yogsoth-ai/de-anthropocentric-research-engine

enumerate-validator-assumptions

Enumerate assumptions embedded in a validator/test/sandbox, including data-generation, measurement, simulator, oracle, metric, initialization, and acceptance assumptions.

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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 enumerate-validator-assumptions

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。

enumerate-validator-assumptions

Purpose

Enumerate assumptions embedded in a validator, benchmark, sandbox, or test.

Input contract

yaml

required: [validator_artifact, target_claim]
optional: [data_generation, measurement, simulator, oracle, metric, initialization, acceptance_rule]
constraints: [assumptions must be classified by source and role]

Procedure

Inspect data generation, measurement, simulator, oracle, metric, initialization, and acceptance.
Record each assumption and its relation to the target.
Mark evidence, uncertainty, and potential circularity.

If validator assumptions and dependencies are explicit, consider build-noncircularity-matrix as the next tactic.

Output contract

yaml

produces: [validator_assumption_inventory, dependency_links, circularity_candidates]
delta_fields: [findings, evidence_updates, uncertainties, open_questions]