xml-reader

xml-reader is a skill for Claude Code, Codex from datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction. It costs 34 tokens per session (1,874 once invoked), scanned A, original, MIT.

An XML reader for construction data, including project schedules and building information exports. XML is a structured text format used to exchange nested records between software systems.

In plain words
What is it for?
Use it to read P6, IFC-XML, COBie-XML, and buildingSMART Data Dictionary exports, including conversion to pandas tables.
Why use it?
XML files can be difficult to inspect and convert into tables by hand. This parses them and turns their contents into data that can be analyzed.

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 read P6, IFC-XML, COBie-XML, and buildingSMART Data Dictionary exports, including conversion to pandas tables.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/xml-reader
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 xml-reader
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 xml-reader

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/xml-reader"><img src="https://agentmods.dev/badge/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/xml-reader.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,874 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 $0.00034 $0.01874
Opus 5 $0.00017 $0.00937
Sonnet 5 $0.00007 $0.00375
Haiku 4.5 $0.00003 $0.00187

Measured 7d ago against content hash b397c69766f9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

xml-reader 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 7d 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:

2_DDC_Book/2.1-Data-Types-Classification/xml-reader/SKILL.md · 261 lines

How it starts

The opening of the file, as written. The whole thing — 261 lines — stays where its author put it; the contents beside it link to each section on GitHub.

XML Reader for Construction Data

Overview

XML is used in construction for P6 schedules (XER), IFC-XML, COBie-XML, and buildingSMART Data Dictionary exports. This skill parses XML and converts to structured DataFrames.

Python Implementation

import xml.etree.ElementTree as ET
import pandas as pd
from typing import Dict, Any, List, Optional, Union
from dataclasses import dataclass
from pathlib import Path
import re


@dataclass
class XMLElement:
    """Parsed XML element."""
    tag: str
    attributes: Dict[str, str]
    text: Optional[str]
    children: List['XMLElement']


class ConstructionXMLReader:
    """Parse XML from construction systems."""

    def __init__(self):
        self.namespaces: Dict[str, str] = {}

    def parse_file(self, file_path: str) -> ET.Element:
        """Parse XML file and return root element."""
        tree = ET.parse(file_path)
        root = tree.getroot()

        # Extract namespaces
        self._extract_namespaces(root)

        return root

    def parse_string(self, xml_string: str) -> ET.Element:
        """Parse XML from string."""
        root = ET.fromstring(xml_string)
        self._extract_namespaces(root)
        return root

    def _extract_namespaces(self, root: ET.Element):
        """Extract namespace mappings."""
        # Find namespace declarations
        for attr, value in root.attrib.items():
            if attr.startswith('{'):
                ns = attr[1:attr.index('}')]
                self.namespaces[root.tag.split('}')[0][1:]] = ns

    def find_elements(self, root: ET.Element,
                      tag: str,
                      namespace: str = None) -> List[ET.Element]:
        """Find all elements with given tag."""
        if namespace:
            tag = f"{{{namespace}}}{tag}"
        return root.findall(f".//{tag}")

    def element_to_dict(self, element: ET.Element,
                        include_children: bool = True) -> Dict[str, Any]:
        """Convert element to dictionary."""
        result = {
            '_tag': element.tag.split('}')[-1] if '}' in element.tag else element.tag,
            '_text': element.text.strip() if element.text else None,
            **element.attrib
        }

        if include_children:
            for child in element:
                child_tag = child.tag.split('}')[-1] if '}' in child.tag else child.tag

                if child_tag in result:
                    # Multiple children with same tag - make list
                    if not isinstance(result[child_tag], list):
                        result[child_tag] = [result[child_tag]]
                    result[child_tag].append(self.element_to_dict(child))
                else:
                    result[child_tag] = self.element_to_dict(child)

        return result

    def elements_to_dataframe(self, elements: List[ET.Element]) -> pd.DataFrame:
        """Convert list of elements to DataFrame."""
        records = []
        for elem in elements:
            record = {'_tag': elem.tag.split('}')[-1]}
            record.update(elem.attrib)

