project-closeout-checklist

project-closeout-checklist is a skill for Claude Code, Codex from datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction. It costs 23 tokens per session (1,320 once invoked), scanned A, original, MIT.

A checklist for finishing a construction project, including documentation, final inspections, training, warranties, and handover tasks.

In plain words
What is it for?
Use it to track each closeout item, its responsible person, due date, status, notes, and attachments.
Why use it?
It keeps closeout work visible and assigned, so required records and final corrections are less likely to be missed.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit Use it to track each closeout item, its responsible person, due date, status, notes, and attachments.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/project-closeout-checklist
Install

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.

Any agent
npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill project-closeout-checklist
Clone the repo
git clone --depth 1 https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for project-closeout-checklist

README.md
[![agentmods](https://agentmods.dev/badge/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/project-closeout-checklist/github.svg)](https://agentmods.dev/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/project-closeout-checklist)
Your own site
<a href="https://agentmods.dev/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/project-closeout-checklist"><img src="https://agentmods.dev/badge/skills/datadrivenconstruction/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.

agentmods 80×15 button for project-closeout-checklist

Your own site · 80×15
<a href="https://agentmods.dev/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/project-closeout-checklist"><img src="https://agentmods.dev/badge/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/project-closeout-checklist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,320 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 9d ago against content hash 4c3ee5a9ddd6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

1_DDC_Toolkit/Project-Closeout/project-closeout-checklist/SKILL.md · 170 lines

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)

Read the full file on GitHub · 170 lines

Files

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.

Changes

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.

  1. 9d ago First seen · 170 lines · 23 tokens per session scan A 4c3ee5a9ddd6

Subscribe to this mod's changes

project-closeout-checklist is a skill published in the GitHub repository datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction (310 stars, last pushed 21d 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. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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