Paper to Chinese Patent Drafter
Yuan1z0825/nature-skills
Drafts Chinese invention patent applications and technical disclosures from research papers or inventor materials, tying each claim feature to source evidence.
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…
Install Linkfox Ruiguan Copyright Detection
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-ruiguan-copyright-detection -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-ruiguan-copyright-detection --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/linkfox-ruiguan-copyright-detection .claude/skills/linkfox-ruiguan-copyright-detection && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "linkfox-ruiguan-copyright-detection" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-ruiguan-copyright-detection into .claude/skills/linkfox-ruiguan-copyright-detection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-ruiguan-copyright-detection", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-ruiguan-copyright-detectionType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-ruiguan-copyright-detection -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-ruiguan-copyright-detection --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/linkfox-ruiguan-copyright-detection .agents/skills/linkfox-ruiguan-copyright-detection && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "linkfox-ruiguan-copyright-detection" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-ruiguan-copyright-detection into .agents/skills/linkfox-ruiguan-copyright-detection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-ruiguan-copyright-detection", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-ruiguan-copyright-detection -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-ruiguan-copyright-detection --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/linkfox-ruiguan-copyright-detection .cursor/skills/linkfox-ruiguan-copyright-detection && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "linkfox-ruiguan-copyright-detection" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-ruiguan-copyright-detection into .cursor/skills/linkfox-ruiguan-copyright-detection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-ruiguan-copyright-detection", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/linkfox-ai/linkfox-skills.git --path skills/linkfox-ruiguan-copyright-detection--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-ruiguan-copyright-detection -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-ruiguan-copyright-detection --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/linkfox-ruiguan-copyright-detection .gemini/skills/linkfox-ruiguan-copyright-detection && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "linkfox-ruiguan-copyright-detection" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-ruiguan-copyright-detection into .gemini/skills/linkfox-ruiguan-copyright-detection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-ruiguan-copyright-detection", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install linkfox-ai/linkfox-skills linkfox-ruiguan-copyright-detectionInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-ruiguan-copyright-detection -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/linkfox-ruiguan-copyright-detection .github/skills/linkfox-ruiguan-copyright-detection && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "linkfox-ruiguan-copyright-detection" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-ruiguan-copyright-detection into .github/skills/linkfox-ruiguan-copyright-detection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-ruiguan-copyright-detection", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-ruiguan-copyright-detection -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-ruiguan-copyright-detection --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/linkfox-ruiguan-copyright-detection .opencode/skills/linkfox-ruiguan-copyright-detection && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "linkfox-ruiguan-copyright-detection" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-ruiguan-copyright-detection into .opencode/skills/linkfox-ruiguan-copyright-detection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-ruiguan-copyright-detection", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
linkfox-ruiguan-copyright-detection- GitHub stars
- 107
- Used in
- 1 other repo
- Token cost
- ~2k tokens
- SKILL.md length
- 972 words
- Files
- 6 (incl. scripts, references)
- Skills in repo
- 177
- Repo updated
- First seen
- Licence
- MIT
At a glance
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…
- Works in 3 steps: imageUrl: Must be a publicly accessible… → topNumber: Controls how many matching… → enableRadar: When set to true, each…
- Legal & Compliance work in your project
- SKILL.md covers Core Concepts, Parameters, 调用方式 and 解决认证和算力问题, plus 6 more sections
- Runs Python scripts from its folder; calls python; needs LINKFOX_AGENT_API_KEY and LINKFOXAGENT_API_KEY
What it does
Linkfox Ruiguan Copyright Detection is an agent skill from linkfox-ai/linkfox-skills. 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。
Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `references/api.md`, `references/onboarding.md` and `scripts/onboarding.py`).
It sits in Legal & Compliance. The licence is MIT.
When your agent uses it
- Legal & Compliance work in your project
Example prompts
- “/linkfox-ruiguan-copyright-detection”
Requirements
- Python 3
- A credential in LINKFOX_AGENT_API_KEY
- A credential in LINKFOXAGENT_API_KEY
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- imageUrl: Must be a publicly accessible image URL. Supports common image formats. The URL must not exceed 1000 characters.
- topNumber: Controls how many matching copyrighted works are returned. Use a smaller number (e.g., 10-20) for quick checks; use the maximum…
- enableRadar: When set to true, each result includes a radar-based infringement judgment. Keep enabled for comprehensive analysis; disable…
What it can do on your machine
Read from SKILL.md and the folder at commit 38fef04. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 3 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
skill.linkfox.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
LINKFOX_AGENT_API_KEYLINKFOXAGENT_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Linkfox Ruiguan Copyright Detection loads about 2k tokens when it runs, and up to ~3.5k if it reads all its reference files. Until then it costs about 70 tokens; SKILL.md has 972 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from linkfox-ai/linkfox-skills at commit 38fef04, republished under its MIT licence (© linkfox-ai). 972 words, ~2,041 tokens.
