1688 Shopkeeper
next-1688/1688-shopkeeper
1688选品铺货 + 商机趋势专家。用于：(1) 在1688搜索商品/选品找货源 (2) 查询已绑定的下游店铺 (3) 将商品铺货到抖音/拼多多/小红书/淘宝等平台 (4) 配置1688 AK密钥 (5) 查看即时商机热榜 (6) 查看类目/行业趋势与价格分布 (7) 生成店铺经营日报并输出主营商品选品建议。
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…
MITAuto-check passed
Install Linkfox 1688 Search By Image
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-1688-search-by-image -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-1688-search-by-image --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-1688-search-by-image .claude/skills/linkfox-1688-search-by-image && 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-1688-search-by-image" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-1688-search-by-image into .claude/skills/linkfox-1688-search-by-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-1688-search-by-image", 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-1688-search-by-imageType 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-1688-search-by-image -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-1688-search-by-image --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-1688-search-by-image .agents/skills/linkfox-1688-search-by-image && 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-1688-search-by-image" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-1688-search-by-image into .agents/skills/linkfox-1688-search-by-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-1688-search-by-image", 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-1688-search-by-image -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-1688-search-by-image --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-1688-search-by-image .cursor/skills/linkfox-1688-search-by-image && 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-1688-search-by-image" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-1688-search-by-image into .cursor/skills/linkfox-1688-search-by-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-1688-search-by-image", 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-1688-search-by-image--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-1688-search-by-image -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-1688-search-by-image --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-1688-search-by-image .gemini/skills/linkfox-1688-search-by-image && 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-1688-search-by-image" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-1688-search-by-image into .gemini/skills/linkfox-1688-search-by-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-1688-search-by-image", 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-1688-search-by-imageInstalls 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-1688-search-by-image -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-1688-search-by-image .github/skills/linkfox-1688-search-by-image && 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-1688-search-by-image" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-1688-search-by-image into .github/skills/linkfox-1688-search-by-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-1688-search-by-image", 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-1688-search-by-image -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-1688-search-by-image --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-1688-search-by-image .opencode/skills/linkfox-1688-search-by-image && 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-1688-search-by-image" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-1688-search-by-image into .opencode/skills/linkfox-1688-search-by-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-1688-search-by-image", 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-1688-search-by-image- GitHub stars
- 107
- Used in
- 1 other repo
- Token cost
- ~2.4k tokens
- SKILL.md length
- 1,037 words
- Files
- 6 (incl. scripts, references)
- Skills in repo
- 177
- Repo updated
- First seen
- Licence
- MIT
At a glance
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…
- Works in 3 steps: Only png, jpg, jpeg formats are… → Base64 string must be pure encoded… → Image source — one of imageUrl,…
- SKILL.md covers Core Concepts, Data Fields, Parameter Guide and 调用方式, plus 7 more sections
- Runs Python scripts from its folder; calls python; reaches m.media-amazon.com; needs LINKFOX_AGENT_API_KEY and LINKFOXAGENT_API_KEY
What it does
Linkfox 1688 Search By Image is an agent skill from 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 image时触发此技能。即使用户未明确提及"以图搜图"，只要用户提供了图片URL并希望在1688上查找匹配或相似的货源商品，也应触发此技能。
Its SKILL.md is about 2.4k 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/alibaba1688_image_search.py`).
It works with 1688. The licence is MIT.
Example prompts
- “/linkfox-1688-search-by-image”
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.
- Only png, jpg, jpeg formats are supported. webp, gif, and other formats are NOT supported.
- Base64 string must be pure encoded content WITHOUT the data:image/jpeg;base64, prefix.
- Image source — one of imageUrl, imageBase64, or imageId must be provided (at least one required).
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
Hosts in commands or code, which the agent is likely to contact:
m.media-amazon.com
Also links to:
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 1688 Search By Image loads about 2.4k tokens when it runs, and up to ~5.1k if it reads all its reference files. Until then it costs about 63 tokens; SKILL.md has 1,037 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). 1,037 words, ~2,448 tokens.
