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Yuan1z0825/nature-skills
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产品图片的图形商标检测与相似度搜索。当用户提到商标检测、图形商标搜索、Logo侵权检查、商标相似度分析、图片商标风险评估、产品图片商标筛查、graphic trademark detection, logo infringement, trademark similarity, trademark risk, image trademark screening…
Install Linkfox Ruiguan Trademark Graphic Detection
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-ruiguan-trademark-graphic-detection -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-ruiguan-trademark-graphic-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-trademark-graphic-detection .claude/skills/linkfox-ruiguan-trademark-graphic-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-trademark-graphic-detection" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-ruiguan-trademark-graphic-detection into .claude/skills/linkfox-ruiguan-trademark-graphic-detection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-ruiguan-trademark-graphic-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-trademark-graphic-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-trademark-graphic-detection -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-ruiguan-trademark-graphic-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-trademark-graphic-detection .agents/skills/linkfox-ruiguan-trademark-graphic-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-trademark-graphic-detection" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-ruiguan-trademark-graphic-detection into .agents/skills/linkfox-ruiguan-trademark-graphic-detection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-ruiguan-trademark-graphic-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-trademark-graphic-detection -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-ruiguan-trademark-graphic-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-trademark-graphic-detection .cursor/skills/linkfox-ruiguan-trademark-graphic-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-trademark-graphic-detection" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-ruiguan-trademark-graphic-detection into .cursor/skills/linkfox-ruiguan-trademark-graphic-detection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-ruiguan-trademark-graphic-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-trademark-graphic-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-trademark-graphic-detection -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-ruiguan-trademark-graphic-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-trademark-graphic-detection .gemini/skills/linkfox-ruiguan-trademark-graphic-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-trademark-graphic-detection" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-ruiguan-trademark-graphic-detection into .gemini/skills/linkfox-ruiguan-trademark-graphic-detection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-ruiguan-trademark-graphic-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-trademark-graphic-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-trademark-graphic-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-trademark-graphic-detection .github/skills/linkfox-ruiguan-trademark-graphic-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-trademark-graphic-detection" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-ruiguan-trademark-graphic-detection into .github/skills/linkfox-ruiguan-trademark-graphic-detection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-ruiguan-trademark-graphic-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-trademark-graphic-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-trademark-graphic-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-trademark-graphic-detection .opencode/skills/linkfox-ruiguan-trademark-graphic-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-trademark-graphic-detection" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-ruiguan-trademark-graphic-detection into .opencode/skills/linkfox-ruiguan-trademark-graphic-detection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-ruiguan-trademark-graphic-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-trademark-graphic-detection- GitHub stars
- 107
- Used in
- 1 other repo
- Token cost
- ~2.1k tokens
- SKILL.md length
- 913 words
- Files
- 6 (incl. scripts, references)
- Skills in repo
- 177
- Repo updated
- First seen
- Licence
- MIT
At a glance
产品图片的图形商标检测与相似度搜索。当用户提到商标检测、图形商标搜索、Logo侵权检查、商标相似度分析、图片商标风险评估、产品图片商标筛查、graphic trademark detection, logo infringement, trademark similarity, trademark risk, image trademark screening…
- Works in 7 steps: Present results clearly: Show detection… → Highlight high-risk matches: When… → Explain trademark status: When showing… → …
- Tasks that involve Intellectual property
- SKILL.md covers Core Concepts, Parameter Guide, Local Image Upload and Usage Examples, 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 Trademark Graphic Detection is an agent skill from linkfox-ai/linkfox-skills. 产品图片的图形商标检测与相似度搜索。当用户提到商标检测、图形商标搜索、Logo侵权检查、商标相似度分析、图片商标风险评估、产品图片商标筛查、graphic trademark detection, logo infringement, trademark similarity, trademark risk, image trademark screening, Ruiguan时触发此技能。即使用户未明确说"商标检测"，只要其需求涉及将产品图片与已注册的图形商标进行比对或评估商标侵权风险，也应触发此技能。
Its SKILL.md is about 2.1k 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, covering Intellectual property. The licence is MIT.
When your agent uses it
- Tasks that involve Intellectual property
Example prompts
- “/linkfox-ruiguan-trademark-graphic-detection”
Requirements
- Python 3
- A credential in LINKFOX_AGENT_API_KEY
- A credential in LINKFOXAGENT_API_KEY
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Present results clearly: Show detection results in a well-structured table including trademark image, similarity score, trademark name…
- Highlight high-risk matches: When similarity is above 0.8, explicitly warn the user about high infringement risk
- Explain trademark status: When showing results, clarify what each trademark status means for the user's risk assessment
- Radar results: If radarResult is present in the response, display it prominently as it contains aggregated risk assessment
- Sub-radar results: If individual items contain subRadarResult, include this information alongside each match
- Region context: Always indicate which regions were searched so the user understands the scope of the check
- Error handling: When a detection fails, explain the reason based on the response and suggest adjustments (e.g., using a clearer image…
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 Trademark Graphic Detection loads about 2.1k tokens when it runs, and up to ~3.8k if it reads all its reference files. Until then it costs about 75 tokens; SKILL.md has 913 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). 913 words, ~2,098 tokens.
