
safety-compliance-checker
Automated safety compliance verification for construction sites. Check PPE usage, zone access, working at heights regulations, and generate compliance reports using rule-based and ML approaches.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction --skill safety-compliance-checker- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads safety-compliance-checker automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Safety Compliance Checker
Overview
This skill implements automated safety compliance checking for construction projects. Verify regulatory requirements, track safety metrics, and identify potential violations before they become incidents.
Compliance Areas:
- Personal Protective Equipment (PPE)
- Working at heights regulations
- Confined space entry
- Hot work permits
- Excavation safety
- Electrical safety
- Fire prevention
Quick Start
from dataclasses import dataclass
from typing import List, Dict, Optional
from enum import Enum
from datetime import datetime, date
class ComplianceStatus(Enum):
COMPLIANT = "compliant"
NON_COMPLIANT = "non_compliant"
PARTIAL = "partial"
NOT_APPLICABLE = "not_applicable"
PENDING_REVIEW = "pending_review"
@dataclass
class ComplianceCheck:
rule_id: str
rule_name: str
status: ComplianceStatus
findings: List[str]
evidence: Optional[str]
checked_at: datetime
checked_by: str
# Quick compliance check
def check_ppe_compliance(workers: List[Dict]) -> List[ComplianceCheck]:
"""Check PPE compliance for workers"""
checks = []
for worker in workers:
findings = []
required_ppe = worker.get('required_ppe', ['helmet', 'vest', 'boots'])
actual_ppe = worker.get('actual_ppe', [])
missing = set(required_ppe) - set(actual_ppe)
if missing:
findings.append(f"Missing PPE: {', '.join(missing)}")
status = ComplianceStatus.COMPLIANT if not missing else ComplianceStatus.NON_COMPLIANT
checks.append(ComplianceCheck(
rule_id="PPE-001",
rule_name="Personal Protective Equipment",
status=status,
findings=findings,
evidence=f"Worker ID: {worker.get('id')}",
checked_at=datetime.now(),
checked_by="automated_system"
))
return checks
# Example usage
workers = [
{'id': 'W001', 'required_ppe': ['helmet', 'vest', 'boots'], 'actual_ppe': ['helmet', 'vest']},
{'id': 'W002', 'required_ppe': ['helmet', 'vest', 'boots'], 'actual_ppe': ['helmet', 'vest', 'boots']}
]
results = check_ppe_compliance(workers)
for r in results:
print(f"{r.evidence}: {r.status.value} - {r.findings}")
Comprehensive Safety Compliance System
Safety Rules Engine
from dataclasses import dataclass, field
from typing import List, Dict, Callable, Optional, Any
from enum import Enum
from datetime import datetime, date, timedelta
import json
class RiskLevel(Enum):
LOW = 1
MEDIUM = 2
HIGH = 3
CRITICAL = 4
class RuleCategory(Enum):
PPE = "Personal Protective Equipment"
FALL_PROTECTION = "Fall Protection"
ELECTRICAL = "Electrical Safety"
EXCAVATION = "Excavation Safety"
CONFINED_SPACE = "Confined Space"
HOT_WORK = "Hot Work"
FIRE = "Fire Prevention"
HAZMAT = "Hazardous Materials"
CRANE = "Crane & Lifting"
SCAFFOLDING = "Scaffolding"
@dataclass
class SafetyRule:
rule_id: str
name: str
description: str
category: RuleCategory
risk_level: RiskLevel
regulation_ref: str # OSHA, local codes
check_function: Optional[Callable] = None
parameters: Dict = field(default_factory=dict)
@dataclass
class Violation:
rule: SafetyRule
location: str
description: str
detected_at: datetime
severity: RiskLevel
corrective_action: str
deadline: date
status: str = "open"
assigned_to: Optional[str] = None
class SafetyComplianceEngine:
"""Rule-based safety compliance checking engine"""
def __init__(self):
self.rules: Dict[str, SafetyRule] = {}
self.violations: List[Violation] = []
self._load_default_rules()
def _load_default_rules(self):
"""Load default safety rules"""
default_rules = [
SafetyRule(
rule_id="OSHA-1926.100",
name="Head Protection",
description="Employees working in areas where there is a possible danger of head injury shall wear protective helmets",
category=RuleCategory.PPE,
risk_level=RiskLevel.HIGH,
regulation_ref="OSHA 29 CFR 1926.100",
parameters={"required_ppe": ["helmet"]}
),
