Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill subcontractor-payment-trackergit clone --depth 1 https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_ConstructionWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/subcontractor-payment-tracker)<a href="https://agentmods.dev/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/subcontractor-payment-tracker"><img src="https://agentmods.dev/badge/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/subcontractor-payment-tracker/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/subcontractor-payment-tracker"><img src="https://agentmods.dev/badge/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/subcontractor-payment-tracker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00025 | $0.02246 |
| Opus 5 | $0.00013 | $0.01123 |
| Sonnet 5 | $0.00005 | $0.00449 |
| Haiku 4.5 | $0.00003 | $0.00225 |
Grade A, and why
subcontractor-payment-tracker scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- subcontractor-payment-tracker — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 296 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Subcontractor Payment Tracker
Business Case
Problem Statement
Subcontractor payments require careful management:
- Complex payment schedules
- Lien waiver tracking
- Compliance documentation
- Cash flow coordination
Solution
Comprehensive subcontractor payment tracking with lien waiver management, compliance monitoring, and payment scheduling.
Technical Implementation
import pandas as pd
from datetime import datetime, date, timedelta
from typing import Dict, Any, List, Optional
from dataclasses import dataclass, field
from enum import Enum
class PaymentStatus(Enum):
SCHEDULED = "scheduled"
INVOICED = "invoiced"
APPROVED = "approved"
PAID = "paid"
HELD = "held"
DISPUTED = "disputed"
class WaiverType(Enum):
CONDITIONAL_PROGRESS = "conditional_progress"
UNCONDITIONAL_PROGRESS = "unconditional_progress"
CONDITIONAL_FINAL = "conditional_final"
UNCONDITIONAL_FINAL = "unconditional_final"
@dataclass
class LienWaiver:
waiver_id: str
waiver_type: WaiverType
through_date: date
amount: float
received_date: Optional[date]
file_path: str = ""
@dataclass
class SubcontractorPayment:
payment_id: str
subcontractor_id: str
invoice_number: str
invoice_date: date
amount: float
retention_held: float
status: PaymentStatus
scheduled_date: date
paid_date: Optional[date] = None
check_number: str = ""
lien_waiver: Optional[LienWaiver] = None
notes: str = ""
@dataclass
class Subcontractor:
sub_id: str
company_name: str
contact_name: str
email: str
phone: str
contract_amount: float
retention_percent: float
trade: str
payments: List[SubcontractorPayment] = field(default_factory=list)
insurance_expiry: Optional[date] = None
license_number: str = ""
@property
def total_paid(self) -> float:
return sum(p.amount for p in self.payments if p.status == PaymentStatus.PAID)
@property
def total_retention(self) -> float:
return sum(p.retention_held for p in self.payments)
@property
def balance_remaining(self) -> float:
return self.contract_amount - self.total_paid - self.total_retention
class SubcontractorPaymentTracker:
"""Track subcontractor payments and compliance."""
def __init__(self, project_name: str):
self.project_name = project_name
self.subcontractors: Dict[str, Subcontractor] = {}
self._payment_counter = 0
def add_subcontractor(self, company_name: str, contact_name: str, email: str,
phone: str, contract_amount: float, trade: str,
retention_percent: float = 0.10) -> Subcontractor:
sub_id = f"SUB-{len(self.subcontractors) + 1:03d}"
sub = Subcontractor(
sub_id=sub_id,
company_name=company_name,
contact_name=contact_name,
email=email,
phone=phone,
contract_amount=contract_amount,
retention_percent=retention_percent,
trade=trade
)
self.subcontractors[sub_id] = sub
return sub
def record_invoice(self, sub_id: str, invoice_number: str, invoice_date: date,
gross_amount: float, scheduled_date: date = None) -> SubcontractorPayment:
if sub_id not in self.subcontractors:
raise ValueError(f"Subcontractor {sub_id} not found")
sub = self.subcontractors[sub_id]
self._payment_counter += 1
retention = gross_amount * sub.retention_percent
net_amount = gross_amount - retention
payment = SubcontractorPayment(
payment_id=f"PAY-{self._payment_counter:05d}",
