ezviz-open-safety-production-inspection（ezviz 开展安全生产大检查）

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

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

Author: EzvizOpenTeam License: MIT-0