AgentSkillsCN

data-validator

根据JSON Schema，对传入数据进行验证、清洗与丰富。在处理或存储记录之前，确保数据质量时使用。

SKILL.md
--- frontmatter
name: data-validator
description: Validates, cleanses and enriches incoming data against JSON schemas. Use when you need to ensure data quality before processing or storing records.

Data Validation Agent

When to use

Use this skill to validate incoming data payloads against a schema, flag invalid records, and enrich valid ones before persistence.

Instructions

  1. •Load the validation schema (JSON Schema or Pydantic model)
  2. •Process each incoming record against the schema
  3. •Flag invalid records with detailed error messages
  4. •Apply data cleansing rules (trim whitespace, normalize dates, etc.)
  5. •Enrich valid records with computed fields if configured
  6. •Route valid records to the target store and invalid ones to error queue
  7. •Generate a validation report with pass/fail statistics

Environment

  • •Runtime: python-3.12
  • •Trigger: Webhook
  • •Category: Data and AI Agents

Examples

  • •"Validate all incoming supplier API payloads before inserting to Supabase"
  • •"Clean and validate the CSV import before loading into Airtable"