image previews: When path or pathThumb URLs are available, mention that thumbnail previews of the copyrighted works can be viewed at those URLs.
  5. Result count notice: Inform the user of the total number of matches found. If many results are returned, show the most relevant (highest similarity) entries first.
  6. Error handling: When a request fails, explain the reason and suggest checking that the image URL is publicly accessible and correctly formatted.
  7. No legal advice: Present detection results factually. Do not provide legal conclusions — recommend the user consult legal counsel for definitive copyright assessments.

Important Limitations

  • Image URL required: The tool accepts image URLs only, not local file uploads. The image must be publicly accessible.
  • URL length: The image URL must not exceed 1000 characters.
  • Result cap: A maximum of 200 results can be returned per query.
  • Detection scope: Results are limited to the copyrighted works database maintained by the detection service.

User Expression & Scenario Quick Reference

Applicable -- Image copyright risk assessment:

User Says Scenario
"Check if this image has copyright issues" Basic copyright detection
"Is this image safe to use" Infringement risk check
"Find similar copyrighted images" Copyright similarity search
"Does this image have TRO risk" TRO litigation risk analysis
"Who owns the copyright for this image" Rights owner lookup
"Copyright audit for product images" Batch copyright compliance check
"Is this design original or copied" Originality verification

Not applicable -- Needs beyond image copyright detection:

  • Trademark or patent searches
  • Text or music copyright checks
  • Image editing or modification
  • Reverse image search for non-copyright purposes
  • Legal advice or litigation strategy

Feedback:

Auto-detect and report feedback via the Feedback API when any of the following apply:

  1. The functionality or purpose described in this skill does not match actual behavior
  2. The skill's results do not match the user's intent
  3. The user expresses dissatisfaction or praise about this skill
  4. Anything you believe could be improved

Call the feedback API as specified in references/api.md. Do not interrupt the user's flow.


For more high-quality, professional cross-border e-commerce skills, set LinkFox Skills.

安全使用建议
What to check before installing: - Be aware the skill sends the image URL and parameters to an external service at tool-gateway.linkfox.com (and has a separate feedback endpoint at skill-api.linkfox.com). Any image URL you provide will be transmitted to that service — avoid private/internal URLs or images containing sensitive data. - The included script and API docs require an environment variable LINKFOXAGENT_API_KEY (used in the Authorization header). The skill metadata does not declare this; confirm you trust the API provider and understand where to obtain/store the key before supplying it. - Confirm the provider/domain (tool-gateway.linkfox.com) is legitimate for your organization and review their privacy/data-retention and legal terms if you will submit user images. - If you need stronger assurance, ask the author for a homepage or publisher identity, request that the skill manifest be updated to declare LINKFOXAGENT_API_KEY in requires.env, and verify any service endpoints and credential issuance process. Why I rated this suspicious: the implementation matches the claimed purpose, but the omission of the required API credential in the declared metadata is a non-trivial inconsistency that affects security review and user expectations. If the manifest explicitly declared the API key requirement and the provider identity were clear, this would likely be classified as benign. Additional information that would raise confidence: an explicit requires.env listing LINKFOXAGENT_API_KEY, a verified homepage or publisher, and documentation on data handling by the external API.
功能分析
Type: OpenClaw Skill Name: linkfox-ruiguan-copyright Version: 1.0.0 The skill bundle is a legitimate tool for image copyright detection using the Ruiguan API via the LinkFox gateway. The Python script (ruiguan_copyright_detection.py) correctly implements API communication using standard libraries, enforces parameter constraints, and handles authentication via environment variables. The instructions in SKILL.md are well-aligned with the stated purpose and do not contain any malicious prompt injection or unauthorized data access requests.
能力评估
Purpose & Capability
The skill's name, description, SKILL.md, API reference, and included Python script all consistently implement an image copyright detection workflow against the LinkFox tool-gateway API. That capability matches the stated purpose. However, the manifest metadata claims no required environment variables while the provided API reference and script require an API key (LINKFOXAGENT_API_KEY). The missing declaration is an inconsistency.
Instruction Scope
Runtime instructions focus on calling the LinkFox API with a public image URL and returning similarity / TRO / radar results; they do not instruct reading unrelated local files. The one scope issue: both references/api.md and scripts/ruiguan_copyright_detection.py require an Authorization API key from the environment, but SKILL.md/manifest do not list that env var as required.
Install Mechanism
This is instruction-only plus a small helper script; there is no install spec, no downloads, and no archive extraction. No elevated install risk detected.
Credentials
The code and API docs require an API key (LINKFOXAGENT_API_KEY) passed in the Authorization header to the external endpoint https://tool-gateway.linkfox.com. The skill metadata however lists no required env vars or primary credential. Requiring an API key for the external service is reasonable for the stated purpose, but omitting it from the declared requirements is a misalignment that could hide credential needs from users and reviewers.
Persistence & Privilege
The skill does not request always:true, does not modify other skills, and has no install-time persistence. It can be invoked autonomously by default (platform default), which is normal; no extra privileges were requested.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install linkfox-ruiguan-copyright
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /linkfox-ruiguan-copyright 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release
元数据
Slug linkfox-ruiguan-copyright
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Ruiguan Copyright 是什么?

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,... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 84 次。

如何安装 Ruiguan Copyright?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install linkfox-ruiguan-copyright」即可一键安装,无需额外配置。

Ruiguan Copyright 是免费的吗?

是的,Ruiguan Copyright 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Ruiguan Copyright 支持哪些平台?

Ruiguan Copyright 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Ruiguan Copyright?

由 linkfox-ai(@linkfox-ai)开发并维护,当前版本 v1.0.0。

💬 留言讨论