yogsoth-ai/de-anthropocentric-research-engine

audit-reporting-quality

Audit whether a research/evaluation artifact reports the information needed for interpretation and reproduction, using a domain-appropriate checklist.

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使用方法

复制安装命令，在自己的智能体环境安装前先检查源码包。
从原始文档核对所需工具、凭据和支持的宿主。
说明输入材料与期望交付物，并对照来源检查输出。

npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill audit-reporting-quality

开始前需了解

安装不包含模型订阅、API 额度或访问文件的权限。
仓库星数和安装量反映活跃情况，不等于独立质量或安全测试。

仓库原始内容

按源仓库内容呈现，保留标题、案例、代码、表格、链接以及原文引用的演示图片。

audit-reporting-quality

Purpose

Audit whether an artifact reports the information needed for interpretation and reproduction using a declared domain-appropriate checklist.

Input contract

yaml

required: [artifact, reporting_checklist]
optional: [domain_schema, reproduction_requirements, source_context]
constraints: [each checklist judgment must cite present, absent, or ambiguous evidence]

Procedure

Instantiate the checklist for the artifact type and domain.
Inspect each item and record evidence, omission, or ambiguity.
Separate interpretation-critical omissions from cosmetic omissions.
Summarize reporting completeness and reproduction implications.

Output contract

yaml

produces: [checklist_results, critical_omissions, ambiguity_log, reporting_quality_summary]
delta_fields: [findings, evidence_updates, uncertainties, decisions, open_questions]