Download SKILL.mdSave it as
.claude/skills/linkfox-1688-search-by-image/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.- name
- linkfox-1688-search-by-image
- description
- 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 image时触发此技能。即使用户未明确提及"以图搜图"，只要用户提供了图片URL并希望在1688上查找匹配或相似的货源商品，也应触发此技能。
1688 Image-Based Product Search
This skill performs visual product searches on the 1688 platform using an image URL, helping cross-border sellers find visually similar supplier products for sourcing.
Core Concepts
1688 Image Search uses visual recognition to find products with similar appearance on the 1688 wholesale marketplace. It returns supplier product data including title, price, minimum order quantity, monthly sales, repurchase rate, trade score, and seller identity badges.
Data Fields
| Field | Description |
|---|---|
| offerId | Product ID on 1688 |
| title | Product title |
| imageUrl | Product main image |
| price | Wholesale price (CNY) |
| consignPrice | Dropship price (CNY) |
| salesQuantity | Monthly sales volume |
| estimatedSalesAmount | Estimated monthly revenue |
| quantityBegin | Minimum order quantity |
| repurchaseRate | Repurchase rate |
| tradeScore | Product trade score |
| compositeServiceScore | Composite service experience score |
| sellerIdentities | Seller identity (超级工厂/实力商家/诚信通会员) |
| offerIdentities | Product badge (严选) |
| sendGoodsAddressText | Shipping origin |
| deliveryTime | Delivery time (24/48 hours) |
| isOnePsale | Supports dropshipping (是/否) |
| isJxhy | Premium sourcing (是/否) |
| hasPromotion | Has promotion (是/否) |
| isPatentProduct | Patent product (是/否) |
Parameter Guide
Image Rules:
- Only png, jpg, jpeg formats are supported. webp, gif, and other formats are NOT supported.
- Base64 string must be pure encoded content WITHOUT the
data:image/jpeg;base64,prefix. - Image source — one of imageUrl, imageBase64, or imageId must be provided (at least one required).
| Parameter | Required | Default | Description |
|---|---|---|---|
| imageUrl | Conditional | - | Public image URL (max 1000 chars). Only png/jpg/jpeg formats supported |
| imageBase64 | Conditional | - | Pure Base64 encoded image string, without data:image/...;base64, prefix. Only png/jpg/jpeg supported |
| imageId | Conditional | - | 1688 image ID from previous search result (speeds up pagination) |
| page | No | 1 | Page number, starting from 1 |
| pageSize | No | 20 | Results per page (1-50) |
| priceStart | No | - | Min price filter (CNY) |
| priceEnd | No | - | Max price filter (CNY) |
| filter | No | - | Filter conditions, comma-separated (see supported filters below) |
| sort | No | {"monthSold":"desc"} | Sort as JSON: {field: direction} (see supported sort fields below) |
| keyword | No | - | Keyword to further filter results |
| productCollectionId | No | - | Product collection ID (see supported IDs below) |
Supported Filters
Multiple filters can be combined with commas (e.g. 1688Selection,totalEpScoreLv1,qrr0).
| Filter Value | Description |
|---|---|
| 1688Selection | 1688严选 |
| certifiedFactory | 认证工厂 |
| totalEpScoreLv1 | 综合体验分5星 |
| totalEpScoreLv2 | 综合体验分4星 |
| totalEpScoreLv3 | 综合体验分3星 |
| totalEpScoreLv4 | 综合体验分2星 |
| qrr0 | 无品质退款 |
| qrr1 | 品质退款率<1% |
| qrr5 | 品质退款率<5% |
| qrr10 | 品质退款率<10% |
| shipInToday | 当日发货 |
| shipIn24Hours | 24小时发货 |
| shipIn48Hours | 48小时发货 |
| noReason7DReturn | 7天无理由退货 |
| isOnePsale | 一件代发 |
| isOnePsaleFreePost | 一件代发包邮 |
| new7 | 7天内新品 |
| new30 | 30天内新品 |
| isQqyx | 全球严选 |
| JPFL | 日本专线 |
| USFL | 美国专线 |
| KRFL | 韩国专线 |
| VNFL | 越南专线 |
| SAFL | 沙特专线 |
| RUFL | 俄罗斯专线 |
| KZFL | 哈萨克斯坦专线 |
| HKFL | 香港专线 |
| MOFL | 澳门专线 |
| TWFL | 台湾专线 |
Supported Sort Fields
| Field | Direction | Description |
|---|---|---|
| price | asc/desc | Price ascending/descending |
| monthSold | asc/desc | Monthly sales ascending/descending |
| rePurchaseRate | asc/desc | Repurchase rate ascending/descending |
Sort format example: {"price":"asc"} for price low to high.
