skd-validate

Name: skd-validate
Availability: InStock
Author: nikolay-shirokov

Validate 1C Data Composition Schemas (Template.xml) for structural errors.

511|99|Updated Feb 8, 2026

Search Tags:#validation #schema #1c #template.xml #skd #data composition

Ready to run

npx skills add https://github.com/Nikolay-Shirokov/cc-1c-skills --skill skd-validate

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: skd-validate
Source: https://github.com/Nikolay-Shirokov/cc-1c-skills/tree/main/.claude/skills/skd-validate
Command: npx skills add https://github.com/Nikolay-Shirokov/cc-1c-skills --skill skd-validate

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill ensures that your 1C Data Composition Schemas (Template.xml) are structurally sound and free from common errors, preventing runtime issues and unexpected behavior in your reports.

Core Features & Use Cases

Structural Validation: Checks XML parsing, root element, namespaces, and data source/set definitions.
Error Detection: Identifies issues like duplicate names, invalid references, empty queries, and incorrect field paths.
Use Case: Before deploying a new report, run this Skill to catch potential errors in the Data Composition Schema, saving debugging time and ensuring report stability.

Quick Start

Validate the Data Composition Schema located at '/path/to/your/Template.xml'.

Frequently Asked Questions about skd-validate

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I validate a 1C Data Composition Schema XML file?▼

The skill validates the structural integrity of 1C Data Composition Schemas by parsing Template.xml and checking for incorrect namespaces, missing or duplicate data sources, invalid field references, and malformed expressions.

What common errors can occur in 1C DCS Template.xml files?▼

Common errors include incorrect namespaces, missing or duplicate data sources and data sets, invalid field references, empty queries, and malformed expressions in the Template.xml file.

Can I check for invalid field references in a 1C Data Composition Schema before deployment?▼

Yes, you can validate the schema before deployment to catch potential errors like invalid field references and malformed expressions, saving debugging time and ensuring report stability.

Does the 1C schema validation check for duplicate data sources and data sets?▼

Yes, the validation checks for duplicate names in data sources and data sets, along with missing definitions, invalid references, and empty queries in the schema.

Why does my 1C report have runtime issues after deploying a Data Composition Schema?▼

Runtime issues can occur due to structural errors in the Template.xml file, such as incorrect namespaces, missing data sources, invalid field references, or malformed expressions that violate the 1C DCS XML format specifications.

What is the best way to ensure a 1C DCS XML file adheres to format specifications?▼

The best way is to run a structural validation that checks XML parsing, root element, namespaces, data source and data set definitions, field references, and expressions against the 1C DCS XML format specifications.