dag-output-validator

Validate DAG node outputs against JSON schemas and quality rules.

10|1|Updated Mar 17, 2026
One-click install
npx skills add https://github.com/curiositech/windags-skills --skill dag-output-validator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dag-output-validator
Source: https://github.com/curiositech/windags-skills/tree/main/skills/dag-output-validator
Command: npx skills add https://github.com/curiositech/windags-skills --skill dag-output-validator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill ensures agent outputs conform to defined schemas and quality thresholds, preventing invalid results from propagating through the DAG.

Core Features & Use Cases

  • Validates output structures against JSON schemas
  • Checks required fields, types, and nested structures
  • Performs quality scoring and flags issues for review
  • Integrates with downstream validators like dag-confidence-scorer and dag-result-aggregator

Quick Start

Run the validator on a sample output to verify schema conformity and quality rules.

Frequently Asked Questions about dag-output-validator

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

FAQPage Schema
How do I validate structured output against a JSON schema before downstream processing?

You validate structured output against a JSON schema by applying schema conformity rules and quality checks to agent outputs, ensuring invalid data is detected early before it propagates through a DAG pipeline.

What's the best way to enforce quality requirements for structured pipeline outputs?

Enforcing quality requirements for structured pipeline outputs involves specifying a JSON schema, defining quality rules, and applying optional validators to ensure outputs meet minimum standards before downstream processing.

How do I check required fields and nested structures in agent outputs?

To check required fields and nested structures in agent outputs, apply schema validation that verifies required fields, types, and nested structures against a defined JSON schema.

Can I use custom validators alongside schema checks for DAG node outputs?

Yes, you can use custom validators alongside schema checks by specifying optional validators that enforce minimum quality standards and schema conformity for DAG node outputs.

Why does invalid data propagate through my pipeline, and how do I stop it?

Invalid data propagates through pipelines when outputs lack early validation; stopping it requires applying schema conformity and quality rules at DAG nodes to detect invalid results before downstream processing.