subcontractor_id=sub_id,
invoice_number=invoice_number,
invoice_date=invoice_date,
amount=net_amount,
retention_held=retention,
status=PaymentStatus.INVOICED,
scheduled_date=scheduled_date or invoice_date + timedelta(days=30)
)
sub.payments.append(payment)
return payment
def approve_payment(self, payment_id: str, sub_id: str):
sub = self.subcontractors.get(sub_id)
if not sub:
return
for payment in sub.payments:
if payment.payment_id == payment_id:
payment.status = PaymentStatus.APPROVED
break
def record_payment(self, payment_id: str, sub_id: str, check_number: str,
paid_date: date = None):
sub = self.subcontractors.get(sub_id)
if not sub:
return
for payment in sub.payments:
if payment.payment_id == payment_id:
payment.status = PaymentStatus.PAID
payment.paid_date = paid_date or date.today()
payment.check_number = check_number
break
def attach_lien_waiver(self, payment_id: str, sub_id: str, waiver_type: WaiverType,
through_date: date, amount: float, received_date: date = None):
sub = self.subcontractors.get(sub_id)
if not sub:
return
for payment in sub.payments:
if payment.payment_id == payment_id:
waiver = LienWaiver(
waiver_id=f"LW-{payment_id}",
waiver_type=waiver_type,
through_date=through_date,
amount=amount,
received_date=received_date or date.today()
)
payment.lien_waiver = waiver
break
def get_pending_payments(self) -> List[Dict[str, Any]]:
pending = []
for sub in self.subcontractors.values():
for payment in sub.payments:
if payment.status in [PaymentStatus.INVOICED, PaymentStatus.APPROVED]:
pending.append({
'payment_id': payment.payment_id,
'subcontractor': sub.company_name,
'invoice': payment.invoice_number,
'amount': payment.amount,
'scheduled': payment.scheduled_date,
'status': payment.status.value,
'has_waiver': payment.lien_waiver is not None
})
return sorted(pending, key=lambda x: x['scheduled'])
def get_missing_waivers(self) -> List[Dict[str, Any]]:
missing = []
for sub in self.subcontractors.values():
for payment in sub.payments:
if payment.status == PaymentStatus.PAID and not payment.lien_waiver:
missing.append({
'subcontractor': sub.company_name,
'payment_id': payment.payment_id,
'amount': payment.amount,
'paid_date': payment.paid_date
})
return missing
def get_summary(self) -> Dict[str, Any]:
total_contract = sum(s.contract_amount for s in self.subcontractors.values())
total_paid = sum(s.total_paid for s in self.subcontractors.values())
total_retention = sum(s.total_retention for s in self.subcontractors.values())
return {
'project': self.project_name,
'total_subcontractors': len(self.subcontractors),
'total_contract_value': total_contract,
'total_paid': total_paid,
'total_retention_held': total_retention,
'remaining_to_pay': total_contract - total_paid - total_retention,
'pending_payments': len(self.get_pending_payments()),
'missing_waivers': len(self.get_missing_waivers())
}
def export_report(self, output_path: str):
with pd.ExcelWriter(output_path, engine='openpyxl') as writer:
# Summary by subcontractor
sub_data = [{
'ID': s.sub_id,
'Company': s.company_name,
'Trade': s.trade,
'Contract': s.contract_amount,
'Paid': s.total_paid,
'Retention': s.total_retention,
'Balance': s.balance_remaining
} for s in self.subcontractors.values()]
pd.DataFrame(sub_data).to_excel(writer, sheet_name='Subcontractors', index=False)
# All payments
pay_data = []
for sub in self.subcontractors.values():
for p in sub.payments:
pay_data.append({
'Payment ID': p.payment_id,
'Subcontractor': sub.company_name,
'Invoice': p.invoice_number,
'Amount': p.amount,
'Retention': p.retention_held,
'Status': p.status.value,
'Scheduled': p.scheduled_date,
'Paid': p.paid_date,
'Waiver': p.lien_waiver.waiver_type.value if p.lien_waiver else 'Missing'
})
if pay_data:
pd.DataFrame(pay_data).to_excel(writer, sheet_name='Payments', index=False)
return output_path
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 296 lines · 25 tokens per session scan A 0e85dc0be664
subcontractor-payment-tracker is a skill published in the GitHub repository datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction (308 stars, last pushed 20d ago), licensed MIT. It adds 25 tokens to every session and 2,246 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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