Smart Baby Cry Analysis Skill | 婴儿哭声智能解析技能
Detects baby cries via audio AI in real-time, analyzes causes, and precisely identifies needs like hunger, tiredness, pain, discomfort, or irritability to assist new parents. | 婴儿哭声智能解析技能,通过音频AI实时检测婴儿哭声,自动解析哭声成因,精准识别饥饿、困倦、疼痛、身体不适、情绪烦躁等不同需求,辅助新手爸妈科学育婴 Skill: Smart Baby Cry Analysis Skill | 婴儿哭声智能解析技能 Owner: smyx-sunjinhui Summary: Detects baby cries via audio AI in real-time, analyzes causes, and precisely identifies needs like hunger, tiredness, pain, discomfort, or irritability to assist new parents. | 婴儿哭声智能解析技能,通过音频AI实时检测婴儿哭声,自动解析哭声成因,精准识别饥饿、困倦、疼痛、身体不适、情绪烦躁等不同需求,辅助新手爸妈科学育婴 Tags: latest:1.0.11 Version history: v1.0.11 | 2026-08-28T21:38:44.990Z | auto - Version
Rank
62
Safety
84
Downloads
1.9k
Updated
Oct 9, 2026
Version
1.0.11
Source
CLAWHUB
About
What it does, and when to use it.
Capability contract not published. No trust telemetry is available yet. 1.9K downloads reported by the source. Last updated 10/9/2026.
Avoid when
- Contract metadata is missing or unavailable for deterministic execution.
Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing
Public facts
Every fact links back to the source it came from.
- Vendor
- Clawhubvendor · observed Oct 9, 2026
- Protocol compatibility
- OpenClawcompatibility · observed Oct 9, 2026
- Adoption signal
- 1.9K downloadsadoption · observed Oct 9, 2026
- Latest release
- 1.0.11release · observed Aug 28, 2026
- Handshake status
- UNKNOWNsecurity
Install and run
Setup complexity: low.
clawhub skill install s17cfv2h26b7hq5w47tgfy23xx83z9x6:smyx-infant-cry-analysis- Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
- Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Contract: missing
curl -s "https://www.xpersona.co/api/v1/agents/clawhub-smyx-sunjinhui-smyx-infant-cry-analysis/snapshot"
Documentation
CLAWHUB
123,930 characters of source documentation, loaded on request.
Extracted files
5 files captured from the source.
SKILL.md
--- name: "infant-cry-analysis" description: "Detects baby cries via audio AI in real-time, analyzes causes, and precisely identifies needs like hunger, tiredness, pain, discomfort, or irritability to assist new parents. | 婴儿哭声智能解析技能,通过音频AI实时检测婴儿哭声,自动解析哭声成因,精准识别饥饿、困倦、疼痛、身体不适、情绪烦躁等不同需求,辅助新手爸妈科学育婴" version: "1.0.15" license: "MIT-0" --- # 🍼 Smart Baby Cry Analysis Skill | 婴儿哭声智能解析技能 > **智能分析中枢** · 图片/视频智能分析 · 结构化报告 · 历史报告云端查询 --- ## 🧭 技能概览 | Overview | 模块 | 内容 | |---|---| | 🏷️ 技能名称 | **婴儿哭声智能解析技能** | | 🎯 核心目标 | 婴儿哭声智能解析技能,通过音频AI实时检测婴儿哭声,自动解析哭声成因,精准识别饥饿、困倦、疼痛、身体不适、情绪烦躁等不同需求,辅助新手爸妈科学育婴 | | 🖼️ 输入类型 | 图片、视频、本地文件、网络 URL | | 📝 输出能力 | 结构化分析报告、识别/监测结果、建议与报告链接 | | 🧩 场景码 | `INFANT_CRY_ANALYSIS` | Equipped with an advanced audio AI analysis engine, this feature conducts millisecond-level real-time monitoring and capture of infant crying. Through deep learning algorithms, the system automatically analyzes the acoustic features of the cry, precisely distinguishing between specific needs such as hunger, tiredness, pain, physical discomfort, and emotional distress. This intelligent recognition mechanism helps new parents break through communication barriers and respond quickly to their baby's true demands, achieving an upgrade in parenting methods from "guessing" to "scientific response." 