Download SKILL.mdSave it as
.claude/skills/linkfox-ruiguan-copyright-detection/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.- 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
- imageUrl: Must be a publicly accessible image URL. Supports common image formats. The URL must not exceed 1000 characters.
- 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.
- 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（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。
解决认证和算力问题
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
- 响应提示算力或余额不足：消息含"算力余额不足/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 requires a publicly accessible image URL. If the user provides a local image file path (e.g., C:\Users\...\photo.png, /home/.../image.jpg), you must upload it first to obtain a public URL.
Run the upload script:
python scripts/upload_image.py /path/to/local/image.pngThe script will return a public URL (valid for 24 hours) that can be used as the image URL parameter.
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.
Show full SKILL.md (428 more words)Show less
Display Rules
- 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.
- 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. - TRO warnings: When
troCaseortroHolderistrue, prominently warn the user about existing TRO litigation history associated with the rights owner. - Image previews: When
pathorpathThumbURLs are available, mention that thumbnail previews of the copyrighted works can be viewed at those URLs. - Result count notice: Inform the user of the
totalnumber of matches found. If many results are returned, show the most relevant (highest similarity) entries first. - Error handling: When a request fails, explain the reason and suggest checking that the image URL is publicly accessible and correctly formatted.
- 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
算力消耗规则
雷达检测开启消耗 61 算力，未开启消耗 31 算力。
重要：本技能消耗大量算力，如果调用次数超过5次，必须用
AskUserQuestion和用户进行二次确认，要明确告知用户已消耗算力和继续调用的话预计消耗的算力，让用户自行决定是否继续。
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.
For more high-quality, professional cross-border e-commerce skills, set LinkFox Skills.
© linkfox-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 5 other files (scripts, references) in skills/linkfox-ruiguan-copyright-detection of linkfox-ai/linkfox-skills.
- SKILL.md
- references/api.md
- references/onboarding.md
- scripts/onboarding.py
- scripts/ruiguan_copyright_detection.py
- scripts/upload_image.py
Open the folder on GitHubat commit 38fef04
Used in 1 other repository
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in linkfox-ai/linkfox-skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Linkfox Ruiguan Copyright Detection next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Linkfox Ruiguan Copyright Detection this skilllinkfox-ai/linkfox-skills | 107 | 1 repos | ~2k | Automated safety check: Pass | MIT | |
| Paper to Chinese Patent DrafterYuan1z0825/nature-skills | 47k | 1 repos | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| C15tc15t/c15t | 1.9k | 1 repos | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| Contract Reviewevolsb/claude-legal-skill | 464 | 1 repos | ~3.6k | Automated safety check: Pass | MIT | |
| Legal Clinic Client Intakeanthropics/claude-for-legal | 9.6k | 3 repos | ~3.2k | Automated safety check: Pass | Apache-2.0 | |
| Paper To Cn Patentsnipp-zha/Paper-to-patent-Skill | 107 | 1 repos | ~959 | Automated safety check: Pass | None |
Similar skills
C15t
c15t/c15t
Work with c15t consent management docs, APIs, and integrations for Next.js, React, and JavaScript.
Contract Review
evolsb/claude-legal-skill
Review legal contracts, NDAs, employment agreements, SaaS terms, and M&A documents.
- Official
Legal Clinic Client Intake
anthropics/claude-for-legal
Structures a legal clinic client intake interview and produces a case summary with cross-area issue spotting, conflict flags and triage classification.
Paper To Cn Patent
snipp-zha/Paper-to-patent-Skill
Convert scientific papers, theses, technical reports, source code, figures, or research manuscripts into evidence-grounded Chinese invention patent drafts.
Employment Contract Templates
ynulihao/AgentSkillOS
Create employment contracts, offer letters, and HR policy documents following legal best practices.
