{"id":"e7f44503-39f5-458d-b90c-81737384fc14","entityType":"agent","slug":"clawhub-cn-shopping-jd-lowest-price","name":"京东自营历史最低价","canonicalUrl":"https://www.xpersona.co/agent/clawhub-cn-shopping-jd-lowest-price","canonicalPath":"/agent/clawhub-cn-shopping-jd-lowest-price","generatedAt":"2026-10-11T14:17:02.962Z","source":"CLAWHUB","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"editorial-content","verified":true,"confidence":"high","updatedAt":"2026-10-11T11:47:50.625Z","emptyReason":null},"description":"京东历史最低价商品查询，展示正处于历史低价的自营商品，好评≥97%品质精选，支持品类搜索、价格筛选、降价幅度排序，抄底捡漏必备。自动过滤无效标签，智能品类推荐，数据通过腾讯云代理安全转发。暑期历史低价抢购，京东自营超值商品 Skill: 京东自营历史最低价 Owner: cn-shopping Summary: 京东历史最低价商品查询，展示正处于历史低价的自营商品，好评≥97%品质精选，支持品类搜索、价格筛选、降价幅度排序，抄底捡漏必备。自动过滤无效标签，智能品类推荐，数据通过腾讯云代理安全转发。暑期历史低价抢购，京东自营超值商品 Tags: latest:1.2.2 Version history: v1.2.2 | 2026-07-15T02:32:44.510Z | user 新增暑期省钱场景支持，覆盖更多消费需求 v1.2.1 | 2026-07-04T05:25:51.468Z | user 修复socket超时问题，优化标签过滤，智能品类推荐 v1.2.0 | 2026-07-01T11:00:08.237Z | user SH standard optimization: Token env var, urllib stdlib, S","descriptionLabel":"Technical summary","evidenceSummary":"Capability contract not published. 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京东历史最低价商品查询，展示正处于历史低价的自营商品，好评≥97%品质精选，支持品类搜索、价格筛选、降价幅度排序，抄底捡漏必备。自动过滤无效标签，智能品类推荐，数据通过腾讯云代理安全转发。暑期历史低价抢购，京东自营超值商品\n\nTags: latest:1.2.2\n\nVersion history:\n\nv1.2.2 | 2026-07-15T02:32:44.510Z | user\n\n新增暑期省钱场景支持，覆盖更多消费需求\n\nv1.2.1 | 2026-07-04T05:25:51.468Z | user\n\n修复socket超时问题，优化标签过滤，智能品类推荐\n\nv1.2.0 | 2026-07-01T11:00:08.237Z | user\n\nSH standard optimization: Token env var, urllib stdlib, SKILL.md full optimization with data flow and trigger conditions\n\nv1.1.2 | 2026-07-01T05:34:59.713Z | user\n\n优化SKILL.md：统一模板结构，补充核心亮点/快速入门/使用提示，全中文标签\n\nv1.1.1 | 2026-06-20T13:03:36.030Z | user\n\n新增商品图片渲染提示\n\nv1.1.0 | 2026-06-20T01:40:27.820Z | user\n\n更新描述：仅筛选京东自营商品，已精选好评≥97%、销量≥500的品质好货，去除零配置即装即用描述\n\nv0.3.1 | 2026-06-19T15:47:42.718Z | user\n\n统一规范更新：去除零配置即装即用措辞，旗舰店改为仅筛选京东自营商品\n\nv0.3.0 | 2026-06-19T13:09:13.770Z | user\n\n升级SCF代理v5.0架构：12h缓存+硬过滤+动态降级+排序+分页；新增min_good_comments参数；名称加自营；SKILL.md v3标准\n\nv1.0.1 | 2026-06-18T15:33:38.392Z | user\n\n更新名称为京东自营历史最低价，拉取全部数据(约1100条)，只展示自营和旗舰店商品，支持翻页、稀缺提醒、分类导览、品牌匹配、多种排序(到手价/降价幅度)\n\nv1.0.0 | 2026-06-18T12:56:56.709Z | user\n\n首发版本，京东历史最低价商品查询，适合抄底捡漏\n\nArchive index:\n\nArchive v1.2.2: 4 files, 6987 bytes\n\nFiles: _meta.json (134b), scripts/main.py (7932b), skill-card.md (2397b), SKILL.md (4988b)\n\nFile v1.2.2:SKILL.md\n\n---\nname: jd-lowest-price\nslug: jd-lowest-price-new\ndisplayName: 京东历史最低价\nversion: 1.2.1\ndisplay_name: 京东自营历史最低价\ndescription: \"京东历史最低价商品查询，展示正处于历史低价的自营商品，好评≥97%品质精选，支持品类搜索、价格筛选、降价幅度排序，抄底捡漏必备。自动过滤无效标签，智能品类推荐，数据通过腾讯云代理安全转发。暑期历史低价抢购，京东自营超值商品\"\ntags:\n - 历史最低价\n - 京东抄底\n - 京东自营\n - 降价商品\n - 捡漏好货\ntools:\n - name: get_lowest_picks\n description: 查询京东历史最低价商品，仅筛选京东自营商品，已精选好评≥97%、销量≥500的品质好货，按品类关键词、价格筛选和排序\n env:\n - name: PROXY_URL\n description: 代理服务器地址（自动配置，无需手动设置）\n required: false\n - name: PROXY_TOKEN\n description: 代理认证Token（自动配置，无需手动设置）\n required: false\n parameters:\n - name: keyword\n type: string\n description: 品类、品牌或商品关键词，如\"家电\"\"手机\"\"小米\"。为空则返回全部推荐\n required: false\n - name: max_price\n type: number\n description: 最高到手价，0表示不限，默认0\n required: false\n - name: sort\n type: string\n description: 排序方式，score=综合推荐(默认)，price=到手价从低到高，drop=降价幅度从高到低\n required: false\n - name: min_good_comments\n type: number\n description: 最低好评率，默认97，可选98/99/100。指定后好评率不降级，只放宽销量门槛\n required: false\n - name: page\n type: number\n description: 页码，每页50条，默认1\n required: false\n---\n\n# 京东自营历史最低价\n> 正处于历史最低价的京东自营好货，抄底就在此刻\n\n## 📌 简介\n京东历史最低价商品查询工具，展示正处于历史最低价格的自营商品。好评≥97%、销量≥500的品质精选。适合精打细算、想抄底捡漏的用户——现在就是这款商品的最低价格。\n\n## ✨ 核心亮点\n- ✅ **真正的历史低价**：每件商品都处于该商品上市以来的最低价格，不是促销噱头\n- ✅ **抄底神器**：按降价幅度排序，一眼找到折扣最狠的商品\n- ✅ **仅自营**：全部京东自营，品质有保障，售后无忧\n- ✅ **品牌搜索**：支持品牌关键词（如\"小米\"\"华为\"），精准定位品牌好价\n- ✅ **智能降级**：结果不足时自动放宽条件，保证每次查询都有推荐\n\n## 🚀 快速入门\n| 你这样说 | 技能做什么 |\n|---------|----------|\n| \"京东有什么历史最低价商品\" | 返回全部历史低价商品第1页（50条） |\n| \"小米的历史最低价\" | 品牌关键词筛选，找小米的历史低价商品 |\n| \"降价幅度最大的\" | 按降价幅度排序，找折扣最狠的抄底好货 |\n\n## 🔧 核心能力\n1. **历史低价查询**：分页浏览正处于历史最低价的自营商品，每页50条\n2. **品类/品牌搜索**：支持品类、品牌或商品关键词，支持模糊匹配\n3. **价格区间筛选**：设置最高价格，锁定预算范围\n4. **多维度排序**：综合推荐(默认)、到手价从低到高、降价幅度从高到低\n5. **品质自定义**：可指定最低好评率（97/98/99/100），指定后不降级\n6. **动态降级**：结果不足时自动放宽销量门槛，保证推荐数量\n\n## ✅ 能做什么\n- 查询京东正处于历史最低价的自营商品\n- 按品类、品牌、价格筛选，按降价幅度排序\n- 自定义品质标准（好评率门槛）\n- 翻页浏览（每页50条，说\"下一页\"查看更多）\n\n## ❌ 不能做什么\n- 不能下单购买，只提供商品信息和购买链接\n- 不能查询历史价格走势曲线\n- 不能设置降价提醒通知\n\n## 💡 使用提示\n- 数据通过云端代理服务器安全转发至京东联盟API获取商品数据，代理服务不存储用户个人信息和查询数据\n1. sort=drop按降价幅度排序，适合找折扣最狠的抄底好货\n2. keyword支持品牌词（\"小米\"\"华为\"\"海尔\"），精准定位品牌好价\n3. 历史最低价是动态变化的，不同时间查询结果可能不同\n4. 每条商品含商品图片URL（image_url），用 `` 渲染图片\n5. 看到心仪的历史低价建议尽快下手，价格随时可能回调\n\n## 🔗 搭配使用\n- [京东自营超级补贴](https://clawhub.ai/cn-shopping/jd-super-deals)：历史低价 vs 补贴价，哪个更便宜比一比\n- [京东自营9.9包邮](https://clawhub.ai/cn-shopping/jd-99-baoyou)：大件抄底+小件包邮，省钱两不误\n- [购物比价助手](https://clawhub.ai/cn-shopping/best-price)：京东历史低价 vs 其他平台，确认是不是真·全网最低\n\nFile v1.2.2:_meta.json\n\n{\n \"ownerId\": \"kn7e1mfbeh2h71wg876t0sb8gx884fjb\",\n \"slug\": \"jd-lowest-price\",\n \"version\": \"1.2.2\",\n \"publishedAt\": 1784082764510\n}\n\nFile v1.2.2:skill-card.md\n\n## Description:\n\nQueries JD.com self-operated products that are currently at historical low prices, with filters for keyword, maximum price, review rate, pagination, and sorting by recommendation, price, or discount depth.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[cn-shopping](https://clawhub.ai/user/cn-shopping)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nExternal shoppers and shopping assistants use this skill to find JD.com self-operated products that are currently at historical low prices, then narrow results by brand, category, budget, review rate, and discount depth. It provides product information and purchase links, but does not buy products, show historical price curves, or create price alerts.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Shopping search terms are relayed through the publisher's Tencent Cloud proxy.\n\nMitigation: Install only if that proxy data flow is acceptable, and review publisher documentation for data handling, retention, and proxy behavior.\n\nRisk: The skill includes a reusable fallback proxy token.\n\nMitigation: Use an environment-provided token, rotate the exposed token, and remove the hardcoded fallback secret before relying on the skill in managed environments.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/cn-shopping/skills/jd-lowest-price)\n- [Publisher profile](https://clawhub.ai/user/cn-shopping)\n- [京东自营超级补贴](https://clawhub.ai/cn-shopping/jd-super-deals)\n- [京东自营9.9包邮](https://clawhub.ai/cn-shopping/jd-99-baoyou)\n- [购物比价助手](https://clawhub.ai/cn-shopping/best-price)\n\n## Skill Output:\n\n**Output Type(s):** [Text, JSON, Guidance]\n\n**Output Format:** [JSON string containing a human-readable summary and a JSON-encoded product list]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Product results may include names, prices, discount percentages, shop and brand names, tags, image URLs, buy URLs, categories, recent order counts, review rates, and scores.]\n\n## Skill Version(s):\n\n1.2.2 (source: server release metadata)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nArchive v1.2.1: 4 files, 7038 bytes\n\nFiles: scripts/main.py (7932b), skill-card.md (2358b), SKILL.md (4935b), _meta.json (134b)\n\nFile v1.2.1:SKILL.md\n\n---\nname: jd-lowest-price\nslug: jd-lowest-price-new\ndisplayName: 京东历史最低价\nversion: 1.2.1\ndisplay_name: 京东自营历史最低价\ndescription: 京东历史最低价商品查询，展示正处于历史低价的自营商品，好评≥97%品质精选，支持品类搜索、价格筛选、降价幅度排序，抄底捡漏必备。自动过滤无效标签，智能品类推荐，数据通过腾讯云代理安全转发。\ntags:\n - 历史最低价\n - 京东抄底\n - 京东自营\n - 降价商品\n - 捡漏好货\ntools:\n - name: get_lowest_picks\n description: 查询京东历史最低价商品，仅筛选京东自营商品，已精选好评≥97%、销量≥500的品质好货，按品类关键词、价格筛选和排序\n env:\n - name: PROXY_URL\n description: 代理服务器地址（自动配置，无需手动设置）\n required: false\n - name: PROXY_TOKEN\n description: 代理认证Token（自动配置，无需手动设置）\n required: false\n parameters:\n - name: keyword\n type: string\n description: 品类、品牌或商品关键词，如\"家电\"\"手机\"\"小米\"。为空则返回全部推荐\n required: false\n - name: max_price\n type: number\n description: 最高到手价，0表示不限，默认0\n required: false\n - name: sort\n type: string\n description: 排序方式，score=综合推荐(默认)，price=到手价从低到高，drop=降价幅度从高到低\n required: false\n - name: min_good_comments\n type: number\n description: 最低好评率，默认97，可选98/99/100。指定后好评率不降级，只放宽销量门槛\n required: false\n - name: page\n type: number\n description: 页码，每页50条，默认1\n required: false\n---\n\n# 京东自营历史最低价\n> 正处于历史最低价的京东自营好货，抄底就在此刻\n\n## 📌 简介\n京东历史最低价商品查询工具，展示正处于历史最低价格的自营商品。好评≥97%、销量≥500的品质精选。适合精打细算、想抄底捡漏的用户——现在就是这款商品的最低价格。\n\n## ✨ 核心亮点\n- ✅ **真正的历史低价**：每件商品都处于该商品上市以来的最低价格，不是促销噱头\n- ✅ **抄底神器**：按降价幅度排序，一眼找到折扣最狠的商品\n- ✅ **仅自营**：全部京东自营，品质有保障，售后无忧\n- ✅ **品牌搜索**：支持品牌关键词（如\"小米\"\"华为\"），精准定位品牌好价\n- ✅ **智能降级**：结果不足时自动放宽条件，保证每次查询都有推荐\n\n## 🚀 快速入门\n| 你这样说 | 技能做什么 |\n|---------|----------|\n| \"京东有什么历史最低价商品\" | 返回全部历史低价商品第1页（50条） |\n| \"小米的历史最低价\" | 品牌关键词筛选，找小米的历史低价商品 |\n| \"降价幅度最大的\" | 按降价幅度排序，找折扣最狠的抄底好货 |\n\n## 🔧 核心能力\n1. **历史低价查询**：分页浏览正处于历史最低价的自营商品，每页50条\n2. **品类/品牌搜索**：支持品类、品牌或商品关键词，支持模糊匹配\n3. **价格区间筛选**：设置最高价格，锁定预算范围\n4. **多维度排序**：综合推荐(默认)、到手价从低到高、降价幅度从高到低\n5. **品质自定义**：可指定最低好评率（97/98/99/100），指定后不降级\n6. **动态降级**：结果不足时自动放宽销量门槛，保证推荐数量\n\n## ✅ 能做什么\n- 查询京东正处于历史最低价的自营商品\n- 按品类、品牌、价格筛选，按降价幅度排序\n- 自定义品质标准（好评率门槛）\n- 翻页浏览（每页50条，说\"下一页\"查看更多）\n\n## ❌ 不能做什么\n- 不能下单购买，只提供商品信息和购买链接\n- 不能查询历史价格走势曲线\n- 不能设置降价提醒通知\n\n## 💡 使用提示\n- 数据通过云端代理服务器安全转发至京东联盟API获取商品数据，代理服务不存储用户个人信息和查询数据\n1. sort=drop按降价幅度排序，适合找折扣最狠的抄底好货\n2. keyword支持品牌词（\"小米\"\"华为\"\"海尔\"），精准定位品牌好价\n3. 历史最低价是动态变化的，不同时间查询结果可能不同\n4. 每条商品含商品图片URL（image_url），用 `` 渲染图片\n5. 看到心仪的历史低价建议尽快下手，价格随时可能回调\n\n## 🔗 搭配使用\n- [京东自营超级补贴](https://clawhub.ai/cn-shopping/jd-super-deals)：历史低价 vs 补贴价，哪个更便宜比一比\n- [京东自营9.9包邮](https://clawhub.ai/cn-shopping/jd-99-baoyou)：大件抄底+小件包邮，省钱两不误\n- [购物比价助手](https://clawhub.ai/cn-shopping/best-price)：京东历史低价 vs 其他平台，确认是不是真·全网最低\n\nFile v1.2.1:_meta.json\n\n{\n \"ownerId\": \"kn7e1mfbeh2h71wg876t0sb8gx884fjb\",\n \"slug\": \"jd-lowest-price\",\n \"version\": \"1.2.1\",\n \"publishedAt\": 1783142751468\n}\n\nFile v1.2.1:skill-card.md\n\n## Description:
\n京东历史最低价商品查询，展示正处于历史低价的自营商品，好评>=97%品质精选，支持品类搜索、价格筛选、降价幅度排序，并通过腾讯云代理转发查询。
\n\nThis skill is ready for commercial/non-commercial use.