SafetyRule(
rule_id="OSHA-1926.501",
name="Fall Protection - General",
description="Each employee on walking/working surfaces with unprotected sides 6 feet or more above lower level shall be protected",
category=RuleCategory.FALL_PROTECTION,
risk_level=RiskLevel.CRITICAL,
regulation_ref="OSHA 29 CFR 1926.501",
parameters={"height_threshold_ft": 6}
),
SafetyRule(
rule_id="OSHA-1926.651",
name="Excavation General Requirements",
description="Daily inspections of excavations, adjacent areas, and protective systems",
category=RuleCategory.EXCAVATION,
risk_level=RiskLevel.HIGH,
regulation_ref="OSHA 29 CFR 1926.651",
parameters={"inspection_frequency": "daily"}
),
SafetyRule(
rule_id="OSHA-1926.1200",
name="Confined Space Entry",
description="Permit-required confined space program for construction",
category=RuleCategory.CONFINED_SPACE,
risk_level=RiskLevel.CRITICAL,
regulation_ref="OSHA 29 CFR 1926.1200",
parameters={"permit_required": True}
),
SafetyRule(
rule_id="OSHA-1926.352",
name="Fire Prevention - Welding",
description="Fire watch and extinguisher required for hot work",
category=RuleCategory.HOT_WORK,
risk_level=RiskLevel.HIGH,
regulation_ref="OSHA 29 CFR 1926.352",
parameters={"fire_watch_duration_min": 30}
),
SafetyRule(
rule_id="OSHA-1926.451",
name="Scaffolding General Requirements",
description="Scaffold platforms shall be fully planked between front uprights and guardrail supports",
category=RuleCategory.SCAFFOLDING,
risk_level=RiskLevel.HIGH,
regulation_ref="OSHA 29 CFR 1926.451",
parameters={"max_height_without_tie": 26}
),
SafetyRule(
rule_id="OSHA-1926.405",
name="Electrical Wiring Methods",
description="All electrical equipment and circuits shall be grounded",
category=RuleCategory.ELECTRICAL,
risk_level=RiskLevel.CRITICAL,
regulation_ref="OSHA 29 CFR 1926.405",
parameters={"gfci_required": True}
)
]
for rule in default_rules:
self.rules[rule.rule_id] = rule
def add_rule(self, rule: SafetyRule):
"""Add custom safety rule"""
self.rules[rule.rule_id] = rule
def check_work_activity(self, activity: Dict) -> List[ComplianceCheck]:
"""Check compliance for a work activity"""
checks = []
activity_type = activity.get('type', '')
location = activity.get('location', '')
height = activity.get('height_ft', 0)
workers = activity.get('workers', [])
permits = activity.get('permits', [])
equipment = activity.get('equipment', [])
# Fall protection check
if height >= 6:
fall_rule = self.rules.get("OSHA-1926.501")
if fall_rule:
has_protection = any(
'harness' in w.get('ppe', []) or 'guardrail' in equipment
for w in workers
)
checks.append(ComplianceCheck(
rule_id=fall_rule.rule_id,
rule_name=fall_rule.name,
status=ComplianceStatus.COMPLIANT if has_protection else ComplianceStatus.NON_COMPLIANT,
findings=[] if has_protection else [f"Working at {height}ft without fall protection"],
evidence=f"Activity: {activity_type} at {location}",
checked_at=datetime.now(),
checked_by="automated_system"
))
# PPE check for all workers
for worker in workers:
ppe_rule = self.rules.get("OSHA-1926.100")
if ppe_rule:
has_helmet = 'helmet' in worker.get('ppe', [])
checks.append(ComplianceCheck(
rule_id=ppe_rule.rule_id,
rule_name=ppe_rule.name,
status=ComplianceStatus.COMPLIANT if has_helmet else ComplianceStatus.NON_COMPLIANT,
findings=[] if has_helmet else ["Missing hard hat"],
evidence=f"Worker: {worker.get('id')}",
checked_at=datetime.now(),
checked_by="automated_system"
))
# Hot work permit check
if activity_type in ['welding', 'cutting', 'brazing']:
hot_work_rule = self.rules.get("OSHA-1926.352")
if hot_work_rule:
has_permit = 'hot_work' in permits
has_fire_watch = activity.get('fire_watch', False)
has_extinguisher = 'fire_extinguisher' in equipment
findings = []
if not has_permit:
findings.append("Missing hot work permit")
if not has_fire_watch:
findings.append("No fire watch assigned")
if not has_extinguisher:
findings.append("No fire extinguisher on site")
checks.append(ComplianceCheck(
rule_id=hot_work_rule.rule_id,
rule_name=hot_work_rule.name,
status=ComplianceStatus.COMPLIANT if not findings else ComplianceStatus.NON_COMPLIANT,
findings=findings,
evidence=f"Activity: {activity_type} at {location}",