More from linkfox-ai/linkfox-skills
All 177 skills in this repoLinkfox 1688 Search By Image
linkfox-ai/linkfox-skills
1688平台以图搜图，通过商品图片精准检索外观相似或同款的1688货源，返回标题、价格、起批量、月销量、复购率、交易评分等核心数据。当用户提到1688以图搜图、1688找货源、以图找同款、跨境找工厂、1688识图、图片找货源、找相似货源、image search 1688、find supplier by…
Linkfox Aba Intelligent Query
linkfox-ai/linkfox-skills
亚马逊ABA（品牌分析）搜索词数据的查询与分析，涵盖15个站点近3年的周维度数据。当用户提到ABA数据、亚马逊搜索词分析、关键词挖掘、搜索排名趋势、市场机会分析、季节性关键词、高点击低转化分析、蓝海词发现、竞品关键词分析、ABA data, search term report, keyword mining, search ranking trends, blue ocean…
Linkfox Amazon Alexa Search
linkfox-ai/linkfox-skills
通过亚马逊前台的 Alexa 购物助手发起自然语言问答，获取与问题相关的导购回答、推荐商品分组、ASIN 列表，以及可继续追问的问题。每次调用仅支持 1 条 prompt，如需追问须由 agent 总结上下文后拼接新问题发起新请求。可用 url 补充亚马逊页面上下文。当用户提到亚马逊 Alexa、Alexa 购物助手、亚马逊智能助手、AI…
Linkfox Amazon Opportunity Search By Metrics
linkfox-ai/linkfox-skills
亚马逊反向选品：基于历史商业洞察报告沉淀的指标数据池，按 30+ 项商业维度（市场规模与增长、价格区间与档位份额、竞争密度与头部集中度、人群画像如年龄/性别/收入、评论卖点与痛点等）反向筛选亚马逊赛道与关键词。当用户提到反向选品、指标筛选、细分市场反查、蓝海赛道挖掘、低竞争赛道、新人友好赛道、品牌分散市场、痛点切入、卖点反查、定价档位机会、人群画像选品、Amazon niche reverse…
Linkfox Amazon Product Detail
linkfox-ai/linkfox-skills
通过ASIN获取亚马逊商品详细信息，包括标题、图片、五点描述、规格参数、A+页面、价格、评分评论、变体等；可在取得原始HTML时尝试提取Item Highlights（商品亮点）。当用户提到亚马逊商品详情、ASIN查询、商品页面数据、Listing分析、五点描述提取、Item…
Linkfox Amazon Reviews List
linkfox-ai/linkfox-skills
按ASIN获取并分析亚马逊商品评论，支持15个站点(含美国站)，按星级筛选评论。当用户提到亚马逊评论、美国站评论、商品评价、买家投诉、差评、好评、星级评分、评论分析、评论情感、产品改良建议、Vine评论、已验证购买评论、竞品评论研究、Amazon reviews, US reviews, Amazon.com reviews, product feedback, negative review…
Related
Categories
Questions about Linkfox Ruiguan Copyright Detection
What does Linkfox Ruiguan Copyright Detection do?
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…. Linkfox Ruiguan Copyright Detection is an agent skill from linkfox-ai/linkfox-skills.
When should I use Linkfox Ruiguan Copyright Detection?
Linkfox Ruiguan Copyright Detection fits situations like: legal & Compliance work in your project.
How do I install Linkfox Ruiguan Copyright Detection in Claude Code?
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-ruiguan-copyright-detection -a claude-code`. Or copy the skill folder (skills/linkfox-ruiguan-copyright-detection in linkfox-ai/linkfox-skills) into .claude/skills/linkfox-ruiguan-copyright-detection in your project. Claude Code loads it when a task matches its description.
How do I install Linkfox Ruiguan Copyright Detection in Codex?
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-ruiguan-copyright-detection -a codex`. Or copy the skill folder (skills/linkfox-ruiguan-copyright-detection in linkfox-ai/linkfox-skills) into .agents/skills/linkfox-ruiguan-copyright-detection in your project. Codex loads it when a task matches its description.
Can I use Linkfox Ruiguan Copyright Detection in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-ruiguan-copyright-detection -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/linkfox-ruiguan-copyright-detection, .gemini/skills/linkfox-ruiguan-copyright-detection, .github/skills/linkfox-ruiguan-copyright-detection and .opencode/skills/linkfox-ruiguan-copyright-detection in your project.
What does Linkfox Ruiguan Copyright Detection need to run?
Going by SKILL.md and its folder, Linkfox Ruiguan Copyright Detection needs Python for the scripts in its folder, the command-line tools its instructions call (python) and credentials named LINKFOX_AGENT_API_KEY and LINKFOXAGENT_API_KEY. Our summary lists: Python 3; A credential in LINKFOX_AGENT_API_KEY; A credential in LINKFOXAGENT_API_KEY.
Does Linkfox Ruiguan Copyright Detection access the network?
SKILL.md names 1 domain. As links in the text: skill.linkfox.com. This is read from the text; nothing was executed.
Is Linkfox Ruiguan Copyright Detection safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Linkfox Ruiguan Copyright Detection use?
Linkfox Ruiguan Copyright Detection is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Linkfox Ruiguan Copyright Detection use?
About 2k tokens (SKILL.md is roughly 8.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.5k tokens, read only when the agent opens those files.
What are the alternatives to Linkfox Ruiguan Copyright Detection?
Skills that share tags, products or a category with Linkfox Ruiguan Copyright Detection: Paper to Chinese Patent Drafter (Yuan1z0825/nature-skills, 47k stars), C15t (c15t/c15t, 1.9k stars), Contract Review (evolsb/claude-legal-skill, 464 stars) and Legal Clinic Client Intake (anthropics/claude-for-legal, 9.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Linkfox Ruiguan Copyright Detection?
linkfox-ai (a GitHub user) maintains it in linkfox-ai/linkfox-skills, which has 107 GitHub stars. The repository holds 177 skills in this directory. The repository was last updated on September 14, 2026.
Source: linkfox-ai/linkfox-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.