\n\n## Publisher:
\n[cn-shopping](https://clawhub.ai/user/cn-shopping)
\n\n### License/Terms of Use:
\nMIT-0
\n\n\n## Use Case:
\nShopping users and shopping-focused agents use this skill to find JD self-operated products currently at historical low prices, filter by keyword, price, and good-comment rate, and compare discount-focused recommendations.
\n\n### Deployment Geography for Use:
\nGlobal
\n\n## Known Risks and Mitigations:
\nRisk: Shopping keywords and filters are sent to the publisher's Tencent Cloud proxy.
\nMitigation: Avoid entering personal information in search terms and install only when this proxy routing is acceptable.
\nRisk: The artifact includes a default proxy token for the publisher-operated proxy.
\nMitigation: The publisher should rotate or remove embedded proxy tokens and document retention practices more clearly.
\n\n\n## Reference(s):
\n- [ClawHub skill page](https://clawhub.ai/cn-shopping/skills/jd-lowest-price)
\n- [京东自营超级补贴](https://clawhub.ai/cn-shopping/jd-super-deals)
\n- [京东自营9.9包邮](https://clawhub.ai/cn-shopping/jd-99-baoyou)
\n- [购物比价助手](https://clawhub.ai/cn-shopping/best-price)
\n\n\n## Skill Output:
\n**Output Type(s):** [text, JSON, markdown]
\n**Output Format:** [JSON string containing a human-readable summary and product-list content that agents can present as text or Markdown.]
\n**Output Parameters:** [1D]
\n**Other Properties Related to Output:** [Product entries can include names, prices, discount percentages, shop and brand data, tags, image URLs, buy URLs, categories, recent order counts, good-comment rates, and ranking scores.]
\n\n## Skill Version(s):
\n1.2.1 (source: server release evidence and frontmatter)
\n\n## Ethical Considerations:
\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.
\n\nArchive v1.2.0: 4 files, 6593 bytes\n\nFiles: scripts/main.py (7027b), skill-card.md (2401b), SKILL.md (4845b), _meta.json (134b)\n\nFile v1.2.0:SKILL.md\n\n---\nname: jd-lowest-price\nslug: jd-lowest-price-new\ndisplayName: 京东历史最低价\nversion: 1.0.0\ndisplay_name: 京东自营历史最低价\ndescription: 京东历史最低价商品查询，展示正处于历史低价的自营商品，好评≥97%品质精选，支持品类搜索、价格筛选、降价幅度排序，抄底捡漏必备。\ntags:\n - 历史最低价\n - 京东抄底\n - 京东自营\n - 降价商品\n - 捡漏好货\ntools:\n - name: get_lowest_picks\n description: 查询京东历史最低价商品，仅筛选京东自营商品，已精选好评≥97%、销量≥500的品质好货，按品类关键词、价格筛选和排序\n env:\n - name: PROXY_URL\n description: 代理服务器地址（自动配置，无需手动设置）\n required: false\n - name: PROXY_TOKEN\n description: 代理认证Token（自动配置，无需手动设置）\n required: false\n parameters:\n - name: keyword\n type: string\n description: 品类、品牌或商品关键词，如\"家电\"\"手机\"\"小米\"。为空则返回全部推荐\n required: false\n - name: max_price\n type: number\n description: 最高到手价，0表示不限，默认0\n required: false\n - name: sort\n type: string\n description: 排序方式，score=综合推荐(默认)，price=到手价从低到高，drop=降价幅度从高到低\n required: false\n - name: min_good_comments\n type: number\n description: 最低好评率，默认97，可选98/99/100。指定后好评率不降级，只放宽销量门槛\n required: false\n - name: page\n type: number\n description: 页码，每页50条，默认1\n required: false\n---\n\n# 京东自营历史最低价\n> 正处于历史最低价的京东自营好货，抄底就在此刻\n\n## 📌 简介\n京东历史最低价商品查询工具，展示正处于历史最低价格的自营商品。好评≥97%、销量≥500的品质精选。适合精打细算、想抄底捡漏的用户——现在就是这款商品的最低价格。\n\n## ✨ 核心亮点\n- ✅ **真正的历史低价**：每件商品都处于该商品上市以来的最低价格，不是促销噱头\n- ✅ **抄底神器**：按降价幅度排序，一眼找到折扣最狠的商品\n- ✅ **仅自营**：全部京东自营，品质有保障，售后无忧\n- ✅ **品牌搜索**：支持品牌关键词（如\"小米\"\"华为\"），精准定位品牌好价\n- ✅ **智能降级**：结果不足时自动放宽条件，保证每次查询都有推荐\n\n## 🚀 快速入门\n| 你这样说 | 技能做什么 |\n|---------|----------|\n| \"京东有什么历史最低价商品\" | 返回全部历史低价商品第1页（50条） |\n| \"小米的历史最低价\" | 品牌关键词筛选，找小米的历史低价商品 |\n| \"降价幅度最大的\" | 按降价幅度排序，找折扣最狠的抄底好货 |\n\n## 🔧 核心能力\n1. **历史低价查询**：分页浏览正处于历史最低价的自营商品，每页50条\n2. **品类/品牌搜索**：支持品类、品牌或商品关键词，支持模糊匹配\n3. **价格区间筛选**：设置最高价格，锁定预算范围\n4. **多维度排序**：综合推荐(默认)、到手价从低到高、降价幅度从高到低\n5. **品质自定义**：可指定最低好评率（97/98/99/100），指定后不降级\n6. **动态降级**：结果不足时自动放宽销量门槛，保证推荐数量\n\n## ✅ 能做什么\n- 查询京东正处于历史最低价的自营商品\n- 按品类、品牌、价格筛选，按降价幅度排序\n- 自定义品质标准（好评率门槛）\n- 翻页浏览（每页50条，说\"下一页\"查看更多）\n\n## ❌ 不能做什么\n- 不能下单购买，只提供商品信息和购买链接\n- 不能查询历史价格走势曲线\n- 不能设置降价提醒通知\n\n## 💡 使用提示\n- 数据通过云端代理服务器安全转发至京东联盟API获取商品数据，代理服务不存储用户个人信息和查询数据\n1. sort=drop按降价幅度排序，适合找折扣最狠的抄底好货\n2. keyword支持品牌词（\"小米\"\"华为\"\"海尔\"），精准定位品牌好价\n3. 历史最低价是动态变化的，不同时间查询结果可能不同\n4. 每条商品含商品图片URL（image_url），用 `` 渲染图片\n5. 看到心仪的历史低价建议尽快下手，价格随时可能回调\n\n## 🔗 搭配使用\n- [京东自营超级补贴](https://clawhub.ai/cn-shopping/jd-super-deals)：历史低价 vs 补贴价，哪个更便宜比一比\n- [京东自营9.9包邮](https://clawhub.ai/cn-shopping/jd-99-baoyou)：大件抄底+小件包邮，省钱两不误\n- [购物比价助手](https://clawhub.ai/cn-shopping/best-price)：京东历史低价 vs 其他平台，确认是不是真·全网最低\n\nFile v1.2.0:_meta.json\n\n{\n \"ownerId\": \"kn7e1mfbeh2h71wg876t0sb8gx884fjb\",\n \"slug\": \"jd-lowest-price\",\n \"version\": \"1.2.0\",\n \"publishedAt\": 1782903608237\n}\n\nFile v1.2.0:skill-card.md\n\n## Description:
\n京东历史最低价商品查询，展示正处于历史低价的自营商品，好评≥97%品质精选，支持品类搜索、价格筛选、降价幅度排序，抄底捡漏必备。
\n\nThis skill is ready for commercial/non-commercial use.
\n\n## Publisher:
\n[cn-shopping](https://clawhub.ai/user/cn-shopping)
\n\n### License/Terms of Use:
\nMIT-0
\n\n\n## Use Case:
\nShoppers and shopping-assistant agents use this skill to find JD self-operated products currently reported at historical low prices, with keyword, price, rating, sorting, and pagination filters.
\n\n### Deployment Geography for Use:
\nGlobal
\n\n## Known Risks and Mitigations:
\nRisk: Shopping search keywords and filter values are sent through the publisher's Tencent cloud proxy.
\nMitigation: Avoid entering personal or sensitive information in search keywords, and use the skill only when that proxy handling is acceptable.
\nRisk: The release security guidance notes a hardcoded proxy token.
\nMitigation: The publisher should move proxy credentials to managed secrets before relying on the skill in sensitive environments.
\n\n\n## Reference(s):
\n- [京东历史最低价 on ClawHub](https://clawhub.ai/cn-shopping/skills/jd-lowest-price)
\n- [京东自营超级补贴](https://clawhub.ai/cn-shopping/jd-super-deals)
\n- [京东自营9.9包邮](https://clawhub.ai/cn-shopping/jd-99-baoyou)
\n- [购物比价助手](https://clawhub.ai/cn-shopping/best-price)
\n\n\n## Skill Output:
\n**Output Type(s):** [Text, JSON, Guidance]
\n**Output Format:** [JSON containing a summary string and product-result content, where product-result content is a JSON array when results are available.]
\n**Output Parameters:** [1D]
\n**Other Properties Related to Output:** [Results may include product names, prices, coupon prices, discount percentages, shop and brand names, category fields, image URLs, purchase URLs, recent order counts, and good-comment rates.]