Supported Product Collection IDs
| ID | Usage |
|---|---|
| 262105288 | 跨境货盘 |
| 262105286 | 跨境货盘 |
| 262105253 | 跨境货盘 |
| 262105281 | 跨境货盘 |
| 262105280 | 跨境货盘 |
| 262105277 | 跨境货盘 |
| 262105276 | 跨境货盘 |
| 262105274 | 跨境货盘 |
| 262105269 | 跨境货盘 |
| 262185282 | 跨境货盘 |
调用方式
- API 端点：
POST /alibaba1688/imageSearch（完整参数/响应/错误码见references/api.md） - Python 脚本：
python scripts/alibaba1688_image_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-1688-search-by-image-<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, 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 imageUrl parameter.
Usage Examples
1. Basic image search
在1688搜索与图片相似的商品，图片地址为 https://m.media-amazon.com/images/I/719mRAn2VrL._AC_SL1500_.jpg2. Search with filters
在1688搜索与图片相似的商品，图片地址为 https://m.media-amazon.com/images/I/719mRAn2VrL._AC_SL1500_.jpg，查询第1页，筛选1688严选，并按价格从高到低排序3. Search with sorting
在1688搜索与图片相似的商品，图片地址为 https://example.com/product.jpg，按价格从高到低排序4. Paginated search
在1688搜索与图片相似的商品，图片地址为 https://example.com/product.jpg，查询第2页，每页50条5. Price range filter
在1688搜索与图片相似的商品，图片地址为 https://example.com/product.jpg，价格区间10-100元Show full SKILL.md (471 more words)Show less
Display Rules
- Present data clearly: Show results in a structured table with key columns: product image, title, price, dropship price, monthly sales, minimum order quantity, repurchase rate, and seller identity
- Image display: When the response includes imageUrl for products, display them inline for visual comparison
- Price display: Always show price in CNY (¥) format
- Seller badges: Display seller identity badges (超级工厂/实力商家/诚信通会员) and product badges (严选) prominently
- Result count: Always inform the user of total results and current page/total pages
- Pagination hint: When more pages are available, suggest the user can request the next page
- Filter/sort limitation: If the user requests a sort or filter not in the supported list, do NOT attempt any workaround. Inform the user of the supported options
- No secondary processing: Results are real-time and not stored in a database, so secondary SQL/data processing is not available
Important Limitations
- Data real-time nature: Results are live searches, not stored in any database. Cannot use
_dataQuery_executeDynamicQueryfor secondary processing. - Logic constraint: If the user requests sort or filter conditions not in the preset supported list, do NOT call any other tool or logic to compensate.
- Image input: One of imageUrl, imageBase64, or imageId is required. For page > 1, prefer passing imageId from the first page result to speed up queries.
- Image format: Only png, jpg, jpeg are supported. webp, gif, and other formats will be rejected.
- Base64 format: The imageBase64 value must be the raw Base64 string only — do NOT include the
data:image/jpeg;base64,prefix. - Page size: Maximum 50 results per page.
User Expression & Scenario Quick Reference
Applicable -- Visual product sourcing scenarios on 1688:
| User Says | Scenario |
|---|---|
| "1688以图搜图" / "用图片找1688货源" | Basic image search |
| "帮我在1688找这个图片的同款" | Find same-style products |
| "跨境找工厂，图片是..." | Cross-border supplier sourcing |
| "这个Amazon产品在1688有没有货源" | Reverse sourcing from Amazon image |
| "筛选1688严选的相似商品" | Filtered image search |
| "按月销量排序找相似货源" | Sorted image search |
| "查看第2页结果" | Pagination |
Not applicable -- Needs beyond 1688 image search:
- Text/keyword-based 1688 search (use 店雷达-1688选品库)
- 1688 product rankings/trending (use 店雷达-1688商品榜单)
- Amazon image search (use 亚马逊前端-以图搜图)
- Image generation or editing
- Product review analysis
- Price history or trend analysis
Boundary judgment: When users say "找货源" or "找同款", if they provide an image URL and the intent is to find visually similar products on 1688, this skill applies. If they want keyword-based search or ranking data on 1688, use the 店雷达 tools instead.