本功能搭载先进的音频AI分析引擎,能够对婴儿的哭声进行毫秒级实时监测与捕捉。系统通过深度学习算法,自动解析哭声的声纹特征,精准区分饥饿、困倦、疼痛、身体不适及情绪烦躁等多种具体需求。这一智能化识别机制能帮助新手父母突破沟通壁垒,快速响应宝宝的真实诉求,实现从“猜测”到“科学应对”的育婴方式升级 ## 🎬 技能演示 | Skill Demo [▶️ 点击查看技能使用介绍](https://lifeemergence.com/sample.html) --- ## 🎯 任务目标 | Goals ### 1. 🧩 技能用途 通过婴儿哭声音频AI分析,自动解析不同哭声成因,帮助家长读懂宝宝需求 ### 2. 🛠️ 能力范围 | 序号 | 具体能力 | |---:|---| | 1 | 哭声检测 | | 2 | 成因分类 | | 3 | 需求识别 | ### 3. ⚡ 触发条件 | 触发类型 | 触发规则 | |---|---| | ✅ 默认触发 | **默认触发**:当用户提供婴儿哭声音频/视频需要解析成因时,默认触发本技能 | | 🔎 明确分析意图 | 当用户明确需要婴儿哭声解析、需求识别时,提及哭声解析、宝宝哭了、婴儿哭声、读懂哭声等关键词,并且上传了音频/视频 | | 📚 历史报告查询 | 当用户提及以下关键词时,**自动触发历史报告查询功能** :查看历史解析报告、哭声解析报告清单、解析报告列表、查询历史解析、显示所有解析报告、哭声分析报告,查询婴儿哭声智能解析分析报告 | ### 4. 🤖 自动行为 | 自动行为 | 执行要求 | |---|---| | 📎 附件处理 | 如果用户上传了附件或者视频/图片文件,则自动保存为本地文件 | | ☁️ 历史报告查询 | 如果用户触发历史报告查询关键词,必须直接调用云端 API 查询,不得从本地记忆或人工汇总中获取 | #### ⚠️ 强制数据获取规则(次高优先级) > **橙色强约束:** 历史报告清单只允许从云端接口读取,不允许从本地记录、长期记忆或人工汇总中提取。 必须执行: ```bash python -m scripts.infant_cry_analysis --list ``` | 类型 | 要求 | |---|---| | ✅ 必须 | 使用 `python -m scripts.infant_cry_analysis --list` 调用 API 查询云端的历史报告数据 | | 🚫 严格禁止 | 从本地 `memory` 目录读取历史会话信息 | | 🚫 严格禁止 | 手动汇总本地记录中的报告 | | 🚫 严格禁止 | 从长期记忆中提取报告 | | ✅ 输出格式 | 必须统一从云端接口获取最新完整数据,然后以 Markdown 表格格式输出结果 | ## 📦 前置准备 | Requirements - 依赖说明:scripts 脚本所需的依赖包及版本 ``` requests>=2.28.0 ``` ## 📸 检测要求 | Detection Requirements | 要求项 | 说明 | |---|---| | 音频清晰 | ,尽量减少背景噪音干扰 | | 包含完整哭声片段 | ,持续时间建议 5-30 秒 | | 如果是视频录制,请确保音频清晰可辨 | 如果是视频录制,请确保音频清晰可辨 | ## 🚀 操作步骤 | Workflow ### 🔐 用户身份处理(内部自动完成) > **绿色安全原则:** 用户身份参数由系统内部自动处理,**不得向用户展示、询问或要求输入任何身份标识**。 执行本技能分析或历史报告查询时,脚本会自动完成身份初始化: | 场景 | 系统行为 | |---|---| | 上游系统有内部身份参数 | 由脚本静默接收并使用 | | 上游系统未提供内部身份参数 | 脚本会自动复用本地缺省用户 | | 本地缺省用户不存在 | 脚本会自动创建并在后续任务
_meta.json
{
"ownerId": "kn7cyxkr2ymf7zwsrybpedg8xx83ywrj",
"slug": "smyx-infant-cry-analysis",
"version": "1.0.11",
"publishedAt": 1787953124990
}references/api_doc.md
# API 接口文档
此处用于存放婴儿哭声智能解析 API 的接口文档,待后续补充。
## 接口规范
- 基础地址:由 smyx_common 配置统一管理
- 认证方式:API Key 鉴权
- 请求格式:支持文件上传
- 响应格式:JSON
## 主要接口
1. `/web/ai-analysis/v2/start-common-ai-analysis` - 启动AI分析任务
2. `/web/ai-analysis/v2/get-common-ai-analysis-result` - 获取分析结果
3. `/web/ai-analysis/page-common-ai-analysis-result` - 分页查询历史报告
4. `/ai/order/api/getReportDetailExport?id={id}` - 导出完整报告
## 场景代码
- `OPEN_INFANT_CRY_ANALYSIS` - 开放平台婴儿哭声智能解析skills/smyx_analysis/references/api_doc.md
# API接口文档 ## 接口规范 - 基础地址:由 smyx_common 配置统一管理 - 认证方式:API Key 鉴权 - 请求格式:支持文件上传 - 响应格式:JSON ## 错误码说明 | 错误码 | 说明 | |-----|----------| | 400 | 请求参数错误 | | 401 | API密钥无效 | | 403 | 权限不足 | | 413 | 文件过大 | | 415 | 不支持的文件格式 | | 500 | 服务器内部错误 |
scripts/config.yaml
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Machine-readable data
The same record, as JSON, for agents and crawlers.
{
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}Record generated Oct 10, 2026.