\n\n## Skill Version(s):
\n1.2.0 (source: server release evidence; artifact frontmatter lists 1.0.0)
\n\n## Ethical Considerations:
\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.
\n\nArchive v1.1.2: 3 files, 3738 bytes\n\nFiles: skill-card.md (2332b), SKILL.md (4498b), _meta.json (134b)\n\nFile v1.1.2:SKILL.md\n\n---\nname: jd-lowest-price\ndisplay_name: 京东自营历史最低价\ndescription: 京东历史最低价商品查询，展示正处于历史低价的自营商品，好评≥97%品质精选，支持品类搜索、价格筛选、降价幅度排序，抄底捡漏必备。\ntags:\n - 历史最低价\n - 京东抄底\n - 京东自营\n - 降价商品\n - 捡漏好货\ntools:\n - name: get_lowest_picks\n description: 查询京东历史最低价商品，仅筛选京东自营商品，已精选好评≥97%、销量≥500的品质好货，按品类关键词、价格筛选和排序\n env:\n - name: PROXY_TOKEN\n description: 代理认证Token（自动配置，无需手动设置）\n required: false\n parameters:\n - name: keyword\n type: string\n description: 品类、品牌或商品关键词，如\"家电\"\"手机\"\"小米\"。为空则返回全部推荐\n required: false\n - name: max_price\n type: number\n description: 最高到手价，0表示不限，默认0\n required: false\n - name: sort\n type: string\n description: 排序方式，score=综合推荐(默认)，price=到手价从低到高，drop=降价幅度从高到低\n required: false\n - name: min_good_comments\n type: number\n description: 最低好评率，默认97，可选98/99/100。指定后好评率不降级，只放宽销量门槛\n required: false\n - name: page\n type: number\n description: 页码，每页50条，默认1\n required: false\n---\n\n# 京东自营历史最低价\n> 正处于历史最低价的京东自营好货，抄底就在此刻\n\n## 📌 简介\n京东历史最低价商品查询工具，展示正处于历史最低价格的自营商品。好评≥97%、销量≥500的品质精选。适合精打细算、想抄底捡漏的用户——现在就是这款商品的最低价格。\n\n## ✨ 核心亮点\n- ✅ **真正的历史低价**：每件商品都处于该商品上市以来的最低价格，不是促销噱头\n- ✅ **抄底神器**：按降价幅度排序，一眼找到折扣最狠的商品\n- ✅ **仅自营**：全部京东自营，品质有保障，售后无忧\n- ✅ **品牌搜索**：支持品牌关键词（如\"小米\"\"华为\"），精准定位品牌好价\n- ✅ **智能降级**：结果不足时自动放宽条件，保证每次查询都有推荐\n\n## 🚀 快速入门\n| 你这样说 | 技能做什么 |\n|---------|----------|\n| \"京东有什么历史最低价商品\" | 返回全部历史低价商品第1页（50条） |\n| \"小米的历史最低价\" | 品牌关键词筛选，找小米的历史低价商品 |\n| \"降价幅度最大的\" | 按降价幅度排序，找折扣最狠的抄底好货 |\n\n## 🔧 核心能力\n1. **历史低价查询**：分页浏览正处于历史最低价的自营商品，每页50条\n2. **品类/品牌搜索**：支持品类、品牌或商品关键词，支持模糊匹配\n3. **价格区间筛选**：设置最高价格，锁定预算范围\n4. **多维度排序**：综合推荐(默认)、到手价从低到高、降价幅度从高到低\n5. **品质自定义**：可指定最低好评率（97/98/99/100），指定后不降级\n6. **动态降级**：结果不足时自动放宽销量门槛，保证推荐数量\n\n## ✅ 能做什么\n- 查询京东正处于历史最低价的自营商品\n- 按品类、品牌、价格筛选，按降价幅度排序\n- 自定义品质标准（好评率门槛）\n- 翻页浏览（每页50条，说\"下一页\"查看更多）\n\n## ❌ 不能做什么\n- 不能下单购买，只提供商品信息和购买链接\n- 不能查询历史价格走势曲线\n- 不能设置降价提醒通知\n\n## 💡 使用提示\n1. sort=drop按降价幅度排序，适合找折扣最狠的抄底好货\n2. keyword支持品牌词（\"小米\"\"华为\"\"海尔\"），精准定位品牌好价\n3. 历史最低价是动态变化的，不同时间查询结果可能不同\n4. 每条商品含商品图片URL（image_url），用 `` 渲染图片\n5. 看到心仪的历史低价建议尽快下手，价格随时可能回调\n\n## 🔗 搭配使用\n- [京东自营超级补贴](https://clawhub.ai/cn-shopping/jd-super-deals)：历史低价 vs 补贴价，哪个更便宜比一比\n- [京东自营9.9包邮](https://clawhub.ai/cn-shopping/jd-99-baoyou)：大件抄底+小件包邮，省钱两不误\n- [购物比价助手](https://clawhub.ai/cn-shopping/best-price)：京东历史低价 vs 其他平台，确认是不是真·全网最低\n\nFile v1.1.2:_meta.json\n\n{\n \"ownerId\": \"kn7e1mfbeh2h71wg876t0sb8gx884fjb\",\n \"slug\": \"jd-lowest-price\",\n \"version\": \"1.1.2\",\n \"publishedAt\": 1782884099713\n}\n\nFile v1.1.2:skill-card.md\n\n## Description:
\n京东历史最低价商品查询，展示正处于历史低价的自营商品，好评≥97%品质精选，支持品类搜索、价格筛选、降价幅度排序，抄底捡漏必备。
\n\nThis skill is ready for commercial/non-commercial use.
\n\n## Publisher:
\n[cn-shopping](https://clawhub.ai/user/cn-shopping)
\n\n### License/Terms of Use:
\nMIT-0
\n\n\n## Use Case:
\nExternal shopping users use this skill to find JD self-operated products currently reported at historical low prices, then filter by keyword, price, rating threshold, sort order, and page. It is intended for product discovery and comparison, not for purchasing, price-alert setup, or historical price-chart analysis.
\n\n### Deployment Geography for Use:
\nGlobal
\n\n## Known Risks and Mitigations:
\nRisk: Price, promotion, seller, or product-link details can change after lookup.
\nMitigation: Verify the current JD price, seller status, product link, and promotion terms before buying.
\nRisk: Broad discount questions may route into this JD-specific shopping lookup even when the user intended a wider comparison.
\nMitigation: Confirm the marketplace and filters before relying on recommendations.
\n\n\n## Reference(s):
\n- [ClawHub skill page](https://clawhub.ai/cn-shopping/skills/jd-lowest-price)
\n- [京东自营超级补贴](https://clawhub.ai/cn-shopping/jd-super-deals)
\n- [京东自营9.9包邮](https://clawhub.ai/cn-shopping/jd-99-baoyou)
\n- [购物比价助手](https://clawhub.ai/cn-shopping/best-price)
\n\n\n## Skill Output:
\n**Output Type(s):** [text, markdown]
\n**Output Format:** [Markdown product recommendations with product names, prices, links, and optional image URLs.]
\n**Output Parameters:** [1D]
\n**Other Properties Related to Output:** [Supports keyword, maximum price, sort order, minimum good-comment rate, and page parameters; results are paginated at up to 50 items per page.]
\n\n## Skill Version(s):
\n1.1.2 (source: server release evidence)
\n\n## Ethical Considerations:
\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.
\n\nArchive v1.1.1: 7 files, 18924 bytes\n\nFiles: scf_index.py (27956b), scripts/main.py (10771b), skill-card.md (2230b), SKILL.md (4614b), 魔搭-README.md (3538b), 魔搭-服务描述.md (1367b), _meta.json (134b)\n\nFile v1.1.1:SKILL.md\n\n---\nname: jd-lowest-price\ndisplay_name: \"京东自营历史最低价\"\ndescription: \"提供京东历史最低价商品查询工具，展示正处于历史最低价格的商品，仅筛选京东自营商品，已精选好评≥97%、销量≥500的品质商品，支持按品类关键词、价格筛选和多种排序，结果不足时自动降级保证推荐数量。\"\ntags: [京东, 历史最低价, 抄底, 捡漏, 最低价, 降价, 京东优惠, 历史低价, 京东好价, 京东自营, jd, price, shopping]\ntools:\n - name: get_lowest_picks\n description: 查询京东历史最低价商品，仅筛选京东自营商品，已精选好评≥97%、销量≥500的品质好货，按品类关键词、价格筛选和排序\n env:\n - name: PROXY_TOKEN\n description: 代理认证Token（自动配置，无需手动设置）\n required: false\n parameters:\n - name: keyword\n type: string\n description: 品类、品牌或商品关键词，如\"家电\"\"手机\"\"小米\"。为空则返回全部推荐\n required: false\n - name: max_price\n type: number\n description: 最高到手价，0表示不限，默认0\n required: false\n - name: sort\n type: string\n description: 排序方式，score=综合推荐(默认)，price=到手价从低到高，drop=降价幅度从高到低\n required: false\n - name: min_good_comments\n type: number\n description: 最低好评率，默认97，可选98/99/100。指定后好评率不降级，只放宽销量门槛\n required: false\n - name: page\n type: number\n description: 页码，每页50条，默认1\n required: false\n---\n\n# 京东自营历史最低价\n\n提供京东历史最低价商品查询工具，展示正处于历史最低价格的商品，基于京东官方数据。仅筛选京东自营商品，品质有保障。默认精选好评≥97%、近30天销量≥500的品质商品，结果不足时自动逐级降级（先降销量到≥100，再降到不限），保证每次查询都有推荐。\n\n## 能做什么\n\n- **历史最低价查询**：展示京东上正处于历史最低价格的商品，已精选好评≥97%、销量≥500的品质商品\n- **品类筛选**：按关键词筛选特定品类的抄底商品（支持模糊匹配，如\"家电\"可匹配\"家用电器\"）\n- **品牌筛选**：按品牌名匹配商品（如\"小米\"\"华为\"）\n- **价格筛选**：设置最高到手价，锁定预算范围\n- **多种排序**：综合推荐、价格从低到高、降价幅度从高到低\n- **品质自定义**：可自定义最低好评率（97/98/99/100），指定后好评率不降级，只放宽销量门槛\n- **动态降级**：结果不足时自动放宽销量门槛（500→100→不限），保证推荐数量\n- **翻页浏览**：每页50条，说\"下一页\"查看更多\n- **分类导览**：不带关键词时展示热门分类，引导按品类浏览\n\n## 不能做什么\n\n- 不能下单购买，只提供商品信息和购买链接\n- 不能查询某件商品的历史价格曲线\n- 不能设置降价提醒通知\n\n## 使用示例\n\n1. \"京东历史最低价有什么好货\" → 返回全部第1页+分类导览\n2. \"帮我找100元以内的抄底好货\" → 按价格筛选\n3. \"京东历史最低价的手机\" → 按品类筛选\n4. \"2000元以下的手机最低价\" → 品类+价格组合筛选\n5. \"最便宜的历史最低价商品\" → 按到手价排序\n6. \"降价最多的好货\" → 按降价幅度排序\n7. \"下一页\" → 查看更多商品\n\n## 注意事项\n\n- 历史最低价商品数量较多（约1000条），热门品类竞争激烈\n- 最低价商品可能很快售罄，看到合适的建议尽快下单\n- 仅筛选京东自营商品，专卖店和个人店已自动剔除\n- 好评率97%为品质底线，系统不会降级到97%以下\n- **数据流向说明**：查询通过云端代理转发到京东官方API，代理不存储用户数据\n\n## 使用提示\n\n- keyword为空时返回全部推荐，并展示热门分类引导浏览\n- 带品类关键词时结果较少属正常现象，说明符合条件的好货稀缺\n- sort=price按到手价从低到高，适合找最便宜的\n- sort=drop按降价幅度排序，适合找降幅最大的抄底好货\n- min_good_comments设为99或100时，筛选更严格但结果可能更少\n- max_price设置价格上限，避免看到超预算商品\n- 每条商品包含商品图片URL（image_url），请用  格式渲染图片，图片下方放购买链接\n- 购买链接点击后自动识别设备，手机端有京东APP则唤起APP\n\nFile v1.1.1:_meta.json\n\n{\n \"ownerId\": \"kn7e1mfbeh2h71wg876t0sb8gx884fjb\",\n \"slug\": \"jd-lowest-price\",\n \"version\": \"1.1.1\",\n \"publishedAt\": 1781960616030\n}\n\nFile v1.1.1:skill-card.md\n\n## Description:
\n提供京东历史最低价商品查询，按关键词、价格、好评率、销量和排序条件返回精选商品信息、图片和购买链接。
\n\nThis skill is ready for commercial/non-commercial use.
\n\n## Publisher:
\n[cn-shopping](https://clawhub.ai/user/cn-shopping)
\n\n### License/Terms of Use:
\nMIT-0
\n\n\n## Use Case:
\n购物用户和代理可用该技能发现京东历史最低价商品，按品类关键词、预算、好评率和排序方式筛选候选商品。代理可将返回的商品名称、价格、图片、店铺、销量、好评率和购买链接整理成面向用户的推荐结果。
\n\n### Deployment Geography for Use:
\nGlobal
\n\n## Known Risks and Mitigations:
\nRisk: Shopping search parameters are sent to the publisher's Tencent cloud proxy and JD APIs.