Download SKILL.mdSave it as
.claude/skills/linkfox-ruiguan-trademark-graphic-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-trademark-graphic-detection
- description
- 产品图片的图形商标检测与相似度搜索。当用户提到商标检测、图形商标搜索、Logo侵权检查、商标相似度分析、图片商标风险评估、产品图片商标筛查、graphic trademark detection, logo infringement, trademark similarity, trademark risk, image trademark screening, Ruiguan时触发此技能。即使用户未明确说"商标检测"，只要其需求涉及将产品图片与已注册的图形商标进行比对或评估商标侵权风险，也应触发此技能。
Ruiguan Graphic Trademark Detection
This skill guides you on how to detect graphic trademarks in product images, helping e-commerce sellers and brand owners identify potential trademark infringement risks before listing products.
Core Concepts
Graphic trademark detection analyzes a product image to find visually similar registered trademarks across multiple countries and regions. The tool uses YOLO-based object detection to locate logo-like regions in the image, then compares them against trademark databases worldwide.
Similarity score: A higher similarity value means the detected graphic is more visually similar to the registered trademark. Values closer to 1.0 indicate near-identical matches and higher infringement risk.
Trademark status meanings:
| Status | Meaning |
|---|---|
| registered | Trademark is actively registered |
| act | Trademark is active |
| pend | Trademark application is pending |
| filed | Trademark application has been filed |
| ended | Trademark has expired |
| DEL | Trademark has been deleted/cancelled |
Parameter Guide
| Parameter | Required | Description | Default |
|---|---|---|---|
| imageUrl | Yes | Publicly accessible HTTP(S) product image URL (maximum 1000 characters). The service downloads and converts it to Base64; do not pass Base64 directly. | - |
| topNumber | Yes | Maximum number of detection results to return (1-100) | 5 |
| productTitle | No | Product title, helps improve detection accuracy | - |
| trademarkName | No | Suspected logo name, helps narrow down results | - |
| regions | No | Country/region codes to check, comma-separated. If omitted, all countries are searched | All |
| enableLocalizing | No | Whether to enable image cropping for detected regions | false |
| enableRadar | No | Whether to enable radar monitoring | true |
Supported Regions
US (United States), WO (WIPO), ES (Spain), GB (United Kingdom), DE (Germany), IT (Italy), CA (Canada), MX (Mexico), EM (European Union), AU (Australia), FR (France), JP (Japan), TR (Turkey), BX (Benelux), CN (China)
When the user does not specify a region, omit the regions parameter so all countries are searched by default.
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 image trademark check Detect trademarks in a product image across all regions, returning up to 10 results:
imageUrl: "https://example.com/product-image.jpg"
topNumber: 102. Region-specific trademark check Check a product image against US and EU trademark databases only:
imageUrl: "https://example.com/product-image.jpg"
topNumber: 5
regions: "US,EM"3. Detailed check with product context Provide product title and suspected logo name for more accurate detection:
imageUrl: "https://example.com/product-image.jpg"
topNumber: 10
productTitle: "Wireless Bluetooth Headphones with Noise Cancellation"
trademarkName: "SonicWave"
regions: "US,GB,DE"4. Full detection with image cropping Enable localizing to get cropped images of detected logo regions:
imageUrl: "https://example.com/product-image.jpg"
topNumber: 20
enableLocalizing: true
regions: "US"调用方式
- API 端点：
POST /ruiguan/trademarkGraphicDetection（完整参数/响应/错误码见references/api.md） - Python 脚本：
python scripts/ruiguan_trademark_graphic_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-trademark-graphic-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。
Display Rules
- Present results clearly: Show detection results in a well-structured table including trademark image, similarity score, trademark name, status, registration office, Nice classification, applicant name, and key dates
- Highlight high-risk matches: When similarity is above 0.8, explicitly warn the user about high infringement risk
- Explain trademark status: When showing results, clarify what each trademark status means for the user's risk assessment
- Radar results: If
radarResultis present in the response, display it prominently as it contains aggregated risk assessment - Sub-radar results: If individual items contain
subRadarResult, include this information alongside each match - Region context: Always indicate which regions were searched so the user understands the scope of the check
- Error handling: When a detection fails, explain the reason based on the response and suggest adjustments (e.g., using a clearer image, specifying regions, adjusting topNumber)
Show full SKILL.md (303 more words)Show less
Important Limitations
- Image requirement: The
imageUrlparameter is mandatory; the tool cannot perform detection without an image - Result cap: The
topNumberparameter caps at 100 results per request - Image quality: Detection accuracy depends on image resolution and clarity; higher quality images yield better results
- Region coverage: Not all countries are covered; the supported list includes 15 major trademark offices
User Expression & Scenario Quick Reference
Applicable -- Graphic trademark detection tasks:
| User Says | Scenario |
|---|---|
| "Check if this image has trademark issues" | Basic trademark detection |
| "Is this logo registered anywhere" | Multi-region trademark search |
| "Trademark risk for my product image" | Product listing risk assessment |
| "Find similar trademarks to this graphic" | Similarity search |
| "Check this image against US trademarks" | Region-specific detection |
| "Does this design infringe any trademark" | Infringement risk check |
| "Scan my product photo for logos" | Logo detection in product images |
Not applicable -- Needs beyond graphic trademark detection:
- Text/word trademark search (no image involved)
- Trademark registration or filing
- Patent or copyright checks
- Legal advice on trademark disputes
- Product listing optimization
Boundary judgment: When users say "check my product" or "is this safe to sell", if the concern relates to graphic elements or logos in product images potentially infringing registered trademarks, this skill applies. If they are asking about text trademarks, patent issues, or general legal compliance, it does not apply.
