Evaluate extracted entities against verification rules and return structured judgments.
npx skills add https://github.com/memect/kc --skill compliance-judgment
Please help me install this Agent Skill. Skill: compliance-judgment Source: https://github.com/memect/kc/tree/main/template/skills/zh/compliance-judgment Command: npx skills add https://github.com/memect/kc --skill compliance-judgment
Determine whether extracted entities comply with verification rules and translate rule intent into actionable judgments, enabling transparent, auditable verification.
Feed extracted entities and verification rules to produce per-document pass/fail judgments for each rule.
High-intent search queries and answers about installing and using this skill.
To verify extracted entities comply with compliance rules, this skill evaluates each document-rule pair using deterministic Python calculations for exact checks and worker LLMs for semantic judgments. It returns structured pass/fail results with actionable comments and confidence scores.
The best way to automate compliance judgment across multiple documents is applying per-document, per-rule evaluation logic. This approach converts natural-language verification rules into executable logic, producing transparent and auditable pass/fail judgments for each extracted entity.
Yes, you can use LLMs for semantic compliance checks. This skill specifically chooses worker LLMs for semantic evaluation when deterministic logic is insufficient, while applying Python calculations for standard deterministic verification tasks.
Yes, the compliance judgment workflow returns a JSON-ready structure. Each evaluation result includes specific fields like field_id, document, result, extracted_value, expected, comment, and confidence for seamless downstream integration.
To debug failed compliance verification rules, feed your extracted entities and verification rules to this skill. It identifies specific pass/fail conditions and produces actionable comments explaining failures, enabling transparent and auditable verification debugging.
Alex1980AlexConstruct knowledge graphs from document chunks and query them with LightRAG/GraphRAG modes.
Kling0012Automate verification checks with truth scoring and rollback for CI/CD pipelines.
ccfCoordinate distributed transactions across services using saga patterns.
zerwizList and retrieve official Pi.dev developer rules for compliance checks.
