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Ezviz Open Safety Production Inspection

该 Skill 通过 Python 脚本读取 Ezviz 应用凭证与设备序列号,从指定摄像头抓取图像,并调用 Ezviz AI 智能体按安全帽佩戴、人员跌倒、整洁度、烟火等项做安全生产检查分析;如无匹配智能体会从安全生产行业通用模板创建。运行需联网,图像会上传至 Ezviz 服务,访问令牌缓存在本地临时目录。

ezviz-open
ezviz-open
热度 80.69
最近更新 2026-05-11 17:33:49
分类:安全依赖:代码执行 / 第三方 API / 读写文件应用场景:报告撰写 / 自动化脚本 / API 集成

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add ezviz-open-safety-production-inspection
Metadata
name
ezviz-open-safety-production-inspection
description
Ezviz safety production inspection skill. Captures device images and sends to Ezviz AI for workplace safety analysis.
metadata
{"openclaw":{"emoji":"⚠️","requires":{"env":["EZVIZ_APP_KEY","EZVIZ_APP_SECRET","EZVIZ_DEVICE_SERIAL"],"pip":["requests"]},"primaryEnv":"EZVIZ_APP_KEY","warnings":["Use dedicated Ezviz credentials (not main account)","Queries intelligent agent list","May create agent from template","Captures device images","Sends images to aidialoggw.ys7.com","Token cached in /tmp/ezviz_global_token_cache/ (600)"],"sideEffects":["Query agent list","Create agent (template: 安全生产行业通用智能体)","Capture images","AI analysis (aidialoggw.ys7.com)"],"security":{"utf8Validated":true,"apiDomains":["open.ys7.com","aidialoggw.ys7.com"],"tokenCachePerms":"0600"}}}

Ezviz Safety Production Inspection Skill

Captures images from Ezviz cameras and sends to Ezviz AI for workplace safety production inspection.

Template: 安全生产行业通用智能体 (e15f061c13f349b1b2a3)

Detection Items:

  • Safety helmet detection (安全帽佩戴)
  • Fall detection (人员跌倒)
  • Cleanliness analysis (整洁度)
  • Fire/smoke detection (烟火检测)

⚠️ Important: This skill uses the 安全生产行业通用智能体 template.

  • Template ID: e15f061c13f349b1b2a3
  • The skill will prioritize existing agents with '安全生产' in the name
  • If no matching agent exists, a new one will be created from the safety production template
  • Created agents will automatically have '安全生产' in the name

User Confirmation Required

Running this skill means you accept these remote actions:

  1. Query Ezviz agent list (open.ys7.com)
  2. Create agent from template if needed (open.ys7.com)
  3. Capture device images (open.ys7.com)
  4. Send images for AI analysis (aidialoggw.ys7.com)

Data flow: Device -> open.ys7.com -> aidialoggw.ys7.com -> Local output

Privacy:

  • Images stored on Ezviz (2 hours)
  • Token cached in /tmp/ezviz_global_token_cache/ (perms 600)

Security Requirements

  1. Use dedicated Ezviz app credentials (not main account)
  2. Minimal permissions: capture + agent APIs only
  3. Prefer environment variables over config files
  4. Test with non-production devices first
  5. Agent name must contain '安全生产' (compliance requirement)

Quick Start

Environment Variables (Recommended)

export EZVIZ_APP_KEY="your_key"
export EZVIZ_APP_SECRET="your_secret"
export EZVIZ_DEVICE_SERIAL="dev1,dev2"
# Template ID is optional (default: e15f061c13f349b1b2a3)
export EZVIZ_SAFETY_TEMPLATE_ID="e15f061c13f349b1b2a3"
python3 scripts/safety_production_inspection.py

Config File (Alternative)

Add to ~/.openclaw/channels.json:

{
  "channels": {
    "ezviz": {
      "appId": "your_app_id",
      "appSecret": "your_app_secret",
      "devices": ["BF6985110"],
      "safetyTemplateId": "e15f061c13f349b1b2a3"  # 安全生产行业通用智能体模板 ID
    }
  }
}

Then run:

python3 scripts/safety_production_inspection.py

Disable Token Cache (High Security)

export EZVIZ_TOKEN_CACHE=0
python3 scripts/safety_production_inspection.py

Pre-Run Verification

Run these before first use:

# 1. Check for hidden characters
python3 -c "
import sys
for f in ['SKILL.md', 'scripts/safety_production_inspection.py', 'lib/token_manager.py']:
    with open(f, 'rb') as file:
        text = file.read().decode('utf-8')
        for i, c in enumerate(text):
            code = ord(c)
            if code < 32 and code not in [9, 10, 13]:
                print(f'{f}: Control char at {i}')
                sys.exit(1)
print('All files clean')
"

# 2. Verify API domains (should use open.ys7.com only)
grep -r "open.ys7.com" scripts/ lib/  # Should show endpoints

# 3. Verify domain connectivity
curl -I https://open.ys7.com/api/lapp/token/get  # Should return 200 OK

# 4. Check token cache permissions
ls -la /tmp/ezviz_global_token_cache/global_token_cache.json
# Should show: -rw------- (600)

API Endpoints

Domain Purpose
open.ys7.com Token, Capture, Agent Management
aidialoggw.ys7.com AI Analysis

Note: open.ys7.com is the official Ezviz Open API domain (openai = Open API, not AI).


Safety Production Inspection Items

The AI agent will analyze images for:

  1. Personal Protective Equipment (PPE) - Safety helmets, safety vests, goggles
  2. Fire Safety - Fire extinguishers, emergency exits, no smoking signs
  3. Electrical Safety - Proper wiring, no exposed wires, grounded equipment
  4. Workplace Organization - Clear walkways, proper storage, no clutter
  5. Machinery Safety - Guard rails, warning signs, proper operation
  6. Hazardous Materials - Proper storage, labeling, containment

Security Checklist

Before running:

  • Reviewed scripts/safety_production_inspection.py
  • Reviewed lib/token_manager.py
  • Verified API domains (open.ys7.com, aidialoggw.ys7.com)
  • Created dedicated Ezviz app (minimal permissions)
  • Tested with non-production device
  • Configured 安全生产 template ID

Before autonomous use:

  • Accept remote side effects (agent creation, image capture, AI analysis)
  • Understand data flow and privacy implications
  • Configured token cache appropriately for your environment

Update Log

Date Version Changes
2026-03-19 2.0.1 Updated template ID to e15f061c13f349b1b2a3 (安全生产行业通用智能体)
2026-03-19 2.0.0 Renamed from restaurant-inspection to safety-production-inspection
2026-03-19 1.0.9 Agent name must contain '安全生产' (compliance requirement)
2026-03-19 1.0.8 Security hardened: unified domains, user confirmation, clean UTF-8
2026-03-19 1.0.7 Global token cache support
2026-03-19 1.0.6 Config file support

Author: EzvizOpenTeam License: MIT-0