verifier-module

Verify candidate answers against original problems with verdict labels and reports.

43|2|Updated Mar 26, 2026
One-click install
npx skills add https://github.com/curated-skills/LinguaClaw --skill verifier-module
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: verifier-module
Source: https://github.com/curated-skills/LinguaClaw/tree/main/harnesses/modules/verifier
Command: npx skills add https://github.com/curated-skills/LinguaClaw --skill verifier-module

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you verify whether a candidate answer truly solves a given problem, catching factual, logical, and completeness issues before acceptance.

Core Features & Use Cases

  • Verdict-Label Verification: Produces exactly one verdict label in Chinese (解决, 部分解决, 未解决) to support consistent downstream decisioning.
  • Structured Claim Checking: Decomposes the candidate’s claims into checkable subclaims and classifies each as verified, contradicted, or uncheckable.
  • Conservative Acceptance: Blocks full approval when key checks are missing or claims remain uncheckable, reducing hallucination-driven false positives.
  • Verification Report Output: Explains why the verdict was chosen, lists defects and omissions, and names checks run or blocked.

Quick Start

Load the verifier-module role, provide the original problem statement plus the candidate answer, and ask it to audit the candidate and output a single verdict label with a detailed verification report.

Frequently Asked Questions about verifier-module

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

FAQPage Schema
How do I verify if a candidate answer truly solves a problem before accepting it?

Answer verification audits a candidate against the original problem by extracting and checking claims for factual accuracy, logical support, and completeness to catch issues before acceptance. It decomposes claims into subclaims and classifies each as verified, contradicted, or uncheckable.

What is a conservative verdict contract for fact checking and answer auditing?

A conservative verdict contract blocks full approval when key checks are missing or claims remain uncheckable, reducing hallucination-driven false positives. It requires exactly one label (解决, 部分解决, or 未解决) to support consistent downstream decisioning.

How do I audit an answer to produce a structured verification report?

To audit an answer, load the verifier role, provide the original problem statement plus the candidate answer, and ask it to output a single verdict label with a detailed verification report. The report lists defects, omissions, contradictions, and names checks run or blocked.

Can I use agent evaluation for solution review scenarios involving text, plans, or patches?

Yes, agent evaluation applies to solution review scenarios where answers may include text, plans, analyses, or patches, and where task materials and runnable checks are available for independent verification of factual accuracy and logical consistency.

What happens when key checks are missing during logical consistency verification?

When key checks are missing or claims remain uncheckable, conservative acceptance logic blocks full approval to reduce false positives. The verification report details which checks were run, which could not be completed, and any resulting defects or omissions.