as-built-documentation

as-built-documentation is a skill for Claude Code, Codex from datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction. It costs 26 tokens per session (1,835 once invoked), scanned A, original, MIT.

A construction closeout documentation tracker for recording drawing changes and checking project records for completeness.

In plain words
What is it for?
Use it to manage drawing markups, review document statuses, verify required records, and prepare handover documentation.
Why use it?
It addresses undocumented field changes, outdated drawings, missing closeout records, and difficult handover checks.

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 manage drawing markups, review document statuses, verify required records, and prepare handover documentation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/as-built-documentation
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 as-built-documentation
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 as-built-documentation

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/as-built-documentation"><img src="https://agentmods.dev/badge/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/as-built-documentation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,835 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 $0.00026 $0.01835
Opus 5 $0.00013 $0.00918
Sonnet 5 $0.00005 $0.00367
Haiku 4.5 $0.00003 $0.00184

Measured 11d ago against content hash ea9ce89d2d98, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

as-built-documentation 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

1_DDC_Toolkit/Document-Control/as-built-documentation/SKILL.md · 257 lines

How it starts

The opening of the file, as written. The whole thing — 257 lines — stays where its author put it; the contents beside it link to each section on GitHub.

As-Built Documentation Manager

Business Case

Problem Statement

As-built documentation is often incomplete:

  • Field changes not documented
  • Drawings not updated consistently
  • Missing documentation at closeout
  • Difficult to verify completeness

Solution

Systematic as-built documentation tracking with drawing markup management, completeness verification, and handover preparation.

Technical Implementation

import pandas as pd
from datetime import datetime, date
from typing import Dict, Any, List, Optional
from dataclasses import dataclass, field
from enum import Enum


class DocumentType(Enum):
    DRAWING = "drawing"
    SPECIFICATION = "specification"
    SUBMITTAL = "submittal"
    MANUAL = "manual"
    WARRANTY = "warranty"
    CERTIFICATE = "certificate"


class MarkupStatus(Enum):
    PENDING = "pending"
    IN_REVIEW = "in_review"
    APPROVED = "approved"
    INCORPORATED = "incorporated"


class DocumentStatus(Enum):
    DRAFT = "draft"
    UNDER_REVIEW = "under_review"
    APPROVED = "approved"
    FINAL = "final"


@dataclass
class Markup:
    markup_id: str
    description: str
    location: str
    marked_by: str
    marked_date: date
    status: MarkupStatus
    cloud_reference: str = ""
    notes: str = ""


@dataclass
class AsBuiltDocument:
    document_id: str
    document_number: str
    title: str
    document_type: DocumentType
    discipline: str
    revision: str
    status: DocumentStatus
    original_file: str
    as_built_file: str
    markups: List[Markup] = field(default_factory=list)
    last_updated: Optional[date] = None
    verified_by: str = ""
    verified_date: Optional[date] = None

    @property
    def is_complete(self) -> bool:
        return self.status == DocumentStatus.FINAL and all(
            m.status == MarkupStatus.INCORPORATED for m in self.markups
        )


class AsBuiltDocumentManager:
    """Manage as-built documentation."""

    def __init__(self, project_name: str):
        self.project_name = project_name
        self.documents: Dict[str, AsBuiltDocument] = {}
        self._markup_counter = 0

    def register_document(self, document_number: str, title: str,
                         document_type: DocumentType, discipline: str,
                         original_file: str, revision: str = "0") -> AsBuiltDocument:
        doc_id = f"DOC-{len(self.documents) + 1:04d}"

        doc = AsBuiltDocument(
            document_id=doc_id,
            document_number=document_number,
            title=title,
            document_type=document_type,
            discipline=discipline,
            revision=revision,
            status=DocumentStatus.DRAFT,
            original_file=original_file,
            as_built_file=""
        )
        self.documents[doc_id] = doc
        return doc

    def add_markup(self, doc_id: str, description: str, location: str,
                  marked_by: str, cloud_reference: str = "") -> Markup:
        if doc_id not in self.documents:
            raise ValueError(f"Document {doc_id} not found")

        self._markup_counter += 1
        markup = Markup(
            markup_id=f"MKP-{self._markup_counter:05d}",
            description=description,
            location=location,
            marked_by=marked_by,
            marked_date=date.today(),
            status=MarkupStatus.PENDING,
            cloud_reference=cloud_reference
        )
        self.documents[doc_id].markups.append(markup)
        return markup

    def update_markup_status(self, doc_id: str, markup_id: str, status: MarkupStatus):
        if doc_id in self.documents:
            for markup in self.documents[doc_id].markups:
                if markup.markup_id == markup_id:
                    markup.status = status
                    break

    def upload_as_built(self, doc_id: str, file_path: str, new_revision: str = None):
        if doc_id not in self.documents:
            return
        doc = self.documents[doc_id]
        doc.as_built_file = file_path
        doc.last_updated = date.today()
        if new_revision:
            doc.revision = new_revision
        doc.status = DocumentStatus.UNDER_REVIEW

    def verify_document(self, doc_id: str, verified_by: str):
        if doc_id not in self.documents:
            return
        doc = self.documents[doc_id]
        doc.verified_by = verified_by
        doc.verified_date = date.today()
        doc.status = DocumentStatus.FINAL

    def get_completeness_report(self) -> Dict[str, Any]:
        total = len(self.documents)
        complete = sum(1 for d in self.documents.values() if d.is_complete)
        pending_markups = sum(
            len([m for m in d.markups if m.status != MarkupStatus.INCORPORATED])
            for d in self.documents.values()
        )

        by_discipline = {}
        for doc in self.documents.values():
            if doc.discipline not in by_discipline:
                by_discipline[doc.discipline] = {'total': 0, 'complete': 0}
            by_discipline[doc.discipline]['total'] += 1
            if doc.is_complete:
                by_discipline[doc.discipline]['complete'] += 1

        return {
            'project': self.project_name,
            'total_documents': total,
            'complete': complete,
            'completion_percent': round(complete / total * 100, 1) if total > 0 else 0,
            'pending_markups': pending_markups,
            'by_discipline': by_discipline
        }

    def get_incomplete_documents(self) -> List[AsBuiltDocument]:
        return [d for d in self.documents.values() if not d.is_complete]

    def export_register(self, output_path: str):
        with pd.ExcelWriter(output_path, engine='openpyxl') as writer:
            # Document register
            doc_data = [{
                'ID': d.document_id,
                'Number': d.document_number,
                'Title': d.title,
                'Type': d.document_type.value,
                'Discipline': d.discipline,
                'Revision': d.revision,
                'Status': d.status.value,
                'Complete': d.is_complete,
                'Markups': len(d.markups),
                'Verified By': d.verified_by
            } for d in self.documents.values()]
            pd.DataFrame(doc_data).to_excel(writer, sheet_name='Register', index=False)

            # Markups
            markup_data = []
            for doc in self.documents.values():
                for m in doc.markups:
                    markup_data.append({
                        'Document': doc.document_number,
                        'Markup ID': m.markup_id,
                        'Description': m.description,
                        'Location': m.location,
                        'Marked By': m.marked_by,
                        'Status': m.status.value
                    })
            if markup_data:
                pd.DataFrame(markup_data).to_excel(writer, sheet_name='Markups', index=False)

        return output_path

Read the full file on GitHub · 257 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. 11d ago First seen · 257 lines · 26 tokens per session scan A ea9ce89d2d98

Subscribe to this mod's changes

as-built-documentation 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 26 tokens to every session and 1,835 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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