checked_at=datetime.now(),
checked_by="automated_system"
))
# Confined space check
if activity.get('confined_space', False):
cs_rule = self.rules.get("OSHA-1926.1200")
if cs_rule:
has_permit = 'confined_space' in permits
has_attendant = activity.get('attendant', False)
atmospheric_tested = activity.get('atmospheric_test', False)
findings = []
if not has_permit:
findings.append("Missing confined space entry permit")
if not has_attendant:
findings.append("No attendant stationed at entry")
if not atmospheric_tested:
findings.append("Atmospheric testing not performed")
checks.append(ComplianceCheck(
rule_id=cs_rule.rule_id,
rule_name=cs_rule.name,
status=ComplianceStatus.COMPLIANT if not findings else ComplianceStatus.NON_COMPLIANT,
findings=findings,
evidence=f"Confined space: {location}",
checked_at=datetime.now(),
checked_by="automated_system"
))
return checks
def create_violation(self, check: ComplianceCheck, location: str) -> Violation:
"""Create violation record from failed check"""
rule = self.rules.get(check.rule_id)
# Determine deadline based on severity
if rule.risk_level == RiskLevel.CRITICAL:
deadline = date.today() # Immediate
elif rule.risk_level == RiskLevel.HIGH:
deadline = date.today() + timedelta(days=1)
elif rule.risk_level == RiskLevel.MEDIUM:
deadline = date.today() + timedelta(days=3)
else:
deadline = date.today() + timedelta(days=7)
violation = Violation(
rule=rule,
location=location,
description="; ".join(check.findings),
detected_at=check.checked_at,
severity=rule.risk_level,
corrective_action=self._get_corrective_action(rule, check.findings),
deadline=deadline
)
self.violations.append(violation)
return violation
def _get_corrective_action(self, rule: SafetyRule, findings: List[str]) -> str:
"""Generate corrective action based on rule and findings"""
actions = {
RuleCategory.PPE: "Provide required PPE to workers and ensure proper usage",
RuleCategory.FALL_PROTECTION: "Install guardrails, safety nets, or provide personal fall arrest systems",
RuleCategory.ELECTRICAL: "De-energize equipment, install GFCI protection, verify grounding",
RuleCategory.EXCAVATION: "Perform required inspections, install shoring/sloping as needed",
RuleCategory.CONFINED_SPACE: "Stop work, evacuate space, obtain required permits",
RuleCategory.HOT_WORK: "Obtain hot work permit, assign fire watch, provide extinguishers",
RuleCategory.SCAFFOLDING: "Inspect scaffold, install missing components, tag out if unsafe",
RuleCategory.CRANE: "Verify operator certification, check rigging, establish swing radius"
}
return actions.get(rule.category, "Review and correct violation immediately")
PPE Detection Integration
class PPEComplianceChecker:
"""PPE compliance checking with CV integration support"""
def __init__(self):
self.ppe_requirements = self._load_requirements()
def _load_requirements(self) -> Dict[str, List[str]]:
"""Load PPE requirements by work type"""
return {
'general': ['helmet', 'safety_vest', 'safety_boots'],
'welding': ['helmet', 'welding_mask', 'gloves', 'apron', 'safety_boots'],
'excavation': ['helmet', 'safety_vest', 'safety_boots', 'gloves'],
'electrical': ['helmet', 'safety_glasses', 'insulated_gloves', 'safety_boots'],
'concrete': ['helmet', 'safety_glasses', 'gloves', 'safety_boots', 'knee_pads'],
'demolition': ['helmet', 'safety_glasses', 'dust_mask', 'gloves', 'safety_boots'],
'roofing': ['helmet', 'harness', 'safety_boots', 'gloves'],
'painting': ['helmet', 'respirator', 'safety_glasses', 'gloves', 'coveralls'],
'scaffolding': ['helmet', 'harness', 'safety_boots', 'gloves']
}
def check_worker_ppe(self, worker_id: str, work_type: str,
detected_ppe: List[str]) -> Dict:
"""Check worker PPE against requirements"""
required = self.ppe_requirements.get(work_type, self.ppe_requirements['general'])
missing = set(required) - set(detected_ppe)
extra = set(detected_ppe) - set(required)
compliance_score = (len(required) - len(missing)) / len(required) * 100
return {
'worker_id': worker_id,
'work_type': work_type,
'required_ppe': required,
'detected_ppe': detected_ppe,
'missing_ppe': list(missing),
'compliance_score': compliance_score,
'is_compliant': len(missing) == 0,