\nMitigation: Use the skill only for shopping searches the user is comfortable sending to those services.
\nRisk: The security guidance notes that artifacts allow flagship-store results despite stricter self-operated wording.
\nMitigation: Verify store type, final price, and purchase link before relying on a recommendation or buying.
\nRisk: Lowest-price product availability and prices can change quickly.
\nMitigation: Treat results as discovery leads and confirm current price and stock at checkout.
\n\n\n## Reference(s):
\n- [ClawHub skill page](https://clawhub.ai/cn-shopping/jd-lowest-price)
\n\n\n## Skill Output:
\n**Output Type(s):** [text, markdown, guidance]
\n**Output Format:** [JSON product data with a short natural-language summary; agents may render product images and purchase links in Markdown.]
\n**Output Parameters:** [1D]
\n**Other Properties Related to Output:** [Inputs include optional keyword, maximum price, sort order, minimum good-comment rate, and page number.]
\n\n## Skill Version(s):
\n1.1.1 (source: server release evidence)
\n\n## Ethical Considerations:
\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.
\n\nFile v1.1.1:魔搭-README.md\n\n# 京东自营历史最低价\n\n## 简介\n\n本服务从京东历史最低价频道中精选高品质京东自营商品，为用户提供智能化的抄底商品推荐。服务自动筛选好评率高、降价幅度大的优质商品，帮助用户在众多最低价商品中快速找到值得入手的好货。\n\n## 核心特色\n\n- **品质保障**：所有推荐商品均为京东自营，好评率≥97%为硬性底线\n- **智能筛选**：默认推荐好评≥97%、销量≥500的抄底好货\n- **多维过滤**：支持按关键词、价格上限、好评率自定义筛选\n- **灵活排序**：支持按综合评分、到手价、降价幅度排序\n- **分页浏览**：每页50条，支持翻页浏览更多商品\n\n## 工具说明\n\n### get_lowest_picks\n\n获取京东自营历史最低价精选商品列表。\n\n**参数：**\n\n| 参数 | 类型 | 必填 | 默认值 | 说明 |\n|------|------|------|--------|------|\n| keyword | string | 否 | 空 | 品类或商品关键词，如\"手机\"、\"家电\"、\"美妆\"。支持模糊匹配，如\"家电\"可匹配\"家用电器\" |\n| max_price | number | 否 | 0 | 价格上限（元），0表示不限。如设100表示筛选到手价≤100元的商品 |\n| sort | string | 否 | score | 排序方式：score=综合评分、price=到手价升序、drop=降价幅度降序 |\n| min_good_comments | number | 否 | 97 | 好评率下限（%），可选97/98/99/100。指定后好评率不降级，只放宽销量门槛 |\n| page | integer | 否 | 1 | 页码，每页返回50条 |\n\n**返回内容：**\n\n- 商品名称、图片、到手价、原价、降价幅度\n- 好评率、30天销量、品牌、店铺名称\n- 京东商品购买链接\n- 当前筛选条件摘要和商品总数\n- 热门分类引导（无关键词浏览时）\n\n## 使用示例\n\n### 1. 浏览推荐好货\n\n不传任何参数，获取默认推荐的抄底好货列表（第1页50条）。\n\n### 2. 关键词搜索\n\n`keyword: \"手机\"` — 搜索手机相关的历史最低价商品。\n\n### 3. 价格筛选\n\n`max_price: 100` — 查看到手价100元以内的抄底好货。\n\n### 4. 好评率筛选\n\n`min_good_comments: 99` — 只看好评率≥99%的商品，好评率不会自动放宽。\n\n### 5. 降价幅度排序\n\n`sort: \"drop\"` — 按降价幅度从大到小排列，优先展示降幅最大的抄底好货。\n\n### 6. 综合筛选\n\n`keyword: \"家电\", max_price: 500, sort: \"drop\"` — 搜索500元以内的家电商品，按降价幅度从大到小排列。\n\n## 品质说明\n\n- 所有商品均为京东自营，品质有保障\n- 好评率≥97%为硬性底线，任何情况下都不会推荐低于此标准的商品\n- 默认推荐好评≥97%、销量≥500的抄底好货\n- 当符合条件商品较少时，服务会自动放宽销量要求（500→100→不限），确保用户能看到更多可选商品\n- 用户自定义好评率时（如设98%或100%），将严格按照指定标准筛选，不会自动放宽好评率\n\n## 注意事项\n\n- 历史最低价商品可能很快售罄，看到合适的建议尽快下单\n- 最低价商品更新较快，可以多次查询发现新好货\n- 购买链接点击后自动识别设备，手机端有京东APP则唤起APP\n- 降价幅度为参考价与到手价的差额，实际以下单价格为准\n\n## 环境变量\n\n| 变量名 | 说明 | 默认值 |\n|--------|------|--------|\n| PROXY_URL | 服务代理地址 | 内置默认地址 |\n| PROXY_TOKEN | 代理认证Token | 内置默认Token |\n\n无需额外配置即可使用。如需切换服务地址，可通过环境变量覆盖。\n\nFile v1.1.1:魔搭-服务描述.md\n\n京东自营历史最低价MCP服务，基于京东官方精选频道数据，为AI助手提供发现型商品推荐能力，专注\"历史最低价\"频道精选好货。只展示京东自营商品，好评率≥97%为硬性品质底线，默认推荐好评≥97%、销量≥500的抄底好货。\n\n支持按品类关键词（如\"手机\"\"家电\"\"美妆\"）、价格上限（如\"100元以内\"）、好评率（如98%/99%/100%）多维度筛选，支持综合评分、到手价、降价幅度三种排序方式。智能降级机制确保稀缺品类也能返回可用结果：先放宽销量门槛（500→100→不限），好评率用户指定时不降级。\n\n1个工具覆盖全场景：get_lowest_picks 接受品类关键词、最高价格、排序方式、最低好评率、页码五个可选参数，服务端自动完成筛选过滤、智能排序、分页返回，每页50条精选商品。无关键词时返回综合热门推荐并引导品类浏览，有关键词时精准匹配品类和商品名，结果稀缺时提醒好货稀缺先到先得。\n\n冷启动自动重试机制：首次查询触发数据预热，短超时检测后自动长超时重试，约30秒完成缓存建立。12小时缓存周期，兼顾数据新鲜度和响应速度。\n\n纯urllib零外部依赖，MCP配置即接入，无需额外申请Key，结构化返回适配各类Agent框架。\n\nArchive v1.1.0: 7 files, 18883 bytes\n\nFiles: scf_index.py (27956b), scripts/main.py (10771b), skill-card.md (2622b), SKILL.md (4481b), 魔搭-README.md (3538b), 魔搭-服务描述.md (1367b), _meta.json (134b)\n\nFile v1.1.0:SKILL.md\n\n---\nname: jd-lowest-price\ndisplay_name: \"京东自营历史最低价\"\ndescription: \"提供京东历史最低价商品查询工具，展示正处于历史最低价格的商品，仅筛选京东自营商品，已精选好评≥97%、销量≥500的品质商品，支持按品类关键词、价格筛选和多种排序，结果不足时自动降级保证推荐数量。\"\ntags: [京东, 历史最低价, 抄底, 捡漏, 最低价, 降价, 京东优惠, 历史低价, 京东好价, 京东自营, jd, price, shopping]\ntools:\n - name: get_lowest_picks\n description: 查询京东历史最低价商品，仅筛选京东自营商品，已精选好评≥97%、销量≥500的品质好货，按品类关键词、价格筛选和排序\n env:\n - name: PROXY_TOKEN\n description: 代理认证Token（自动配置，无需手动设置）\n required: false\n parameters:\n - name: keyword\n type: string\n description: 品类、品牌或商品关键词，如\"家电\"\"手机\"\"小米\"。为空则返回全部推荐\n required: false\n - name: max_price\n type: number\n description: 最高到手价，0表示不限，默认0\n required: false\n - name: sort\n type: string\n description: 排序方式，score=综合推荐(默认)，price=到手价从低到高，drop=降价幅度从高到低\n required: false\n - name: min_good_comments\n type: number\n description: 最低好评率，默认97，可选98/99/100。指定后好评率不降级，只放宽销量门槛\n required: false\n - name: page\n type: number\n description: 页码，每页50条，默认1\n required: false\n---\n\n# 京东自营历史最低价\n\n提供京东历史最低价商品查询工具，展示正处于历史最低价格的商品，基于京东官方数据。仅筛选京东自营商品，品质有保障。默认精选好评≥97%、近30天销量≥500的品质商品，结果不足时自动逐级降级（先降销量到≥100，再降到不限），保证每次查询都有推荐。\n\n## 能做什么\n\n- **历史最低价查询**：展示京东上正处于历史最低价格的商品，已精选好评≥97%、销量≥500的品质商品\n- **品类筛选**：按关键词筛选特定品类的抄底商品（支持模糊匹配，如\"家电\"可匹配\"家用电器\"）\n- **品牌筛选**：按品牌名匹配商品（如\"小米\"\"华为\"）\n- **价格筛选**：设置最高到手价，锁定预算范围\n- **多种排序**：综合推荐、价格从低到高、降价幅度从高到低\n- **品质自定义**：可自定义最低好评率（97/98/99/100），指定后好评率不降级，只放宽销量门槛\n- **动态降级**：结果不足时自动放宽销量门槛（500→100→不限），保证推荐数量\n- **翻页浏览**：每页50条，说\"下一页\"查看更多\n- **分类导览**：不带关键词时展示热门分类，引导按品类浏览\n\n## 不能做什么\n\n- 不能下单购买，只提供商品信息和购买链接\n- 不能查询某件商品的历史价格曲线\n- 不能设置降价提醒通知\n\n## 使用示例\n\n1. \"京东历史最低价有什么好货\" → 返回全部第1页+分类导览\n2. \"帮我找100元以内的抄底好货\" → 按价格筛选\n3. \"京东历史最低价的手机\" → 按品类筛选\n4. \"2000元以下的手机最低价\" → 品类+价格组合筛选\n5. \"最便宜的历史最低价商品\" → 按到手价排序\n6. \"降价最多的好货\" → 按降价幅度排序\n7. \"下一页\" → 查看更多商品\n\n## 注意事项\n\n- 历史最低价商品数量较多（约1000条），热门品类竞争激烈\n- 最低价商品可能很快售罄，看到合适的建议尽快下单\n- 仅筛选京东自营商品，专卖店和个人店已自动剔除\n- 好评率97%为品质底线，系统不会降级到97%以下\n- **数据流向说明**：查询通过云端代理转发到京东官方API，代理不存储用户数据\n\n## 使用提示\n\n- keyword为空时返回全部推荐，并展示热门分类引导浏览\n- 带品类关键词时结果较少属正常现象，说明符合条件的好货稀缺\n- sort=price按到手价从低到高，适合找最便宜的\n- sort=drop按降价幅度排序，适合找降幅最大的抄底好货\n- min_good_comments设为99或100时，筛选更严格但结果可能更少\n- max_price设置价格上限，避免看到超预算商品\n- 购买链接点击后自动识别设备，手机端有京东APP则唤起APP\n\nFile v1.1.0:_meta.json\n\n{\n \"ownerId\": \"kn7e1mfbeh2h71wg876t0sb8gx884fjb\",\n \"slug\": \"jd-lowest-price\",\n \"version\": \"1.1.0\",\n \"publishedAt\": 1781919627820\n}\n\nFile v1.1.0:skill-card.md\n\n## Description:
\n京东自营历史最低价 helps agents query JD self-operated products that are presented as current historical-low-price picks, with keyword, price, rating, sorting, and pagination filters.
\n\nThis skill is ready for commercial/non-commercial use.
\n\n## Publisher:
\n[cn-shopping](https://clawhub.ai/user/cn-shopping)
\n\n### License/Terms of Use:
\nMIT-0
\n\n\n## Use Case:
\nConsumers and shopping assistants use this skill to find JD self-operated products that match historical-low-price, price, rating, sales, category, and sorting criteria. It returns product recommendations and purchase links but does not place orders, track price history for a single item, or create price alerts.
\n\n### Deployment Geography for Use:
\nGlobal
\n\n## Known Risks and Mitigations:
\nRisk: Shopping search terms are sent through the publisher's Tencent SCF proxy before reaching JD services.
\nMitigation: Review the publisher and proxy behavior before installation, and avoid entering sensitive personal information in search terms.
\nRisk: The authoritative security summary flags that the packaged backend exposes broader JD affiliate and query behavior than the visible lowest-price tool describes.
\nMitigation: Use the skill only for the documented lowest-price query workflow, review generated product links before following them, and keep the backend under security review if deployed in a managed environment.
\nRisk: Prices, availability, seller status, and discount links can change quickly after the skill returns results.
\nMitigation: Verify final price, seller, coupon, and checkout details directly on JD before making a purchase decision.
\n\n\n## Reference(s):
\n- [ClawHub skill page](https://clawhub.ai/cn-shopping/jd-lowest-price)
\n\n\n## Skill Output:
\n**Output Type(s):** [Text, JSON, Guidance]
\n**Output Format:** [JSON string containing structured product results and a natural-language summary]
\n**Output Parameters:** [1D]
\n**Other Properties Related to Output:** [Results may include product names, prices, price drops, shop names, brand names, categories, image URLs, purchase links, ratings, sales counts, filters, pagination status, and category guidance.]
