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Construction data quality checks v1.0.0

Use this resource to assess the quality of construction data

New

  • 428 downloads
  • 207 likes
  • 107 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install data-quality-validation-2

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent measures data quality on five metrics (completeness, accuracy, consistency, timeliness, validity) using rules, regular expressions and thresholds, then produces a report. You get a score per metric and the anomalies to correct.

Mostly picked by

Updated November 2, 2026

Card for the “Construction data quality checks” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md : quality metrics, rules and reporting in Python
  • instructions.md : automated pipeline and reporting instructions

Good fit for

  • You must validate data before estimating or scheduling
  • You want to track the quality of an export over time

Not for

    Tags

    • quality
    • data
    • validation
    • completeness

    About

    You say

    “Check the quality of this quantity export: completeness, unit consistency and valid cost codes.”

    Card for the “Construction data quality checks” skill

    Skill published by datadrivenconstruction under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to assess the quality of construction data
    3. Review and adjust the result

    Content preview

    Files

    • claw.json0.6 KB
    • instructions.md1.3 KB
    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.6 KB
    • SKILL.md19.9 KB

    Origin and licence

    Listed unmodified

    Author
    datadrivenconstruction
    Source
    github.com/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/tree/410ed1e71e4a5c6fd231afd0c8d1e586a9f546e8/2_DDC_Book/2.6-Data-Quality-Validation/data-quality-check
    Licence
    MIT

    Notice

    « data-quality-check » (datadrivenconstruction, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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