'recommendations': [f"Provide {item}" for item in missing]
}
def process_cv_detections(self, detections: List[Dict]) -> List[Dict]:
"""Process detections from computer vision system"""
results = []
for detection in detections:
worker_id = detection.get('worker_id', 'unknown')
work_type = detection.get('work_type', 'general')
detected_items = detection.get('ppe_items', [])
result = self.check_worker_ppe(worker_id, work_type, detected_items)
result['timestamp'] = detection.get('timestamp')
result['location'] = detection.get('location')
result['image_ref'] = detection.get('image_path')
results.append(result)
return results
Site Inspection System
from datetime import datetime, date
from typing import List, Dict, Optional
import pandas as pd
@dataclass
class InspectionItem:
item_id: str
category: str
description: str
is_compliant: bool
notes: str
photo_refs: List[str] = field(default_factory=list)
corrective_action: Optional[str] = None
@dataclass
class SiteInspection:
inspection_id: str
site_id: str
inspector: str
inspection_date: date
weather: str
items: List[InspectionItem]
overall_score: float
recommendations: List[str]
class SiteInspectionSystem:
"""Construction site safety inspection management"""
def __init__(self):
self.checklists = self._load_checklists()
self.inspections: List[SiteInspection] = []
def _load_checklists(self) -> Dict[str, List[Dict]]:
"""Load inspection checklists by category"""
return {
'general_safety': [
{'id': 'GS-001', 'item': 'Site access controlled and secured', 'category': 'Access'},
{'id': 'GS-002', 'item': 'Safety signage posted at entrance', 'category': 'Signage'},
{'id': 'GS-003', 'item': 'First aid station accessible and stocked', 'category': 'Emergency'},
{'id': 'GS-004', 'item': 'Emergency contact numbers posted', 'category': 'Emergency'},
{'id': 'GS-005', 'item': 'Fire extinguishers accessible and inspected', 'category': 'Fire'},
{'id': 'GS-006', 'item': 'Evacuation routes clear and marked', 'category': 'Emergency'},
{'id': 'GS-007', 'item': 'Housekeeping adequate (no tripping hazards)', 'category': 'Housekeeping'},
{'id': 'GS-008', 'item': 'Material storage organized and stable', 'category': 'Storage'},
{'id': 'GS-009', 'item': 'Adequate lighting in work areas', 'category': 'Environment'},
{'id': 'GS-010', 'item': 'Toilets and washing facilities clean', 'category': 'Welfare'}
],
'fall_protection': [
{'id': 'FP-001', 'item': 'Guardrails installed where required', 'category': 'Guardrails'},
{'id': 'FP-002', 'item': 'Floor openings covered or protected', 'category': 'Openings'},
{'id': 'FP-003', 'item': 'Ladders in good condition and secured', 'category': 'Ladders'},
{'id': 'FP-004', 'item': 'Harnesses inspected and in good condition', 'category': 'PPE'},
{'id': 'FP-005', 'item': 'Anchor points adequate and tested', 'category': 'Anchors'},
{'id': 'FP-006', 'item': 'Safety nets installed where required', 'category': 'Nets'},
{'id': 'FP-007', 'item': 'Stairways have handrails', 'category': 'Stairs'},
{'id': 'FP-008', 'item': 'Roof edge protection in place', 'category': 'Roof'}
],
'scaffolding': [
{'id': 'SC-001', 'item': 'Scaffold erected by competent person', 'category': 'Erection'},
{'id': 'SC-002', 'item': 'Base plates and mudsills in place', 'category': 'Foundation'},
{'id': 'SC-003', 'item': 'All platforms fully planked', 'category': 'Platforms'},
{'id': 'SC-004', 'item': 'Guardrails on all open sides', 'category': 'Protection'},
{'id': 'SC-005', 'item': 'Access ladders provided', 'category': 'Access'},
{'id': 'SC-006', 'item': 'Tied to structure at required intervals', 'category': 'Stability'},
{'id': 'SC-007', 'item': 'Inspection tag current', 'category': 'Documentation'},
{'id': 'SC-008', 'item': 'No damage to components', 'category': 'Condition'}
],
'electrical': [
{'id': 'EL-001', 'item': 'GFCI protection on all outlets', 'category': 'Protection'},
{'id': 'EL-002', 'item': 'Extension cords in good condition', 'category': 'Equipment'},
{'id': 'EL-003', 'item': 'Panel boxes closed and labeled', 'category': 'Panels'},
{'id': 'EL-004', 'item': 'No exposed live wires', 'category': 'Hazards'},