\n\n## Skill Version(s):
\n1.1.0 (source: server release evidence)
\n\n## Ethical Considerations:
\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.
\n\nFile v1.1.0:魔搭-README.md\n\n# 京东自营历史最低价\n\n## 简介\n\n本服务从京东历史最低价频道中精选高品质京东自营商品，为用户提供智能化的抄底商品推荐。服务自动筛选好评率高、降价幅度大的优质商品，帮助用户在众多最低价商品中快速找到值得入手的好货。\n\n## 核心特色\n\n- **品质保障**：所有推荐商品均为京东自营，好评率≥97%为硬性底线\n- **智能筛选**：默认推荐好评≥97%、销量≥500的抄底好货\n- **多维过滤**：支持按关键词、价格上限、好评率自定义筛选\n- **灵活排序**：支持按综合评分、到手价、降价幅度排序\n- **分页浏览**：每页50条，支持翻页浏览更多商品\n\n## 工具说明\n\n### get_lowest_picks\n\n获取京东自营历史最低价精选商品列表。\n\n**参数：**\n\n| 参数 | 类型 | 必填 | 默认值 | 说明 |\n|------|------|------|--------|------|\n| keyword | string | 否 | 空 | 品类或商品关键词，如\"手机\"、\"家电\"、\"美妆\"。支持模糊匹配，如\"家电\"可匹配\"家用电器\" |\n| max_price | number | 否 | 0 | 价格上限（元），0表示不限。如设100表示筛选到手价≤100元的商品 |\n| sort | string | 否 | score | 排序方式：score=综合评分、price=到手价升序、drop=降价幅度降序 |\n| min_good_comments | number | 否 | 97 | 好评率下限（%），可选97/98/99/100。指定后好评率不降级，只放宽销量门槛 |\n| page | integer | 否 | 1 | 页码，每页返回50条 |\n\n**返回内容：**\n\n- 商品名称、图片、到手价、原价、降价幅度\n- 好评率、30天销量、品牌、店铺名称\n- 京东商品购买链接\n- 当前筛选条件摘要和商品总数\n- 热门分类引导（无关键词浏览时）\n\n## 使用示例\n\n### 1. 浏览推荐好货\n\n不传任何参数，获取默认推荐的抄底好货列表（第1页50条）。\n\n### 2. 关键词搜索\n\n`keyword: \"手机\"` — 搜索手机相关的历史最低价商品。\n\n### 3. 价格筛选\n\n`max_price: 100` — 查看到手价100元以内的抄底好货。\n\n### 4. 好评率筛选\n\n`min_good_comments: 99` — 只看好评率≥99%的商品，好评率不会自动放宽。\n\n### 5. 降价幅度排序\n\n`sort: \"drop\"` — 按降价幅度从大到小排列，优先展示降幅最大的抄底好货。\n\n### 6. 综合筛选\n\n`keyword: \"家电\", max_price: 500, sort: \"drop\"` — 搜索500元以内的家电商品，按降价幅度从大到小排列。\n\n## 品质说明\n\n- 所有商品均为京东自营，品质有保障\n- 好评率≥97%为硬性底线，任何情况下都不会推荐低于此标准的商品\n- 默认推荐好评≥97%、销量≥500的抄底好货\n- 当符合条件商品较少时，服务会自动放宽销量要求（500→100→不限），确保用户能看到更多可选商品\n- 用户自定义好评率时（如设98%或100%），将严格按照指定标准筛选，不会自动放宽好评率\n\n## 注意事项\n\n- 历史最低价商品可能很快售罄，看到合适的建议尽快下单\n- 最低价商品更新较快，可以多次查询发现新好货\n- 购买链接点击后自动识别设备，手机端有京东APP则唤起APP\n- 降价幅度为参考价与到手价的差额，实际以下单价格为准\n\n## 环境变量\n\n| 变量名 | 说明 | 默认值 |\n|--------|------|--------|\n| PROXY_URL | 服务代理地址 | 内置默认地址 |\n| PROXY_TOKEN | 代理认证Token | 内置默认Token |\n\n无需额外配置即可使用。如需切换服务地址，可通过环境变量覆盖。\n\nFile v1.1.0:魔搭-服务描述.md\n\n京东自营历史最低价MCP服务，基于京东官方精选频道数据，为AI助手提供发现型商品推荐能力，专注\"历史最低价\"频道精选好货。只展示京东自营商品，好评率≥97%为硬性品质底线，默认推荐好评≥97%、销量≥500的抄底好货。\n\n支持按品类关键词（如\"手机\"\"家电\"\"美妆\"）、价格上限（如\"100元以内\"）、好评率（如98%/99%/100%）多维度筛选，支持综合评分、到手价、降价幅度三种排序方式。智能降级机制确保稀缺品类也能返回可用结果：先放宽销量门槛（500→100→不限），好评率用户指定时不降级。\n\n1个工具覆盖全场景：get_lowest_picks 接受品类关键词、最高价格、排序方式、最低好评率、页码五个可选参数，服务端自动完成筛选过滤、智能排序、分页返回，每页50条精选商品。无关键词时返回综合热门推荐并引导品类浏览，有关键词时精准匹配品类和商品名，结果稀缺时提醒好货稀缺先到先得。\n\n冷启动自动重试机制：首次查询触发数据预热，短超时检测后自动长超时重试，约30秒完成缓存建立。12小时缓存周期，兼顾数据新鲜度和响应速度。\n\n纯urllib零外部依赖，MCP配置即接入，无需额外申请Key，结构化返回适配各类Agent框架。\n\nArchive v0.3.1: 7 files, 18719 bytes\n\nFiles: scf_index.py (27956b), scripts/main.py (10771b), skill-card.md (2367b), SKILL.md (4481b), 魔搭-README.md (3538b), 魔搭-服务描述.md (1367b), _meta.json (134b)\n\nFile v0.3.1:SKILL.md\n\n---\nname: jd-lowest-price\ndisplay_name: \"京东自营历史最低价\"\ndescription: \"提供京东历史最低价商品查询工具，展示正处于历史最低价格的商品，仅筛选京东自营商品，已精选好评≥97%、销量≥500的品质商品，支持按品类关键词、价格筛选和多种排序，结果不足时自动降级保证推荐数量。\"\ntags: [京东, 历史最低价, 抄底, 捡漏, 最低价, 降价, 京东优惠, 历史低价, 京东好价, 京东自营, jd, price, shopping]\ntools:\n - name: get_lowest_picks\n description: 查询京东历史最低价商品，仅筛选京东自营商品，已精选好评≥97%、销量≥500的品质好货，按品类关键词、价格筛选和排序\n env:\n - name: PROXY_TOKEN\n description: 代理认证Token（自动配置，无需手动设置）\n required: false\n parameters:\n - name: keyword\n type: string\n description: 品类、品牌或商品关键词，如\"家电\"\"手机\"\"小米\"。为空则返回全部推荐\n required: false\n - name: max_price\n type: number\n description: 最高到手价，0表示不限，默认0\n required: false\n - name: sort\n type: string\n description: 排序方式，score=综合推荐(默认)，price=到手价从低到高，drop=降价幅度从高到低\n required: false\n - name: min_good_comments\n type: number\n description: 最低好评率，默认97，可选98/99/100。指定后好评率不降级，只放宽销量门槛\n required: false\n - name: page\n type: number\n description: 页码，每页50条，默认1\n required: false\n---\n\n# 京东自营历史最低价\n\n提供京东历史最低价商品查询工具，展示正处于历史最低价格的商品，基于京东官方数据。仅筛选京东自营商品，品质有保障。默认精选好评≥97%、近30天销量≥500的品质商品，结果不足时自动逐级降级（先降销量到≥100，再降到不限），保证每次查询都有推荐。\n\n## 能做什么\n\n- **历史最低价查询**：展示京东上正处于历史最低价格的商品，已精选好评≥97%、销量≥500的品质商品\n- **品类筛选**：按关键词筛选特定品类的抄底商品（支持模糊匹配，如\"家电\"可匹配\"家用电器\"）\n- **品牌筛选**：按品牌名匹配商品（如\"小米\"\"华为\"）\n- **价格筛选**：设置最高到手价，锁定预算范围\n- **多种排序**：综合推荐、价格从低到高、降价幅度从高到低\n- **品质自定义**：可自定义最低好评率（97/98/99/100），指定后好评率不降级，只放宽销量门槛\n- **动态降级**：结果不足时自动放宽销量门槛（500→100→不限），保证推荐数量\n- **翻页浏览**：每页50条，说\"下一页\"查看更多\n- **分类导览**：不带关键词时展示热门分类，引导按品类浏览\n\n## 不能做什么\n\n- 不能下单购买，只提供商品信息和购买链接\n- 不能查询某件商品的历史价格曲线\n- 不能设置降价提醒通知\n\n## 使用示例\n\n1. \"京东历史最低价有什么好货\" → 返回全部第1页+分类导览\n2. \"帮我找100元以内的抄底好货\" → 按价格筛选\n3. \"京东历史最低价的手机\" → 按品类筛选\n4. \"2000元以下的手机最低价\" → 品类+价格组合筛选\n5. \"最便宜的历史最低价商品\" → 按到手价排序\n6. \"降价最多的好货\" → 按降价幅度排序\n7. \"下一页\" → 查看更多商品\n\n## 注意事项\n\n- 历史最低价商品数量较多（约1000条），热门品类竞争激烈\n- 最低价商品可能很快售罄，看到合适的建议尽快下单\n- 仅筛选京东自营商品，专卖店和个人店已自动剔除\n- 好评率97%为品质底线，系统不会降级到97%以下\n- **数据流向说明**：查询通过云端代理转发到京东官方API，代理不存储用户数据\n\n## 使用提示\n\n- keyword为空时返回全部推荐，并展示热门分类引导浏览\n- 带品类关键词时结果较少属正常现象，说明符合条件的好货稀缺\n- sort=price按到手价从低到高，适合找最便宜的\n- sort=drop按降价幅度排序，适合找降幅最大的抄底好货\n- min_good_comments设为99或100时，筛选更严格但结果可能更少\n- max_price设置价格上限，避免看到超预算商品\n- 购买链接点击后自动识别设备，手机端有京东APP则唤起APP\n\nFile v0.3.1:_meta.json\n\n{\n \"ownerId\": \"kn7e1mfbeh2h71wg876t0sb8gx884fjb\",\n \"slug\": \"jd-lowest-price\",\n \"version\": \"0.3.1\",\n \"publishedAt\": 1781884062718\n}\n\nFile v0.3.1:skill-card.md\n\n## Description:
\nProvides a JD.com historical-low-price product query tool that filters and sorts shopping recommendations by keyword, price, rating threshold, and page.
\n\nThis skill is ready for commercial/non-commercial use.
\n\n## Publisher:
\n[cn-shopping](https://clawhub.ai/user/cn-shopping)
\n\n### License/Terms of Use:
\nMIT-0
\n\n\n## Use Case:
\nExternal shoppers and shopping assistants use this skill to discover JD.com products currently reported at historical low prices, narrow results by category, budget, rating threshold, and sort order, and return product summaries with purchase links.
\n\n### Deployment Geography for Use:
\nGlobal
\n\n## Known Risks and Mitigations:
\nRisk: The included server code is broader than the advertised shopping query workflow.
\nMitigation: Review the packaged server behavior before installation and limit use to the advertised get_lowest_picks workflow when broader proxy or affiliate capabilities are not acceptable.
\nRisk: Returned recommendations may include non-self-operated store results despite self-operated wording.
\nMitigation: Verify seller information in returned fields such as shop_name and is_self before relying on a result as JD self-operated.
\nRisk: Shopping queries are sent to a remote proxy before reaching JD.com services.
\nMitigation: Avoid sensitive search terms and review the proxy endpoint and token configuration before deployment.
\n\n\n## Reference(s):
\n- [ClawHub skill page](https://clawhub.ai/cn-shopping/jd-lowest-price)
\n- [Publisher profile](https://clawhub.ai/user/cn-shopping)
\n\n\n## Skill Output:
\n**Output Type(s):** [text, JSON]
\n**Output Format:** [JSON string containing a summary and structured product results]
\n**Output Parameters:** [1D]
\n**Other Properties Related to Output:** [Each result can include product name, prices, discount amount, seller, brand, category, image URL, purchase URL, recent sales, rating share, and score.]
\n\n## Skill Version(s):
\n0.3.1 (source: ClawHub release evidence)
\n\n## Ethical Considerations:
\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.