算力消耗规则
消耗 5 算力。
用户会因算力消耗而支付费用。请充分评估：当需要高频调用本技能，或用户对算力消耗量预期不足时，务必提醒用户，由用户决定是否继续。
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, visit 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-1688-search-by-image of linkfox-ai/linkfox-skills.
- SKILL.md
- references/api.md
- references/onboarding.md
- scripts/alibaba1688_image_search.py
- scripts/onboarding.py
- scripts/upload_image.py
Open the folder on GitHubat commit 38fef04
Used in 1 other repository
We found 1 copy 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 1688 Search By Image 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 1688 Search By Image this skilllinkfox-ai/linkfox-skills | 107 | 1 repos | ~2.4k | Automated safety check: Pass | MIT | |
| 1688 Shopkeepernext-1688/1688-shopkeeper | 2.2k | — | ~940 | Automated safety check: Pass | None | |
| 1688 Item Selectionnext-1688/1688-item-select | 629 | — | ~1.8k | Automated safety check: Pass | None | |
| 1688 Source Suppliersnext-1688/1688-source-suppliers | 556 | — | ~661 | Automated safety check: Pass | None | |
| 1688 Buyer Opportunity Trackernext-1688/1688-customer-opportunity | 553 | — | ~4.6k | Automated safety check: Pass | None | |
| 1688 Finance Taxnext-1688/1688-finance-tax | 683 | — | ~729 | Automated safety check: Pass | None |
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Works with
Questions about Linkfox 1688 Search By Image
What does Linkfox 1688 Search By Image do?
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 1688 Search By Image is an agent skill from linkfox-ai/linkfox-skills.
How do I install Linkfox 1688 Search By Image in Claude Code?
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-1688-search-by-image -a claude-code`. Or copy the skill folder (skills/linkfox-1688-search-by-image in linkfox-ai/linkfox-skills) into .claude/skills/linkfox-1688-search-by-image in your project. Claude Code loads it when a task matches its description.
How do I install Linkfox 1688 Search By Image in Codex?
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-1688-search-by-image -a codex`. Or copy the skill folder (skills/linkfox-1688-search-by-image in linkfox-ai/linkfox-skills) into .agents/skills/linkfox-1688-search-by-image in your project. Codex loads it when a task matches its description.
Can I use Linkfox 1688 Search By Image 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-1688-search-by-image -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-1688-search-by-image, .gemini/skills/linkfox-1688-search-by-image, .github/skills/linkfox-1688-search-by-image and .opencode/skills/linkfox-1688-search-by-image in your project.
What does Linkfox 1688 Search By Image need to run?
Going by SKILL.md and its folder, Linkfox 1688 Search By Image 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 1688 Search By Image access the network?
SKILL.md names 2 domains. In commands or code: m.media-amazon.com; the agent is likely to contact it when it follows the instructions. As links in the text: skill.linkfox.com. This is read from the text; nothing was executed.
Is Linkfox 1688 Search By Image 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 1688 Search By Image use?
Linkfox 1688 Search By Image 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 1688 Search By Image use?
About 2.4k tokens (SKILL.md is roughly 9.8k 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 2.7k tokens, read only when the agent opens those files.
What are the alternatives to Linkfox 1688 Search By Image?
Skills that share tags, products or a category with Linkfox 1688 Search By Image: 1688 Shopkeeper (next-1688/1688-shopkeeper, 2.2k stars), 1688 Item Selection (next-1688/1688-item-select, 629 stars), 1688 Source Suppliers (next-1688/1688-source-suppliers, 556 stars) and 1688 Buyer Opportunity Tracker (next-1688/1688-customer-opportunity, 553 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Linkfox 1688 Search By Image?
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.