算力消耗规则
雷达检测开启消耗 92 算力，未开启消耗 61 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-trademark-graphic-detection of linkfox-ai/linkfox-skills.
- SKILL.md
- references/api.md
- references/onboarding.md
- scripts/onboarding.py
- scripts/ruiguan_trademark_graphic_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 Trademark Graphic 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 Trademark Graphic Detection this skilllinkfox-ai/linkfox-skills | 107 | 1 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Paper to Chinese Patent DrafterYuan1z0825/nature-skills | 47k | 1 repos | ~1.1k | 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 | |
| Patent Examinegfodor/legal-skills | 393 | — | ~4.8k | Automated safety check: Pass | GPL-3.0 | |
| Patent Auditgfodor/legal-skills | 393 | — | ~2.9k | Automated safety check: Pass | GPL-3.0 | |
| Replica BrandJakeschincariol/replica-skill | 1.4k | — | ~1.1k | Automated safety check: Pass | MIT |
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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…
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Questions about Linkfox Ruiguan Trademark Graphic Detection
What does Linkfox Ruiguan Trademark Graphic Detection do?
产品图片的图形商标检测与相似度搜索。当用户提到商标检测、图形商标搜索、Logo侵权检查、商标相似度分析、图片商标风险评估、产品图片商标筛查、graphic trademark detection, logo infringement, trademark similarity, trademark risk, image trademark screening…. Linkfox Ruiguan Trademark Graphic Detection is an agent skill from linkfox-ai/linkfox-skills.
When should I use Linkfox Ruiguan Trademark Graphic Detection?
Linkfox Ruiguan Trademark Graphic Detection fits situations like: tasks that involve Intellectual property.
How do I install Linkfox Ruiguan Trademark Graphic Detection in Claude Code?
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-ruiguan-trademark-graphic-detection -a claude-code`. Or copy the skill folder (skills/linkfox-ruiguan-trademark-graphic-detection in linkfox-ai/linkfox-skills) into .claude/skills/linkfox-ruiguan-trademark-graphic-detection in your project. Claude Code loads it when a task matches its description.
How do I install Linkfox Ruiguan Trademark Graphic Detection in Codex?
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-ruiguan-trademark-graphic-detection -a codex`. Or copy the skill folder (skills/linkfox-ruiguan-trademark-graphic-detection in linkfox-ai/linkfox-skills) into .agents/skills/linkfox-ruiguan-trademark-graphic-detection in your project. Codex loads it when a task matches its description.
Can I use Linkfox Ruiguan Trademark Graphic 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-trademark-graphic-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-trademark-graphic-detection, .gemini/skills/linkfox-ruiguan-trademark-graphic-detection, .github/skills/linkfox-ruiguan-trademark-graphic-detection and .opencode/skills/linkfox-ruiguan-trademark-graphic-detection in your project.
What does Linkfox Ruiguan Trademark Graphic Detection need to run?
Going by SKILL.md and its folder, Linkfox Ruiguan Trademark Graphic 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 Trademark Graphic 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 Trademark Graphic 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 Trademark Graphic Detection use?
Linkfox Ruiguan Trademark Graphic 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 Trademark Graphic Detection use?
About 2.1k tokens (SKILL.md is roughly 8.4k 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 1.7k tokens, read only when the agent opens those files.
What are the alternatives to Linkfox Ruiguan Trademark Graphic Detection?
Skills that share tags, products or a category with Linkfox Ruiguan Trademark Graphic Detection: Paper to Chinese Patent Drafter (Yuan1z0825/nature-skills, 47k stars), Paper To Cn Patent (snipp-zha/Paper-to-patent-Skill, 107 stars), Patent Examine (gfodor/legal-skills, 393 stars) and Patent Audit (gfodor/legal-skills, 393 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Linkfox Ruiguan Trademark Graphic 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.