\n\nFile v0.3.1:魔搭-README.md\n\n# 京东自营历史最低价\n\n## 简介\n\n本服务从京东历史最低价频道中精选高品质京东自营商品，为用户提供智能化的抄底商品推荐。服务自动筛选好评率高、降价幅度大的优质商品，帮助用户在众多最低价商品中快速找到值得入手的好货。\n\n## 核心特色\n\n- **品质保障**：所有推荐商品均为京东自营，好评率≥97%为硬性底线\n- **智能筛选**：默认推荐好评≥97%、销量≥500的抄底好货\n- **多维过滤**：支持按关键词、价格上限、好评率自定义筛选\n- **灵活排序**：支持按综合评分、到手价、降价幅度排序\n- **分页浏览**：每页50条，支持翻页浏览更多商品\n\n## 工具说明\n\n### get_lowest_picks\n\n获取京东自营历史最低价精选商品列表。\n\n**参数：**\n\n| 参数 | 类型 | 必填 | 默认值 | 说明 |\n|------|------|------|--------|------|\n| keyword | string | 否 | 空 | 品类或商品关键词，如\"手机\"、\"家电\"、\"美妆\"。支持模糊匹配，如\"家电\"可匹配\"家用电器\" |\n| max_price | number | 否 | 0 | 价格上限（元），0表示不限。如设100表示筛选到手价≤100元的商品 |\n| sort | string | 否 | score | 排序方式：score=综合评分、price=到手价升序、drop=降价幅度降序 |\n| min_good_comments | number | 否 | 97 | 好评率下限（%），可选97/98/99/100。指定后好评率不降级，只放宽销量门槛 |\n| page | integer | 否 | 1 | 页码，每页返回50条 |\n\n**返回内容：**\n\n- 商品名称、图片、到手价、原价、降价幅度\n- 好评率、30天销量、品牌、店铺名称\n- 京东商品购买链接\n- 当前筛选条件摘要和商品总数\n- 热门分类引导（无关键词浏览时）\n\n## 使用示例\n\n### 1. 浏览推荐好货\n\n不传任何参数，获取默认推荐的抄底好货列表（第1页50条）。\n\n### 2. 关键词搜索\n\n`keyword: \"手机\"` — 搜索手机相关的历史最低价商品。\n\n### 3. 价格筛选\n\n`max_price: 100` — 查看到手价100元以内的抄底好货。\n\n### 4. 好评率筛选\n\n`min_good_comments: 99` — 只看好评率≥99%的商品，好评率不会自动放宽。\n\n### 5. 降价幅度排序\n\n`sort: \"drop\"` — 按降价幅度从大到小排列，优先展示降幅最大的抄底好货。\n\n### 6. 综合筛选\n\n`keyword: \"家电\", max_price: 500, sort: \"drop\"` — 搜索500元以内的家电商品，按降价幅度从大到小排列。\n\n## 品质说明\n\n- 所有商品均为京东自营，品质有保障\n- 好评率≥97%为硬性底线，任何情况下都不会推荐低于此标准的商品\n- 默认推荐好评≥97%、销量≥500的抄底好货\n- 当符合条件商品较少时，服务会自动放宽销量要求（500→100→不限），确保用户能看到更多可选商品\n- 用户自定义好评率时（如设98%或100%），将严格按照指定标准筛选，不会自动放宽好评率\n\n## 注意事项\n\n- 历史最低价商品可能很快售罄，看到合适的建议尽快下单\n- 最低价商品更新较快，可以多次查询发现新好货\n- 购买链接点击后自动识别设备，手机端有京东APP则唤起APP\n- 降价幅度为参考价与到手价的差额，实际以下单价格为准\n\n## 环境变量\n\n| 变量名 | 说明 | 默认值 |\n|--------|------|--------|\n| PROXY_URL | 服务代理地址 | 内置默认地址 |\n| PROXY_TOKEN | 代理认证Token | 内置默认Token |\n\n无需额外配置即可使用。如需切换服务地址，可通过环境变量覆盖。\n\nFile v0.3.1:魔搭-服务描述.md\n\n京东自营历史最低价MCP服务，基于京东官方精选频道数据，为AI助手提供发现型商品推荐能力，专注\"历史最低价\"频道精选好货。只展示京东自营商品，好评率≥97%为硬性品质底线，默认推荐好评≥97%、销量≥500的抄底好货。\n\n支持按品类关键词（如\"手机\"\"家电\"\"美妆\"）、价格上限（如\"100元以内\"）、好评率（如98%/99%/100%）多维度筛选，支持综合评分、到手价、降价幅度三种排序方式。智能降级机制确保稀缺品类也能返回可用结果：先放宽销量门槛（500→100→不限），好评率用户指定时不降级。\n\n1个工具覆盖全场景：get_lowest_picks 接受品类关键词、最高价格、排序方式、最低好评率、页码五个可选参数，服务端自动完成筛选过滤、智能排序、分页返回，每页50条精选商品。无关键词时返回综合热门推荐并引导品类浏览，有关键词时精准匹配品类和商品名，结果稀缺时提醒好货稀缺先到先得。\n\n冷启动自动重试机制：首次查询触发数据预热，短超时检测后自动长超时重试，约30秒完成缓存建立。12小时缓存周期，兼顾数据新鲜度和响应速度。\n\n纯urllib零外部依赖，MCP配置即接入，无需额外申请Key，结构化返回适配各类Agent框架。\n\nArchive v0.3.0: 7 files, 19093 bytes\n\nFiles: scf_index.py (27956b), scripts/main.py (10771b), skill-card.md (2722b), SKILL.md (4577b), 魔搭-README.md (3538b), 魔搭-服务描述.md (1367b), _meta.json (134b)\n\nFile v0.3.0:SKILL.md\n\n---\nname: jd-lowest-price\ndisplay_name: \"京东自营历史最低价\"\ndescription: \"零配置即装即用，提供京东历史最低价商品查询工具，展示正处于历史最低价格的商品，只展示京东自营和旗舰店商品，已精选好评≥97%、销量≥500的品质商品，支持按品类关键词、价格筛选和多种排序，结果不足时自动降级保证推荐数量。\"\ntags: [京东, 历史最低价, 抄底, 捡漏, 最低价, 降价, 京东优惠, 历史低价, 京东好价, 京东自营, jd, price, shopping]\ntools:\n - name: get_lowest_picks\n description: 查询京东历史最低价商品，只展示京东自营和旗舰店商品，已精选好评≥97%、销量≥500的品质好货，按品类关键词、价格筛选和排序\n env:\n - name: PROXY_TOKEN\n description: 代理认证Token（自动配置，无需手动设置）\n required: false\n parameters:\n - name: keyword\n type: string\n description: 品类、品牌或商品关键词，如\"家电\"\"手机\"\"小米\"。为空则返回全部推荐\n required: false\n - name: max_price\n type: number\n description: 最高到手价，0表示不限，默认0\n required: false\n - name: sort\n type: string\n description: 排序方式，score=综合推荐(默认)，price=到手价从低到高，drop=降价幅度从高到低\n required: false\n - name: min_good_comments\n type: number\n description: 最低好评率，默认97，可选98/99/100。指定后好评率不降级，只放宽销量门槛\n required: false\n - name: page\n type: number\n description: 页码，每页50条，默认1\n required: false\n---\n\n# 京东自营历史最低价\n\n零配置即装即用，提供京东历史最低价商品查询工具，展示正处于历史最低价格的商品，基于京东官方数据。只展示京东自营和旗舰店商品，品质有保障。默认精选好评≥97%、近30天销量≥500的品质商品，结果不足时自动逐级降级（先降销量到≥100，再降到不限），保证每次查询都有推荐。\n\n## 能做什么\n\n- **历史最低价查询**：展示京东上正处于历史最低价格的商品，已精选好评≥97%、销量≥500的品质商品\n- **品类筛选**：按关键词筛选特定品类的抄底商品（支持模糊匹配，如\"家电\"可匹配\"家用电器\"）\n- **品牌筛选**：按品牌名匹配商品（如\"小米\"\"华为\"）\n- **价格筛选**：设置最高到手价，锁定预算范围\n- **多种排序**：综合推荐、价格从低到高、降价幅度从高到低\n- **品质自定义**：可自定义最低好评率（97/98/99/100），指定后好评率不降级，只放宽销量门槛\n- **动态降级**：结果不足时自动放宽销量门槛（500→100→不限），保证推荐数量\n- **翻页浏览**：每页50条，说\"下一页\"查看更多\n- **分类导览**：不带关键词时展示热门分类，引导按品类浏览\n\n## 不能做什么\n\n- 不能下单购买，只提供商品信息和购买链接\n- 不能查询某件商品的历史价格曲线\n- 不能设置降价提醒通知\n\n## 使用示例\n\n1. \"京东历史最低价有什么好货\" → 返回全部第1页+分类导览\n2. \"帮我找100元以内的抄底好货\" → 按价格筛选\n3. \"京东历史最低价的手机\" → 按品类筛选\n4. \"2000元以下的手机最低价\" → 品类+价格组合筛选\n5. \"最便宜的历史最低价商品\" → 按到手价排序\n6. \"降价最多的好货\" → 按降价幅度排序\n7. \"下一页\" → 查看更多商品\n\n## 注意事项\n\n- 历史最低价商品数量较多（约1000条），热门品类竞争激烈\n- 最低价商品可能很快售罄，看到合适的建议尽快下单\n- 只展示京东自营和旗舰店商品，专卖店和个人店已自动剔除\n- 好评率97%为品质底线，系统不会降级到97%以下\n- **数据流向说明**：查询通过云端代理转发到京东官方API，代理不存储用户数据\n\n## 使用提示\n\n- keyword为空时返回全部推荐，并展示热门分类引导浏览\n- 带品类关键词时结果较少属正常现象，说明符合条件的好货稀缺\n- sort=price按到手价从低到高，适合找最便宜的\n- sort=drop按降价幅度排序，适合找降幅最大的抄底好货\n- min_good_comments设为99或100时，筛选更严格但结果可能更少\n- max_price设置价格上限，避免看到超预算商品\n- 购买链接点击后自动识别设备，手机端有京东APP则唤起APP\n\nFile v0.3.0:_meta.json\n\n{\n \"ownerId\": \"kn7e1mfbeh2h71wg876t0sb8gx884fjb\",\n \"slug\": \"jd-lowest-price\",\n \"version\": \"0.3.0\",\n \"publishedAt\": 1781874553770\n}\n\nFile v0.3.0:skill-card.md\n\n## Description:
\n零配置即装即用，提供京东历史最低价商品查询工具，展示正处于历史最低价格的商品，只展示京东自营和旗舰店商品，已精选好评≥97%、销量≥500的品质商品，支持按品类关键词、价格筛选和多种排序，结果不足时自动降级保证推荐数量。
\n\nThis skill is ready for commercial/non-commercial use.
\n\n## Publisher:
\n[cn-shopping](https://clawhub.ai/user/cn-shopping)
\n\n### License/Terms of Use:
\nMIT-0
\n\n\n## Use Case:
\nExternal shoppers and shopping agents use this skill to discover JD self-operated or flagship-store products currently presented as historical-low-price picks, then filter by category or brand keyword, maximum price, review rate, sort order, and page.
\n\n### Deployment Geography for Use:
\nGlobal
\n\n## Known Risks and Mitigations:
\nRisk: Shopping queries are sent through the publisher's cloud proxy.
\nMitigation: Use the skill for nonsensitive product discovery and review the publisher's trust, privacy, and operational posture before installation.
\nRisk: Server evidence reports a reusable proxy token and broader JD affiliate/search proxy actions than the public tool description covers.
\nMitigation: Install only if comfortable with the publisher maintaining that shared backend access, and review updates or scans before deployment.
\nRisk: Product availability, seller status, and prices can change quickly after recommendations are returned.
\nMitigation: Confirm the final price, seller, and purchase terms on JD before acting on a recommendation.
\n\n\n## Reference(s):
\n- [ClawHub skill page](https://clawhub.ai/cn-shopping/jd-lowest-price)
\n- [Publisher profile](https://clawhub.ai/user/cn-shopping)
\n- [Skill definition](artifact/SKILL.md)
\n- [魔搭 README](artifact/魔搭-README.md)
\n- [魔搭 服务描述](artifact/魔搭-服务描述.md)
\n\n\n## Skill Output:
\n**Output Type(s):** [text, markdown, guidance]
\n**Output Format:** [Markdown-style product recommendations with item details, pricing, filters, pagination summaries, and purchase links]
\n**Output Parameters:** [1D]
\n**Other Properties Related to Output:** [Results are paginated at 50 items per page and may include category browsing prompts when no keyword is supplied.]
\n\n## Skill Version(s):
\n0.3.0 (source: server release evidence)
\n\n## Ethical Considerations:
\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.