{'id': 'EL-005', 'item': 'Lockout/tagout procedures followed', 'category': 'LOTO'},
{'id': 'EL-006', 'item': 'Temporary wiring properly supported', 'category': 'Installation'}
],
'excavation': [
{'id': 'EX-001', 'item': 'Competent person inspection completed', 'category': 'Inspection'},
{'id': 'EX-002', 'item': 'Utilities located and marked', 'category': 'Utilities'},
{'id': 'EX-003', 'item': 'Protective systems in place (shoring/sloping)', 'category': 'Protection'},
{'id': 'EX-004', 'item': 'Spoil pile minimum 2ft from edge', 'category': 'Materials'},
{'id': 'EX-005', 'item': 'Safe access/egress within 25ft', 'category': 'Access'},
{'id': 'EX-006', 'item': 'Water accumulation managed', 'category': 'Water'},
{'id': 'EX-007', 'item': 'Barricades around excavation', 'category': 'Barriers'}
]
}
def conduct_inspection(self, site_id: str, inspector: str,
checklist_types: List[str],
responses: Dict[str, Dict]) -> SiteInspection:
"""Conduct site inspection"""
items = []
for checklist_type in checklist_types:
checklist = self.checklists.get(checklist_type, [])
for check in checklist:
item_id = check['id']
response = responses.get(item_id, {})
items.append(InspectionItem(
item_id=item_id,
category=check['category'],
description=check['item'],
is_compliant=response.get('compliant', False),
notes=response.get('notes', ''),
photo_refs=response.get('photos', []),
corrective_action=response.get('action') if not response.get('compliant', False) else None
))
# Calculate score
compliant_count = sum(1 for item in items if item.is_compliant)
overall_score = (compliant_count / len(items) * 100) if items else 0
# Generate recommendations
recommendations = []
for item in items:
if not item.is_compliant:
recommendations.append(f"{item.item_id}: {item.corrective_action or 'Address non-compliance'}")
inspection = SiteInspection(
inspection_id=f"INS-{site_id}-{datetime.now().strftime('%Y%m%d%H%M')}",
site_id=site_id,
inspector=inspector,
inspection_date=date.today(),
weather="Clear", # Would be input
items=items,
overall_score=overall_score,
recommendations=recommendations[:10] # Top 10
)
self.inspections.append(inspection)
return inspection
def generate_inspection_report(self, inspection: SiteInspection) -> pd.DataFrame:
"""Generate inspection report DataFrame"""
data = []
for item in inspection.items:
data.append({
'Inspection ID': inspection.inspection_id,
'Date': inspection.inspection_date,
'Inspector': inspection.inspector,
'Item ID': item.item_id,
'Category': item.category,
'Description': item.description,
'Compliant': 'Yes' if item.is_compliant else 'No',
'Notes': item.notes,
'Corrective Action': item.corrective_action or ''
})
return pd.DataFrame(data)
def get_compliance_trends(self, site_id: str, days: int = 30) -> Dict:
"""Get compliance trends for a site"""
site_inspections = [
i for i in self.inspections
if i.site_id == site_id and
(date.today() - i.inspection_date).days <= days
]
if not site_inspections:
return {'message': 'No inspections found'}
scores = [i.overall_score for i in site_inspections]
dates = [i.inspection_date for i in site_inspections]
# Category breakdown
category_compliance = {}
for inspection in site_inspections:
for item in inspection.items:
if item.category not in category_compliance:
category_compliance[item.category] = {'compliant': 0, 'total': 0}
category_compliance[item.category]['total'] += 1
if item.is_compliant:
category_compliance[item.category]['compliant'] += 1
return {
'site_id': site_id,
'inspection_count': len(site_inspections),
'average_score': sum(scores) / len(scores),
'score_trend': list(zip(dates, scores)),
'category_compliance': {
k: v['compliant'] / v['total'] * 100
for k, v in category_compliance.items()
},
'latest_inspection': site_inspections[-1].inspection_id
}
Compliance Dashboard Data
class SafetyDashboard:
"""Generate safety compliance dashboard data"""
def __init__(self, engine: SafetyComplianceEngine,
inspection_system: SiteInspectionSystem):
self.engine = engine
self.inspections = inspection_system
def get_dashboard_data(self, site_id: str) -> Dict:
"""Get comprehensive dashboard data"""
# Active violations
open_violations = [v for v in self.engine.violations if v.status == 'open']
