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 jdmorag97-rgb/DDC_Skills_for_AI_Agents_in_Construction --skill project-closeout-checklistgit clone --depth 1 https://github.com/jdmorag97-rgb/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/jdmorag97-rgb/ddc_skills_for_ai_agents_in_construction/project-closeout-checklist)<a href="https://agentmods.dev/skills/jdmorag97-rgb/ddc_skills_for_ai_agents_in_construction/project-closeout-checklist"><img src="https://agentmods.dev/badge/skills/jdmorag97-rgb/ddc_skills_for_ai_agents_in_construction/project-closeout-checklist/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/jdmorag97-rgb/ddc_skills_for_ai_agents_in_construction/project-closeout-checklist"><img src="https://agentmods.dev/badge/skills/jdmorag97-rgb/ddc_skills_for_ai_agents_in_construction/project-closeout-checklist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00023 | $0.01320 |
| Opus 5 | $0.00012 | $0.00660 |
| Sonnet 5 | $0.00005 | $0.00264 |
| Haiku 4.5 | $0.00002 | $0.00132 |
Grade A, and why
project-closeout-checklist 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 9d 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.
This is a copy
100% identical to project-closeout-checklist — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Project Closeout Checklist
Technical Implementation
import pandas as pd
from datetime import date
from typing import Dict, Any, List, Optional
from dataclasses import dataclass, field
from enum import Enum
class ChecklistCategory(Enum):
DOCUMENTATION = "documentation"
FINANCIAL = "financial"
INSPECTIONS = "inspections"
TRAINING = "training"
WARRANTIES = "warranties"
PUNCHLIST = "punchlist"
TURNOVER = "turnover"
class ItemStatus(Enum):
NOT_STARTED = "not_started"
IN_PROGRESS = "in_progress"
COMPLETE = "complete"
NOT_APPLICABLE = "not_applicable"
@dataclass
class CloseoutItem:
item_id: str
description: str
category: ChecklistCategory
responsible_party: str
due_date: date
status: ItemStatus
completed_date: Optional[date] = None
notes: str = ""
attachments: List[str] = field(default_factory=list)
class ProjectCloseoutChecklist:
def __init__(self, project_name: str, substantial_completion: date):
self.project_name = project_name
self.substantial_completion = substantial_completion
self.items: Dict[str, CloseoutItem] = {}
self._load_standard_items()
def _load_standard_items(self):
standard = [
("Documentation", ChecklistCategory.DOCUMENTATION, [
"As-built drawings", "O&M manuals", "Attic stock",
"Keying schedule", "Equipment list"
]),
("Financial", ChecklistCategory.FINANCIAL, [
"Final payment application", "Release of liens",
"Consent of surety", "Final change orders"
]),
("Inspections", ChecklistCategory.INSPECTIONS, [
"Final building inspection", "Fire marshal inspection",
"Elevator inspection", "Certificate of Occupancy"
]),
("Training", ChecklistCategory.TRAINING, [
"HVAC system training", "Fire alarm training",
"Security system training", "BAS training"
]),
("Warranties", ChecklistCategory.WARRANTIES, [
"Roofing warranty", "HVAC warranty", "Elevator warranty",
"General contractor warranty"
])
]
counter = 0
for category_name, category, items in standard:
for desc in items:
counter += 1
item_id = f"CLO-{counter:03d}"
self.items[item_id] = CloseoutItem(
item_id=item_id,
description=desc,
category=category,
responsible_party="Contractor",
due_date=self.substantial_completion,
status=ItemStatus.NOT_STARTED
)
def add_item(self, description: str, category: ChecklistCategory,
responsible_party: str, due_date: date) -> CloseoutItem:
item_id = f"CLO-{len(self.items) + 1:03d}"
item = CloseoutItem(
item_id=item_id,
description=description,
category=category,
responsible_party=responsible_party,
due_date=due_date,
status=ItemStatus.NOT_STARTED
)
self.items[item_id] = item
return item
def update_status(self, item_id: str, status: ItemStatus, notes: str = ""):
if item_id in self.items:
self.items[item_id].status = status
if status == ItemStatus.COMPLETE:
self.items[item_id].completed_date = date.today()
if notes:
self.items[item_id].notes = notes
def get_completion_percentage(self) -> float:
applicable = [i for i in self.items.values()
if i.status != ItemStatus.NOT_APPLICABLE]
complete = [i for i in applicable if i.status == ItemStatus.COMPLETE]
return (len(complete) / len(applicable) * 100) if applicable else 0
def get_outstanding_items(self) -> List[CloseoutItem]:
return [i for i in self.items.values()
if i.status in [ItemStatus.NOT_STARTED, ItemStatus.IN_PROGRESS]]
def get_summary_by_category(self) -> Dict[str, Dict[str, int]]:
summary = {}
for item in self.items.values():
cat = item.category.value
if cat not in summary:
summary[cat] = {'total': 0, 'complete': 0, 'outstanding': 0}
summary[cat]['total'] += 1
if item.status == ItemStatus.COMPLETE:
summary[cat]['complete'] += 1
elif item.status != ItemStatus.NOT_APPLICABLE:
summary[cat]['outstanding'] += 1
return summary
def export_checklist(self, output_path: str):
data = [{
'ID': i.item_id,
'Description': i.description,
'Category': i.category.value,
'Responsible': i.responsible_party,
'Due': i.due_date,
'Status': i.status.value,
'Completed': i.completed_date,
'Notes': i.notes
} for i in self.items.values()]
pd.DataFrame(data).to_excel(output_path, index=False)
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.
- 9d ago First seen · 170 lines · 23 tokens per session scan A 4c3ee5a9ddd6
project-closeout-checklist is a skill published in the GitHub repository jdmorag97-rgb/DDC_Skills_for_AI_Agents_in_Construction (2 stars, last pushed 6mo ago), licensed MIT. It adds 23 tokens to every session and 1,320 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to project-closeout-checklist, differing in 0 lines, and is treated as a copy.
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