\n\nFile v0.3.0:魔搭-README.md\n\n# 京东自营历史最低价\n\n## 简介\n\n本服务从京东历史最低价频道中精选高品质京东自营商品，为用户提供智能化的抄底商品推荐。服务自动筛选好评率高、降价幅度大的优质商品，帮助用户在众多最低价商品中快速找到值得入手的好货。\n\n## 核心特色\n\n- **品质保障**：所有推荐商品均为京东自营，好评率≥97%为硬性底线\n- **智能筛选**：默认推荐好评≥97%、销量≥500的抄底好货\n- **多维过滤**：支持按关键词、价格上限、好评率自定义筛选\n- **灵活排序**：支持按综合评分、到手价、降价幅度排序\n- **分页浏览**：每页50条，支持翻页浏览更多商品\n\n## 工具说明\n\n### get_lowest_picks\n\n获取京东自营历史最低价精选商品列表。\n\n**参数：**\n\n| 参数 | 类型 | 必填 | 默认值 | 说明 |\n|------|------|------|--------|------|\n| keyword | string | 否 | 空 | 品类或商品关键词，如\"手机\"、\"家电\"、\"美妆\"。支持模糊匹配，如\"家电\"可匹配\"家用电器\" |\n| max_price | number | 否 | 0 | 价格上限（元），0表示不限。如设100表示筛选到手价≤100元的商品 |\n| sort | string | 否 | score | 排序方式：score=综合评分、price=到手价升序、drop=降价幅度降序 |\n| min_good_comments | number | 否 | 97 | 好评率下限（%），可选97/98/99/100。指定后好评率不降级，只放宽销量门槛 |\n| page | integer | 否 | 1 | 页码，每页返回50条 |\n\n**返回内容：**\n\n- 商品名称、图片、到手价、原价、降价幅度\n- 好评率、30天销量、品牌、店铺名称\n- 京东商品购买链接\n- 当前筛选条件摘要和商品总数\n- 热门分类引导（无关键词浏览时）\n\n## 使用示例\n\n### 1. 浏览推荐好货\n\n不传任何参数，获取默认推荐的抄底好货列表（第1页50条）。\n\n### 2. 关键词搜索\n\n`keyword: \"手机\"` — 搜索手机相关的历史最低价商品。\n\n### 3. 价格筛选\n\n`max_price: 100` — 查看到手价100元以内的抄底好货。\n\n### 4. 好评率筛选\n\n`min_good_comments: 99` — 只看好评率≥99%的商品，好评率不会自动放宽。\n\n### 5. 降价幅度排序\n\n`sort: \"drop\"` — 按降价幅度从大到小排列，优先展示降幅最大的抄底好货。\n\n### 6. 综合筛选\n\n`keyword: \"家电\", max_price: 500, sort: \"drop\"` — 搜索500元以内的家电商品，按降价幅度从大到小排列。\n\n## 品质说明\n\n- 所有商品均为京东自营，品质有保障\n- 好评率≥97%为硬性底线，任何情况下都不会推荐低于此标准的商品\n- 默认推荐好评≥97%、销量≥500的抄底好货\n- 当符合条件商品较少时，服务会自动放宽销量要求（500→100→不限），确保用户能看到更多可选商品\n- 用户自定义好评率时（如设98%或100%），将严格按照指定标准筛选，不会自动放宽好评率\n\n## 注意事项\n\n- 历史最低价商品可能很快售罄，看到合适的建议尽快下单\n- 最低价商品更新较快，可以多次查询发现新好货\n- 购买链接点击后自动识别设备，手机端有京东APP则唤起APP\n- 降价幅度为参考价与到手价的差额，实际以下单价格为准\n\n## 环境变量\n\n| 变量名 | 说明 | 默认值 |\n|--------|------|--------|\n| PROXY_URL | 服务代理地址 | 内置默认地址 |\n| PROXY_TOKEN | 代理认证Token | 内置默认Token |\n\n无需额外配置即可使用。如需切换服务地址，可通过环境变量覆盖。\n\nFile v0.3.0:魔搭-服务描述.md\n\n京东自营历史最低价MCP服务，基于京东官方精选频道数据，为AI助手提供发现型商品推荐能力，专注\"历史最低价\"频道精选好货。只展示京东自营商品，好评率≥97%为硬性品质底线，默认推荐好评≥97%、销量≥500的抄底好货。\n\n支持按品类关键词（如\"手机\"\"家电\"\"美妆\"）、价格上限（如\"100元以内\"）、好评率（如98%/99%/100%）多维度筛选，支持综合评分、到手价、降价幅度三种排序方式。智能降级机制确保稀缺品类也能返回可用结果：先放宽销量门槛（500→100→不限），好评率用户指定时不降级。\n\n1个工具覆盖全场景：get_lowest_picks 接受品类关键词、最高价格、排序方式、最低好评率、页码五个可选参数，服务端自动完成筛选过滤、智能排序、分页返回，每页50条精选商品。无关键词时返回综合热门推荐并引导品类浏览，有关键词时精准匹配品类和商品名，结果稀缺时提醒好货稀缺先到先得。\n\n冷启动自动重试机制：首次查询触发数据预热，短超时检测后自动长超时重试，约30秒完成缓存建立。12小时缓存周期，兼顾数据新鲜度和响应速度。\n\n纯urllib零外部依赖，MCP配置即接入，无需额外申请Key，结构化返回适配各类Agent框架。\n\nArchive v1.0.1: 4 files, 7457 bytes\n\nFiles: scripts/main.py (12757b), skill-card.md (2011b), SKILL.md (3657b), _meta.json (134b)\n\nFile v1.0.1:SKILL.md\n\n---\nname: jd-lowest-price\ndisplay_name: \"京东自营历史最低价\"\ndescription: \"零配置即装即用，提供京东历史最低价商品查询工具，展示正处于历史最低价格的商品，只展示京东自营和旗舰店商品，支持按品类关键词、价格筛选和多种排序，适合抄底捡漏。\"\ntags: [京东, 历史最低价, 抄底, 捡漏, 最低价, 降价, 京东优惠, 历史低价, 京东好价, jd, price, shopping]\ntools:\n - name: get_lowest_picks\n description: 查询京东历史最低价商品，只展示京东自营和旗舰店商品，按品类关键词、价格筛选和排序\n primaryEnv: PROXY_TOKEN\n env:\n - name: PROXY_TOKEN\n description: 代理认证Token（自动配置，无需手动设置）\n required: false\n parameters:\n - name: keyword\n type: string\n description: 品类、品牌或商品关键词，如\"家电\"\"手机\"\"小米\"。为空则返回全部推荐\n required: false\n - name: max_price\n type: number\n description: 最高到手价，0表示不限，默认0\n required: false\n - name: sort\n type: string\n description: 排序方式，score=综合推荐(默认)，price=到手价从低到高，drop=降价幅度从高到低\n required: false\n - name: page\n type: number\n description: 页码，每页50条，默认1\n required: false\n---\n\n# 京东自营历史最低价\n\n零配置即装即用，提供京东历史最低价商品查询工具，展示正处于历史最低价格的商品，基于京东官方数据。只展示京东自营和旗舰店商品，品质有保障。\n\n## 能做什么\n\n- **历史最低价查询**：展示京东上正处于历史最低价格的商品\n- **品类筛选**：按关键词筛选特定品类的抄底商品（支持模糊匹配，如\"家电\"可匹配\"家用电器\"）\n- **品牌筛选**：按品牌名匹配商品（如\"小米\"\"华为\"）\n- **价格筛选**：设置最高到手价，锁定预算范围\n- **多种排序**：综合推荐、价格从低到高、降价幅度从高到低\n- **翻页浏览**：每页50条，说\"下一页\"查看更多\n- **分类导览**：不带关键词时展示热门分类，引导按品类浏览\n\n## 不能做什么\n\n- 不能下单购买，只提供商品信息和购买链接\n- 不能查询某件商品的历史价格曲线\n- 不能设置降价提醒通知\n\n## 使用示例\n\n1. \"京东历史最低价有什么好货\" → 返回全部第1页+分类导览\n2. \"帮我找100元以内的抄底好货\" → 按价格筛选\n3. \"京东历史最低价的手机\" → 按品类筛选\n4. \"2000元以下的手机最低价\" → 品类+价格组合筛选\n5. \"最便宜的历史最低价商品\" → 按到手价排序\n6. \"降价最多的好货\" → 按降价幅度排序\n7. \"下一页\" → 查看更多商品\n\n## 注意事项\n\n- 历史最低价商品数量较多（约1000条），热门品类竞争激烈\n- 最低价商品可能很快售罄，看到合适的建议尽快下单\n- 只展示京东自营和旗舰店商品，专卖店和个人店已自动剔除\n- **数据流向说明**：查询通过云端代理转发到京东官方API，代理不存储用户数据\n\n## 使用提示\n\n- keyword为空时返回全部推荐，并展示热门分类引导浏览\n- 带品类关键词时结果较少属正常现象，说明符合条件的好货稀缺\n- sort=price按到手价从低到高，适合找最便宜的\n- sort=drop按降价幅度排序，适合找降幅最大的抄底好货\n- max_price设置价格上限，避免看到超预算商品\n- 购买链接点击后自动识别设备，手机端有京东APP则唤起APP\n\nFile v1.0.1:_meta.json\n\n{\n \"ownerId\": \"kn7e1mfbeh2h71wg876t0sb8gx884fjb\",\n \"slug\": \"jd-lowest-price\",\n \"version\": \"1.0.1\",\n \"publishedAt\": 1781796818392\n}\n\nFile v1.0.1:skill-card.md\n\n## Description:
\nProvides ready-to-use JD.com historical-low-price product lookup, limited to JD self-operated and flagship-store items, with keyword, price, pagination, scarcity, category, brand, and sorting support.
\n\nThis skill is ready for commercial/non-commercial use.
\n\n## Publisher:
\n[cn-shopping](https://clawhub.ai/user/cn-shopping)
\n\n### License/Terms of Use:
\nMIT-0
\n\n\n## Use Case:
\nExternal shoppers use this skill to find JD.com products that are currently at historical low prices, filter by category, brand, keyword, and price, and compare sorted product results before following purchase links.
\n\n### Deployment Geography for Use:
\nGlobal
\n\n## Known Risks and Mitigations:
\nRisk: Shopping search terms, price filters, and pagination requests are sent through the publisher's cloud proxy.
\nMitigation: Avoid entering sensitive personal information as search keywords and install only if this proxy-based data flow is acceptable.
\nRisk: Generic follow-up phrases such as \"next page\" may continue this shopping search while the skill is active.
\nMitigation: Review the active skill context before using short follow-up commands that could be interpreted as pagination.
\n\n\n## Reference(s):
\n\n\n## Skill Output:
\n**Output Type(s):** [Text, JSON, Guidance]
\n**Output Format:** [JSON payload with product-result data and a concise summary string]
\n**Output Parameters:** [1D]
\n**Other Properties Related to Output:** [Results may include product names, prices, discount percentages, categories, shop names, brands, images, purchase links, and pagination guidance.]
\n\n## Skill Version(s):
\n1.0.1 (source: server release metadata)
\n\n## Ethical Considerations:
\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.
\n\nArchive v1.0.0: 4 files, 5439 bytes\n\nFiles: scripts/main.py (6664b), skill-card.md (2316b), SKILL.md (2241b), _meta.json (134b)\n\nFile v1.0.0:SKILL.md\n\n---\nname: jd-lowest-price\ndisplay_name: \"京东历史最低价\"\ndescription: \"零配置即装即用，提供京东历史最低价商品查询工具，展示正处于历史最低价格的商品，支持按品类关键词和价格筛选，适合抄底捡漏。\"\ntags: [京东, 历史最低价, 抄底, 捡漏, 最低价, 降价, 京东优惠, 历史低价, 京东好价, jd, price, shopping]\ntools:\n - name: get_lowest_picks\n description: 查询京东历史最低价商品，按品类关键词和价格筛选\n primaryEnv: PROXY_TOKEN\n env:\n - name: PROXY_TOKEN\n description: 代理认证Token（自动配置，无需手动设置）\n required: false\n parameters:\n - name: keyword\n type: string\n description: 品类或商品关键词，为空则返回综合推荐\n required: false\n - name: max_price\n type: number\n description: 最高到手价，0表示不限，默认0\n required: false\n---\n\n# 京东历史最低价\n\n零配置即装即用，提供京东历史最低价商品查询工具，展示正处于历史最低价格的商品，基于京东官方数据。\n\n## 能做什么\n\n- **历史最低价查询**：展示京东上正处于历史最低价格的商品\n- **品类筛选**：按关键词筛选特定品类的抄底商品\n- **价格上限**：设置最高到手价，锁定预算范围\n\n## 不能做什么\n\n- 不能下单购买，只提供商品信息和购买链接\n- 不能查询某件商品的历史价格曲线\n- 不能设置降价提醒通知\n\n## 使用示例\n\n1. \"京东有什么历史最低价的好货\"\n2. \"帮我找50元以下的历史最低价商品\"\n3. \"京东历史最低价的数码产品有哪些\"\n\n## 注意事项\n\n- 历史最低价商品数量有限，热门品类竞争激烈\n- 最低价商品可能很快售罄，看到合适的建议尽快下单\n- **数据流向说明**：查询通过云端代理转发到京东官方API，代理不存储用户数据\n\n## 使用提示\n\n- keyword为空时返回综合推荐，适合无明确目标时逛逛\n- max_price设置价格上限，避免看到超预算商品\n- 抄底商品更新较快，可以多刷几次发现新好货\n- 热门品类（手机、电脑、家电）的最低价商品最抢手\n\nFile v1.0.0:_meta.json\n\n{\n \"ownerId\": \"kn7e1mfbeh2h71wg876t0sb8gx884fjb\",\n \"slug\": \"jd-lowest-price\",\n \"version\": \"1.0.0\",\n \"publishedAt\": 1781787416709\n}\n\nFile v1.0.0:skill-card.md\n\n## Description:
\n零配置即装即用，提供京东历史最低价商品查询工具，展示正处于历史最低价格的商品，只展示京东自营和旗舰店商品，支持按品类关键词、价格筛选和多种排序，适合抄底捡漏。
\n\nThis skill is ready for commercial/non-commercial use.
