evidence-household-handler

Extract household registry image data into structured card_features slots.

Updated Jul 20, 2025
One-click install
npx skills add https://github.com/sungaoxiang-backend/intelligent-evidence-platform --skill evidence-household-handler
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: evidence-household-handler
Source: https://github.com/sungaoxiang-backend/intelligent-evidence-platform/tree/main/app/agentic/skills/evidence-household-handler
Command: npx skills add https://github.com/sungaoxiang-backend/intelligent-evidence-platform --skill evidence-household-handler

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the extraction of household registry images into structured EvidenceCard card_features, reducing manual data entry and improving consistency across legal evidence workflows.

Core Features & Use Cases

  • Rule-based extraction of preset slots (姓名, 与户主关系, 出生日期, 户籍地址, 公民身份号码, 发证机关)
  • Enhanced extraction mode for deeper insights beyond standard fields
  • Use Case: Given a single household registry image, generate a card_features list ready for evidence packaging and review.

Quick Start

Provide an input image via evidence_materials YAML (e.g., url, evidence_id, file_type). Example:

  • url: "https://example.com/household.jpg" evidence_id: "uuid-1" file_type: "image" To enable extra details, set extraction_mode: enhanced and optionally use extraction_prompt.

Frequently Asked Questions about evidence-household-handler

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

FAQPage Schema
How do I extract structured data from a household registry image?

To extract structured data from a household registry image, provide a single image via YAML-formatted evidence_materials. The Skill uses OCR-based parsing to output a flat list of slot entries like 姓名, 出生日期, and 公民身份号码.

Can I extract additional fields beyond standard household registry slots?

Yes, you can extract additional fields by setting extraction_mode to enhanced in your YAML input. This mode enables deeper insights beyond standard preset slots, and you can optionally use extraction_prompt to guide the extraction.

What format is required for inputting household registry images?

Household registry images require YAML-formatted evidence_materials input containing url, evidence_id, and file_type. The Skill processes a single image input to generate card_features ready for evidence packaging.

How does OCR parsing handle confidence values for extracted household registry slots?

OCR parsing outputs flat list slot entries that include slot_value_type and confidence metrics for each extracted field. This ensures data consistency across legal evidence workflows by quantifying extraction reliability.

What is the best way to automate household registry data entry for legal evidence?

The best way to automate household registry data entry is using rule-based extraction of preset slots to generate EvidenceCard card_features. This reduces manual entry by outputting structured data like 籍贯 and 发证机关 directly.

Does the household registry extractor support batch processing of multiple images?

No, the household registry extractor operates on a single image input only. It processes one image at a time to output a flat list of structured slot data for evidence packaging and review.