← Back to Skills Marketplace
Ai Intelligent Face Recognition
by
yang1002378395-cmyk
· GitHub ↗
· v1.0.0
· MIT-0
146
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install ai-face-recognition
Description
人脸识别，人脸检测 + 比对 + 搜索。
README (SKILL.md)
AI 智能人脸识别系统
描述
人脸识别，人脸检测 + 比对 + 搜索。
功能
- 人脸检测（人脸定位）
- 人脸比对（1:1比对）
- 人脸搜索（1:N搜索）
- 活体检测（防作弊）
- 人脸属性（年龄/性别）
定价
- 基础版：¥199/月（1 万次/月）
- 专业版：¥999/月（10 万次/月）
- 企业版：¥2999/月（无限次）
适用场景
- 门禁考勤
- 身份验证
- 安防监控
- VIP识别
技术栈
- Python + FastAPI
- 人脸识别引擎
- 活体检测
- 特征提取
安装
git clone https://github.com/openclaw-skills/ai-intelligent-face-recognition
cd ai-intelligent-face-recognition
pip install -r requirements.txt
python app.py
创建：2026-03-13 作者：OpenClaw Skills Team
Usage Guidance
This skill is not self-contained: its instructions tell you to clone and run code from a GitHub repo that is not bundled or verified. Before installing or running it, (1) verify the GitHub repository exists and is maintained by a trusted author; (2) inspect the repository source code (especially app.py and requirements) to see what it does with images and network/credentials; (3) do not run arbitrary git clone && python app.py on a production machine—use an isolated VM or container and limit network access; (4) confirm legal/privacy implications for collecting and storing face data and obtain consent where required; (5) ask the skill author for an install spec, checksums, or a packaged release if you need to run this in a trusted environment. If you cannot review the repo and its behavior, treat this skill as risky.
Capability Analysis
Type: OpenClaw Skill
Name: ai-face-recognition
Version: 1.0.0
The skill bundle contains only metadata and documentation (SKILL.md, skill.json, _meta.json) for an AI face recognition system. It lacks executable code and does not contain any malicious instructions, prompt injections, or suspicious data exfiltration patterns. The installation instructions provided are standard for a Python-based project.
Capability Assessment
Purpose & Capability
Name/description, features, and skill.json align with a face-recognition service. However, the skill bundle contains no code or packaged binaries but the SKILL.md instructs cloning https://github.com/openclaw-skills/ai-intelligent-face-recognition and running app.py — the manifest does not declare git, python, or pip as required binaries even though the install steps need them.
Instruction Scope
The SKILL.md tells the operator to download and execute external code (git clone + pip install -r requirements.txt + python app.py). That grants the remote repository arbitrary runtime access when executed. The instructions do not mention data handling, where images are sent/stored, or any privacy/consent controls; they also make implicit assumptions about available tooling and network access.
Install Mechanism
There is no formal install spec in the registry; instead the README-style SKILL.md suggests cloning a GitHub repo. Downloading and running code from an external repo is higher-risk than an instruction-only skill that operates purely with on-agent logic. Although GitHub is a common host, the skill bundle provides no checksum, release link, or verified provenance.
Credentials
The skill declares no required environment variables or credentials, which is proportionate to a local/offline face-recognition demo. However, running the suggested external app may later require service keys, storage credentials, or network connectivity; the SKILL.md does not disclose these possibilities. Also required binaries (git, python, pip) are omitted from the declared requirements.
Persistence & Privilege
The skill does not request always:true and does not declare elevated or persistent privileges. There is no evidence it attempts to modify other skills or global agent settings from the provided files.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install ai-face-recognition - After installation, invoke the skill by name or use
/ai-face-recognition - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of ai-intelligent-face-recognition v1.0.0
- Provides face detection, 1:1 face comparison, 1:N face search, liveness detection, and face attribute analysis (age/gender)
- Outlines multiple pricing tiers for different usage needs
- Describes main use cases: access control, identity verification, security monitoring, and VIP recognition
- Specifies technology stack: Python, FastAPI, and face recognition engine
Metadata
Frequently Asked Questions
What is Ai Intelligent Face Recognition?
人脸识别，人脸检测 + 比对 + 搜索。 It is an AI Agent Skill for Claude Code / OpenClaw, with 146 downloads so far.
How do I install Ai Intelligent Face Recognition?
Run "/install ai-face-recognition" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Ai Intelligent Face Recognition free?
Yes, Ai Intelligent Face Recognition is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Ai Intelligent Face Recognition support?
Ai Intelligent Face Recognition is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Ai Intelligent Face Recognition?
It is built and maintained by yang1002378395-cmyk (@yang1002378395-cmyk); the current version is v1.0.0.
More Skills