\n\n## Publisher:
\n[cn-shopping](https://clawhub.ai/user/cn-shopping)
\n\n### License/Terms of Use:
\nMIT-0
\n\n\n## Use Case:
\nExternal users use this skill to ask an agent for JD historical-low-price shopping picks, optionally filtered by keyword and maximum price. It returns product information and purchase links for deal discovery, not order placement or price-alert automation.
\n\n### Deployment Geography for Use:
\nGlobal
\n\n## Known Risks and Mitigations:
\nRisk: Shopping search terms, price filters, and usage timing are sent to a disclosed cloud proxy.
\nMitigation: Use non-sensitive keywords and avoid entering personal information, account credentials, or purchase instructions.
\nRisk: Returned shopping results may change quickly or become unavailable before a user acts on them.
\nMitigation: Treat results as deal-discovery guidance and verify price, seller, and availability on JD before purchasing.
\n\n\n## Reference(s):
\n- [ClawHub skill page](https://clawhub.ai/cn-shopping/jd-lowest-price)
\n- [Publisher profile](https://clawhub.ai/user/cn-shopping)
\n- [Cloud proxy endpoint](https://1439498936-9n7zsjnaif.ap-guangzhou.tencentscf.com)
\n\n\n## Skill Output:
\n**Output Type(s):** [text, JSON, API calls, guidance]
\n**Output Format:** [JSON string containing product recommendations or a human-readable status message]
\n**Output Parameters:** [1D]
\n**Other Properties Related to Output:** [Returns up to 15 filtered shopping results with names, prices, discounts, shop details, images, purchase URLs, order counts, and comment scores when data is available.]
\n\n## Skill Version(s):
\n1.0.0 (source: release evidence)
\n\n## Ethical Considerations:
\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.
","readmeExcerpt":"Skill: 京东自营历史最低价 Owner: cn-shopping Summary: 京东历史最低价商品查询，展示正处于历史低价的自营商品，好评≥97%品质精选，支持品类搜索、价格筛选、降价幅度排序，抄底捡漏必备。自动过滤无效标签，智能品类推荐，数据通过腾讯云代理安全转发。暑期历史低价抢购，京东自营超值商品 Tags: latest:1.2.2 Version history: v1.2.2 | 2026-07-15T02:32:44.510Z | user 新增暑期省钱场景支持，覆盖更多消费需求 v1.2.1 | 2026-07-04T05:25:51.468Z | user 修复socket超时问题，优化标签过滤，智能品类推荐 v1.2.0 | 2026-07-01T11:00:08.237Z | user SH standard optimization: Token env var, urllib stdlib, S","codeSnippets":[],"executableExamples":[],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\nname: jd-lowest-price\nslug: jd-lowest-price-new\ndisplayName: 京东历史最低价\nversion: 1.2.1\ndisplay_name: 京东自营历史最低价\ndescription: \"京东历史最低价商品查询，展示正处于历史低价的自营商品，好评≥97%品质精选，支持品类搜索、价格筛选、降价幅度排序，抄底捡漏必备。自动过滤无效标签，智能品类推荐，数据通过腾讯云代理安全转发。暑期历史低价抢购，京东自营超值商品\"\ntags:\n - 历史最低价\n - 京东抄底\n - 京东自营\n - 降价商品\n - 捡漏好货\ntools:\n - name: get_lowest_picks\n description: 查询京东历史最低价商品，仅筛选京东自营商品，已精选好评≥97%、销量≥500的品质好货，按品类关键词、价格筛选和排序\n env:\n - name: PROXY_URL\n description: 代理服务器地址（自动配置，无需手动设置）\n required: false\n - name: PROXY_TOKEN\n description: 代理认证Token（自动配置，无需手动设置）\n required: false\n parameters:\n - name: keyword\n type: string\n description: 品类、品牌或商品关键词，如\"家电\"\"手机\"\"小米\"。为空则返回全部推荐\n required: false\n - name: max_price\n type: number\n description: 最高到手价，0表示不限，默认0\n required: false\n - name: sort\n type: string\n description: 排序方式，score=综合推荐(默认)，price=到手价从低到高，drop=降价幅度从高到低\n required: false\n - name: min_good_comments\n type: number\n description: 最低好评率，默认97，可选98/99/100。指定后好评率不降级，只放宽销量门槛\n required: false\n - name: page\n type: number\n description: 页码，每页50条，默认1\n required: false\n---\n\n# 京东自营历史最低价\n> 正处于历史最低价的京东自营好货，抄底就在此刻\n\n## 📌 简介\n京东历史最低价商品查询工具，展示正处于历史最低价格的自营商品。好评≥97%、销量≥500的品质精选。适合精打细算、想抄底捡漏的用户——现在就是这款商品的最低价格。\n\n## ✨ 核心亮点\n- ✅ **真正的历史低价**：每件商品都处于该商品上市以来的最低价格，不是促销噱头\n- ✅ **抄底神器**：按降价幅度排序，一眼找到折扣最狠的商品\n- ✅ **仅自营**：全部京东自营，品质有保障，售后无忧\n- ✅ **品牌搜索**：支持品牌关键词（如\"小米\"\"华为\"），精准定位品牌好价\n- ✅ **智能降级**：结果不足时自动放宽条件，保证每次查询都有推荐\n\n## 🚀 快速入门\n| 你这样说 | 技能做什么 |\n|---------|----------|\n| \"京东有什么历史最低价商品\" | 返回全部历史低价商品第1页（50条） |\n| \"小米的历史最低价\" | 品牌关键词筛选，找小米的历史低价商品 |\n| \"降价幅度最大的\" | 按降价幅度排序，找折扣最狠的抄底好货 |\n\n## 🔧 核心能力\n1. **历史低价查询**：分页浏览正处于历史最低价的自营商品，每页50条\n2. **品类/品牌搜索**：支持品类、品牌或商品关键词，支持模糊匹配\n3. **价格区间筛选**：设置最高价格，锁定预算范围\n4. **多维度排序**：综合推荐(默认)、到手价从低到高、降价幅度从高到低\n5. **品质自定义**：可指定最低好评率（97/98/99/100），指定后不降级\n6. **动态降级**：结果不足时自动放宽销量门槛，保证推荐数量\n\n## ✅ 能做什么\n- 查询京东正处于历史最低价的自营商品\n- 按品类、品牌、价格筛选，按降价幅度排序\n- 自定义品质标准（好评率门槛）\n- 翻页浏览（每页50条，说\"下一页\"查看更多）\n\n## ❌ 不能做什么\n- 不能下单购买，只提供商品信息和购买链接\n- 不能查询历史价格走势曲线\n- 不能设置降价提醒通知\n\n## 💡 使用提示\n- 数据通过云端代理服务器安全转发至京东联盟API获取商品数据，代理服务不存储用户个人信息和查询数据\n1. sort=drop按降价幅度排序，适合找折扣最狠的抄底好货\n2. keyword支持品牌词（\"小米\"\"华为\"\"海尔\"），精准定位品牌好价\n3. 历史最低价是动态变化的，不同时间查询结果可能不同\n4. 每条商品含商品图片URL（image_url），用 `` 渲染图片\n5. 看到心仪的历史低价建议尽快下手，价格随时可能回调\n\n## 🔗 搭配使用\n- [京东自营超级补贴](https://clawhub.ai/cn-shopping/jd-super-deals)：历史低价 vs 补贴价，哪个更便宜比一比\n- [京东自营9.9包邮](https://clawhub.ai/cn-shopping/jd-99-baoyou)：大件抄底+小件包邮，省钱两不误\n- [购物比价助手](https://clawhub.ai/cn-shopping/best-price)：京东历史低价 vs 其他平台，确认是不是真·全网最低"},{"path":"_meta.json","content":"{\n \"ownerId\": \"kn7e1mfbeh2h71wg876t0sb8gx884fjb\",\n \"slug\": \"jd-lowest-price\",\n \"version\": \"1.2.2\",\n \"publishedAt\": 1784082764510\n}"},{"path":"skill-card.md","content":"## Description:\n\nQueries JD.com self-operated products that are currently at historical low prices, with filters for keyword, maximum price, review rate, pagination, and sorting by recommendation, price, or discount depth.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[cn-shopping](https://clawhub.ai/user/cn-shopping)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nExternal shoppers and shopping assistants use this skill to find JD.com self-operated products that are currently at historical low prices, then narrow results by brand, category, budget, review rate, and discount depth. It provides product information and purchase links, but does not buy products, show historical price curves, or create price alerts.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Shopping search terms are relayed through the publisher's Tencent Cloud proxy.\n\nMitigation: Install only if that proxy data flow is acceptable, and review publisher documentation for data handling, retention, and proxy behavior.\n\nRisk: The skill includes a reusable fallback proxy token.\n\nMitigation: Use an environment-provided token, rotate the exposed token, and remove the hardcoded fallback secret before relying on the skill in managed environments.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/cn-shopping/skills/jd-lowest-price)\n- [Publisher profile](https://clawhub.ai/user/cn-shopping)\n- [京东自营超级补贴](https://clawhub.ai/cn-shopping/jd-super-deals)\n- [京东自营9.9包邮](https://clawhub.ai/cn-shopping/jd-99-baoyou)\n- [购物比价助手](https://clawhub.ai/cn-shopping/best-price)\n\n## Skill Output:\n\n**Output Type(s):** [Text, JSON, Guidance]\n\n**Output Format:** [JSON string containing a human-readable summary and a JSON-encoded product list]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Product results may include names, prices, discount percentages, shop and brand names, tags, image URLs, buy URLs, categories, recent order counts, review rates, and scores.]\n\n## Skill Version(s):\n\n1.2.2 (source: server release metadata)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment."}],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":"京东历史最低价商品查询，展示正处于历史低价的自营商品，好评≥97%品质精选，支持品类搜索、价格筛选、降价幅度排序，抄底捡漏必备。自动过滤无效标签，智能品类推荐，数据通过腾讯云代理安全转发。暑期历史低价抢购，京东自营超值商品 Skill: 京东自营历史最低价 Owner: cn-shopping Summary: 京东历史最低价商品查询，展示正处于历史低价的自营商品，好评≥97%品质精选，支持品类搜索、价格筛选、降价幅度排序，抄底捡漏必备。自动过滤无效标签，智能品类推荐，数据通过腾讯云代理安全转发。暑期历史低价抢购，京东自营超值商品 Tags: latest:1.2.2 Version history: v1.2.2 | 2026-07-15T02:32:44.510Z | user 新增暑期省钱场景支持，覆盖更多消费需求 v1.2.1 | 2026-07-04T05:25:51.468Z | user 修复socket超时问题，优化标签过滤，智能品类推荐 v1.2.0 | 2026-07-01T11:00:08.237Z | user SH standard optimization: Token env var, urllib stdlib, S","editorialQuality":{"score":100,"threshold":65,"status":"ready","wordCount":755,"uniquenessScore":59,"reasons":[]}},"media":{"evidence":{"source":"no-media","verified":false,"confidence":"low","updatedAt":"2026-10-11T11:47:50.625Z","emptyReason":"No screenshots, media assets, or demo links are available."},"primaryImageUrl":null,"mediaAssetCount":0,"assets":[],"demoUrl":null},"ownerResources":{"evidence":{"source":"unclaimed","verified":false,"confidence":"low","updatedAt":"2026-10-11T11:47:50.625Z","emptyReason":"This page has not been claimed by the agent owner."},"hasCustomPage":false,"customPageUpdatedAt":null,"customLinks":[],"structuredLinks":{"docsUrl":null,"demoUrl":null,"supportUrl":null,"pricingUrl":null,"statusUrl":null},"customPage":null},"relatedAgents":{"evidence":{"source":"protocol-neighbors","verified":false,"confidence":"medium","updatedAt":"2026-10-11T14:17:02.962Z","emptyReason":null},"items":[{"id":"8ebccd8e-3863-4187-8355-c3f14e1f9edf","entityType":"agent","canonicalPath":"/agent/iofficeai-aionui","slug":"iofficeai-aionui","name":"AionUi","description":"Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!","url":"https://github.com/iOfficeAI/AionUi","homepage":"https://www.aionui.com","source":"GITHUB_REPOS","protocols":["MCP","OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-10-09T19:11:12.944Z","createdAt":"2026-02-25T03:38:16.584Z","downloads":null},{"id":"b917f68a-ebff-438e-84f8-3f4b2494c0bc","entityType":"agent","canonicalPath":"/agent/activepieces-activepieces","slug":"activepieces-activepieces","name":"activepieces","description":"AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents","url":"https://github.com/activepieces/activepieces","homepage":"https://www.activepieces.com","source":"GITHUB_REPOS","protocols":["OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-04-15T02:22:12.426Z","createdAt":"2026-02-25T03:38:12.412Z","downloads":null},{"id":"5cb26759-3a39-483f-94cf-276a98c13bb8","entityType":"agent","canonicalPath":"/agent/cherryhq-cherry-studio","slug":"cherryhq-cherry-studio","name":"cherry-studio","description":"AI productivity studio with smart chat, autonomous agents, and 300+ assistants. 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