Acquaintance Recognition & Analysis Skill | 熟人识别分析技能
Identifies acquaintances in videos or images through face photo comparison. Supports database enrollment, and the recognition results tell you who is at which location. Suitable for identity verification in homes and office areas. | 熟人识别分析技能,通过人脸图片比对识别视频/图片中的熟人,支持底库录入,识别结果告诉你哪个位置是谁,适用于家庭、办公区域身份核验 Skill: Acquaintance Recognition & Analysis Skill | 熟人识别分析技能 Owner: 18072937735 Summary: Identifies acquaintances in videos or images through face photo comparison. Supports database enrollment, and the recognition results tell you who is at which location. Suitable for identity verification in homes and office areas. | 熟人识别分析技能,通过人脸图片比对识别视频/图片中的熟人,支持底库录入,识别结果告诉你哪个位置是谁,适用于家庭、办公区域身份核验 Tags: latest:1.0.17 Version histor
Rank
62
Safety
84
Downloads
2.3k
Updated
Oct 9, 2026
Version
1.0.17
Source
CLAWHUB
About
What it does, and when to use it.
Capability contract not published. No trust telemetry is available yet. 2.3K 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
- 2.3K downloadsadoption · observed Oct 9, 2026
- Latest release
- 1.0.17release · observed Sep 28, 2026
- Handshake status
- UNKNOWNsecurity
Install and run
Setup complexity: low.
clawhub skill install s17f8q65zg3y98t86jdg1177g583whq8:smyx-familiar-person-recognition-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-18072937735-smyx-familiar-person-recognition-analysis/snapshot"
Documentation
CLAWHUB
124,471 characters of source documentation, loaded on request.
Extracted files
5 files captured from the source.
SKILL.md
--- name: "familiar-person-recognition-analysis" description: "Identifies acquaintances in videos or images through face photo comparison. Supports database enrollment, and the recognition results tell you who is at which location. Suitable for identity verification in homes and office areas. | 熟人识别分析技能,通过人脸图片比对识别视频/图片中的熟人,支持底库录入,识别结果告诉你哪个位置是谁,适用于家庭、办公区域身份核验" version: "1.0.19" license: "MIT-0" --- # 👥 Acquaintance Recognition & Analysis Skill | 熟人识别分析技能 > **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 | **熟人识别分析技能** | | 🎯 核心目标 | 熟人识别分析技能,通过人脸图片比对识别视频/图片中的熟人,支持底库录入,识别结果告诉你哪个位置是谁,适用于家庭、办公区域身份核验 | | 🖼️ 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 | `FAMILIAR_PERSON_RECOGNITION` | Leveraging advanced facial recognition algorithms, this feature allows users to pre-enroll faces into a database and subsequently performs deep intelligent analysis on uploaded videos or images. The system precisely captures facial features within the frame and conducts real-time comparisons against the database to achieve rapid identification and verification of known individuals. It clearly annotates the specific location and identity information of each recognized subject in the image. Ideally suited for home security monitoring and personnel management in office areas, this technology provides an efficient and precise intelligent solution for identity verification. 该功能通过先进的人脸识别算法,支持用户预先录入人脸底库,进而对上传的视频或图片进行深度智能分析。系统能够精准捕捉画面中的人脸特征并与底库数据进行实时比对,实现对熟人的快速识别与身份确认,并清晰标注出每位识别对象在画面中的具体位置及其身份信息。这项技术完美适用于家庭安全监控与办公区域的人员管理,为身份核验提供了高效、精准的智能化解决方案 ## 🎬 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 在图片/视频中识别已知熟人,通过人脸比对匹配人脸库中的目标人员 ### 2. 🛠️ 能力范围 | 序号 | 具体能力 | |---:|---| | 1 | 人脸检测 | | 2 | 人脸特征提取 | | 3 | 底库比对 | | 4 | 身份识别 | | 5 | 结果标注 | ### 3. ⚡ 触发条件 | 触发类型 | 触发规则 | |---|---| | ✅ 默认触发 | **默认触发**:当用户需要在监控画面中识别熟人时,默认触发本技能进行熟人识别分析 | | 🔎 明确分析意图 | 当用户明确需要熟人识别、人脸比对时,提及熟人识别、人脸识别、人脸比对、认出是谁等关键词,并且提供了图片/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** :查看历史识别报告、熟人识别报告清单、识别报告列表、查询历史识别报告、显示所有识别报告、熟人识别分析报告,查询熟人识别分析报告 | ### 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.familiar_person_recognition_analysis --list ``` | 类型 | 要求 | |---|---| | ✅ 必须 | 使用 `python -m scripts.familiar_person_recognition_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 ``` ## 📖 使用说明 | Usage Notes - 需要先**录入熟人人脸**到个人人脸底库才能进行识别 - 支持识别:单张图片、短视频中多个面孔分别识别 ## 🚀 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
_meta.json
{
"ownerId": "kn7e2caqj7pnsvr9r7t8zenghs83xw7n",
"slug": "smyx-familiar-person-recognition-analysis",
"version": "1.0.17",
"publishedAt": 1790593227836
}references/api_doc.md
# API 接口文档
此处用于存放熟人识别分析 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_FAMILIAR_PERSON_RECOGNITION_ANALYSIS` - 开放平台熟人识别分析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.