# Violations by severity
by_severity = {}
for v in open_violations:
sev = v.severity.name
by_severity[sev] = by_severity.get(sev, 0) + 1
# Violations by category
by_category = {}
for v in open_violations:
cat = v.rule.category.value
by_category[cat] = by_category.get(cat, 0) + 1
# Overdue violations
overdue = [v for v in open_violations if v.deadline < date.today()]
# Compliance trends
trends = self.inspections.get_compliance_trends(site_id)
return {
'summary': {
'total_open_violations': len(open_violations),
'critical_violations': by_severity.get('CRITICAL', 0),
'overdue_violations': len(overdue),
'latest_inspection_score': trends.get('average_score', 0)
},
'violations_by_severity': by_severity,
'violations_by_category': by_category,
'overdue_items': [
{
'rule': v.rule.name,
'location': v.location,
'deadline': v.deadline.isoformat(),
'days_overdue': (date.today() - v.deadline).days
}
for v in overdue
],
'compliance_trend': trends.get('score_trend', []),
'category_compliance': trends.get('category_compliance', {})
}
Quick Reference
| Check Type | OSHA Reference | Risk Level | Frequency |
|---|---|---|---|
| PPE Compliance | 1926.100-106 | High | Continuous |
| Fall Protection | 1926.501-503 | Critical | Daily |
| Scaffolding | 1926.451-454 | High | Before each use |
| Excavation | 1926.651-652 | High | Daily |
| Electrical | 1926.400-449 | Critical | Daily |
| Confined Space | 1926.1200 | Critical | Before entry |
| Hot Work | 1926.350-354 | High | Per activity |
Resources
- OSHA Construction Standards: https://www.osha.gov/laws-regs/regulations/standardnumber/1926
- DDC Website: https://datadrivenconstruction.io
Next Steps
- See
progress-monitoring-cvfor PPE detection with computer vision - See
risk-assessment-mlfor predictive safety analytics - See
document-classification-nlpfor safety document processing
FAQ
What does the safety-compliance-checker skill do?
Automated safety compliance verification for construction sites. Check PPE usage, zone access, working at heights regulations, and generate compliance reports using rule-based and ML approaches.
How do I install safety-compliance-checker?
Run npx skills add https://github.com/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction --skill safety-compliance-checker in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/safety-compliance-checker/ (personal) or .claude/skills/safety-compliance-checker/ (project).
Which AI agents can use safety-compliance-checker?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is safety-compliance-checker safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains safety-compliance-checker?
It is published by datadrivenconstruction in datadrivenconstruction/ddc_skills_for_ai_agents_in_construction. It has 120 recorded installs.
More from datadrivenconstruction/ddc_skills_for_ai_agents_in_construction
warranty-tracker
datadrivenconstruction/ddc_skills_for_ai_agents_in_construction
Track and manage construction warranties. Monitor expiration dates, claims, and manufacturer documentation.
cad-to-data
datadrivenconstruction/ddc_skills_for_ai_agents_in_construction
Convert CAD/BIM files to structured data. Extract element data from Revit, IFC, DWG, DGN files.
dwg-to-excel
datadrivenconstruction/ddc_skills_for_ai_agents_in_construction
Convert AutoCAD DWG files (1983-2026) to Excel databases using DwgExporter CLI. Extract layers, blocks, attributes, and geometry data without Autodesk licenses.
drawing-analyzer
datadrivenconstruction/ddc_skills_for_ai_agents_in_construction
Open the skill to read its SKILL.md instructions.
permit-tracking-automation
datadrivenconstruction/ddc_skills_for_ai_agents_in_construction
Automate construction permit tracking and management. Monitor application status, track renewal deadlines, manage document requirements, and integrate with municipal systems.
cost-estimation-resource
datadrivenconstruction/ddc_skills_for_ai_agents_in_construction
Calculate construction costs using resource-based method. Estimate project costs from work items, physical resource norms, and current prices.
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