equipment-fleet-manager — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited equipment-fleet-manager (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
import pandas as pd
from datetime import date, timedelta
from typing import Dict, Any, List, Optional
from dataclasses import dataclass, field
from enum import Enum
class EquipmentStatus(Enum):
AVAILABLE = "available"
IN_USE = "in_use"
MAINTENANCE = "maintenance"
REPAIR = "repair"
RETIRED = "retired"
class EquipmentType(Enum):
CRANE = "crane"
EXCAVATOR = "excavator"
LOADER = "loader"
FORKLIFT = "forklift"
GENERATOR = "generator"
COMPRESSOR = "compressor"
SCAFFOLDING = "scaffolding"
OTHER = "other"
@dataclass
class MaintenanceRecord:
record_id: str
equipment_id: str
maintenance_type: str
scheduled_date: date
completed_date: Optional[date]
cost: float
notes: str = ""
@dataclass
class Assignment:
assignment_id: str
equipment_id: str
project: str
location: str
start_date: date
end_date: Optional[date]
operator: str = ""
@dataclass
class Equipment:
equipment_id: str
name: str
equipment_type: EquipmentType
make: str
model: str
year: int
status: EquipmentStatus
hourly_rate: float
daily_rate: float
current_hours: float = 0
last_maintenance: Optional[date] = None
next_maintenance_hours: float = 500
assignments: List[Assignment] = field(default_factory=list)
class EquipmentFleetManager:
def __init__(self, company_name: str):
self.company_name = company_name
self.equipment: Dict[str, Equipment] = {}
self.maintenance_records: List[MaintenanceRecord] = {}
self._equip_counter = 0
self._assign_counter = 0
def add_equipment(self, name: str, equipment_type: EquipmentType,
make: str, model: str, year: int,
hourly_rate: float, daily_rate: float) -> Equipment:
self._equip_counter += 1
equip_id = f"EQ-{self._equip_counter:04d}"
equip = Equipment(
equipment_id=equip_id,
name=name,
equipment_type=equipment_type,
make=make,
model=model,
year=year,
status=EquipmentStatus.AVAILABLE,
hourly_rate=hourly_rate,
daily_rate=daily_rate
)
self.equipment[equip_id] = equip
return equip
def assign_equipment(self, equip_id: str, project: str, location: str,
start_date: date, operator: str = "") -> Assignment:
if equip_id not in self.equipment:
return None
self._assign_counter += 1
assign_id = f"ASN-{self._assign_counter:04d}"
assignment = Assignment(
assignment_id=assign_id,
equipment_id=equip_id,
project=project,
location=location,
start_date=start_date,
end_date=None,
operator=operator
)
self.equipment[equip_id].assignments.append(assignment)
self.equipment[equip_id].status = EquipmentStatus.IN_USE
return assignment
def return_equipment(self, equip_id: str, hours_used: float):
if equip_id in self.equipment:
equip = self.equipment[equip_id]
equip.status = EquipmentStatus.AVAILABLE
equip.current_hours += hours_used
if equip.assignments:
equip.assignments[-1].end_date = date.today()
def schedule_maintenance(self, equip_id: str, maintenance_type: str,
scheduled_date: date, cost: float):
if equip_id not in self.equipment:
return
record_id = f"MNT-{len(self.maintenance_records) + 1:04d}"
record = MaintenanceRecord(record_id, equip_id, maintenance_type,
scheduled_date, None, cost)
self.maintenance_records[record_id] = record
def get_available_equipment(self, equipment_type: EquipmentType = None) -> List[Equipment]:
available = [e for e in self.equipment.values()
if e.status == EquipmentStatus.AVAILABLE]
if equipment_type:
available = [e for e in available if e.equipment_type == equipment_type]
return available
def get_utilization_report(self) -> Dict[str, Any]:
in_use = sum(1 for e in self.equipment.values()
if e.status == EquipmentStatus.IN_USE)
total = len(self.equipment)
return {
'total_equipment': total,
'in_use': in_use,
'available': sum(1 for e in self.equipment.values()
if e.status == EquipmentStatus.AVAILABLE),
'maintenance': sum(1 for e in self.equipment.values()
if e.status == EquipmentStatus.MAINTENANCE),
'utilization_rate': round(in_use / total * 100, 1) if total > 0 else 0
}
def export_fleet(self, output_path: str):
data = [{
'ID': e.equipment_id,
'Name': e.name,
'Type': e.equipment_type.value,
'Make/Model': f"{e.make} {e.model}",
'Year': e.year,
'Status': e.status.value,
'Hours': e.current_hours,
'Daily Rate': e.daily_rate
} for e in self.equipment.values()]
pd.DataFrame(data).to_excel(output_path, index=False)fleet = EquipmentFleetManager("ABC Construction")
crane = fleet.add_equipment("Tower Crane #1", EquipmentType.CRANE,
"Liebherr", "280 EC-H", 2020, 150, 1200)
assignment = fleet.assign_equipment(crane.equipment_id, "Office Tower",
"Site A", date.today(), "John Smith")
report = fleet.get_utilization_report()
print(f"Utilization: {report['utilization_rate']}%")~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.