Ai Intelligent Face Recognition
人脸识别,人脸检测 + 比对 + 搜索。
MIT-0 · Free to use, modify, and redistribute. No attribution required.
⭐ 0 · 30 · 0 current installs · 0 all-time installs
MIT-0
Security Scan
OpenClaw
Suspicious
medium confidencePurpose & 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.
What to consider before installing
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.Like a lobster shell, security has layers — review code before you run it.
Current versionv1.0.0
Download zipchineselatestsecurity
License
MIT-0
Free to use, modify, and redistribute. No attribution required.
Runtime requirements
🤖 Clawdis
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
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