            # Get direct text content
            if elem.text and elem.text.strip():
                record['_text'] = elem.text.strip()

            # Get child values
            for child in elem:
                child_tag = child.tag.split('}')[-1]
                if child.text and child.text.strip():
                    record[child_tag] = child.text.strip()
                # Also get child attributes
                for attr, val in child.attrib.items():
                    record[f"{child_tag}_{attr}"] = val

            records.append(record)

        return pd.DataFrame(records)

    def flatten_xml(self, root: ET.Element,
                    target_tag: str = None) -> pd.DataFrame:
        """Flatten XML to DataFrame."""
        if target_tag:
            elements = self.find_elements(root, target_tag)
        else:
            elements = list(root)

        return self.elements_to_dataframe(elements)


class P6XMLReader(ConstructionXMLReader):
    """Reader for Primavera P6 XML exports."""

    def parse_activities(self, root: ET.Element) -> pd.DataFrame:
        """Parse activities from P6 XML."""
        activities = self.find_elements(root, 'Activity')
        return self.elements_to_dataframe(activities)

    def parse_resources(self, root: ET.Element) -> pd.DataFrame:
        """Parse resources from P6 XML."""
        resources = self.find_elements(root, 'Resource')
        return self.elements_to_dataframe(resources)

    def parse_wbs(self, root: ET.Element) -> pd.DataFrame:
        """Parse WBS from P6 XML."""
        wbs = self.find_elements(root, 'WBS')
        return self.elements_to_dataframe(wbs)

    def parse_full_schedule(self, file_path: str) -> Dict[str, pd.DataFrame]:
        """Parse complete P6 schedule."""
        root = self.parse_file(file_path)
        return {
            'activities': self.parse_activities(root),
            'resources': self.parse_resources(root),
            'wbs': self.parse_wbs(root)
        }


class IFCXMLReader(ConstructionXMLReader):
    """Reader for IFC-XML files."""

    def parse_entities(self, root: ET.Element) -> pd.DataFrame:
        """Parse IFC entities."""
        # Find all Ifc* elements
        all_entities = []
        for elem in root.iter():
            if elem.tag.startswith('Ifc'):
                all_entities.append(elem)
        return self.elements_to_dataframe(all_entities)

    def get_entity_types(self, root: ET.Element) -> Dict[str, int]:
        """Count entity types."""
        counts = {}
        for elem in root.iter():
            tag = elem.tag
            if tag.startswith('Ifc'):
                counts[tag] = counts.get(tag, 0) + 1
        return counts


class COBieXMLReader(ConstructionXMLReader):
    """Reader for COBie XML files."""

    COBIE_SHEETS = ['Facility', 'Floor', 'Space', 'Zone', 'Type',
                    'Component', 'System', 'Assembly', 'Connection',
                    'Spare', 'Resource', 'Job', 'Document', 'Attribute']

    def parse_cobie(self, file_path: str) -> Dict[str, pd.DataFrame]:
        """Parse all COBie sheets."""
        root = self.parse_file(file_path)
        result = {}

        for sheet in self.COBIE_SHEETS:
            elements = self.find_elements(root, sheet)
            if elements:
                result[sheet] = self.elements_to_dataframe(elements)

        return result


class BSDDXMLReader(ConstructionXMLReader):
    """Reader for buildingSMART Data Dictionary exports."""

    def parse_classifications(self, root: ET.Element) -> pd.DataFrame:
        """Parse classification items."""
        items = self.find_elements(root, 'Classification')
        return self.elements_to_dataframe(items)

    def parse_properties(self, root: ET.Element) -> pd.DataFrame:
        """Parse property definitions."""
        props = self.find_elements(root, 'Property')
        return self.elements_to_dataframe(props)

Read the full file on GitHub · 261 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. 7d ago First seen · 261 lines · 34 tokens per session scan A b397c69766f9

Subscribe to this mod's changes

xml-reader is a skill published in the GitHub repository datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction (307 stars, last pushed 19d ago), licensed MIT. It adds 34 tokens to every session and 1,874 once invoked, about $0.0002 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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