assess-construct-validity

Assess whether a benchmark measures its claimed capability using content, convergent, discriminant, and confound analysis.

Star: 503
分类: 科研
许可证: Apache-2.0
最近提交: 2026年9月29日

安装

将下方内容发给 Claude Code、Codex 或 Cursor。智能体先检查 Skill 内容，经你确认后安装。

读取 https://funcoding.ai/skills/yogsoth-ai/de-anthropocentric-research-engine/assess-construct-validity/install.md ，按里面的步骤帮我安装这个 Skill。

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来源仓库

yogsoth-ai/de-anthropocentric-research-engine

A 267-skill research graph in pure markdown — 51 research operations built from 216 single-purpose steps, composed in any order with explicit backtracking. One npx install, no runtime, no MCP bindings. The AI is the researcher; you set the direction.

在 GitHub 上查看

README 徽章

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skills/assess-construct-validity/SKILL.md

assess-construct-validity

Purpose

Assess whether a benchmark or evaluation construct measures the claimed capability rather than content cues, confounds, or unrelated skill.

Input contract

required: [construct_claim, benchmark_specification, evaluation_records]
optional: [content_analysis, convergent_measures, discriminant_measures, confound_hypotheses]
constraints: [each validity judgment requires an observable indicator, comparison basis, and provenance]

Procedure

State the target construct and map benchmark tasks, labels, and metrics to its intended components.
Check content coverage and plausible construct-irrelevant cues against the benchmark specification.
Compare convergent and discriminant evidence where available, preserving missing comparisons.
Test confound hypotheses with controlled contrasts or artifact probes and record residual uncertainty.

If construct validity depends on whether the operationalization covers the intended domain, consider map-coverage-space as the next tactic.

Output contract

produces: [construct_map, content_validity_assessment, convergent_discriminant_evidence, confound_report, validity_judgment]
delta_fields: [findings, evidence_updates, uncertainties, decisions, open_questions]

Quality gates

Every validity claim cites a task, measure, contrast, or artifact observation.
Content coverage, convergence, discrimination, and confounds are reported separately.
A missing diagnostic is marked unresolved rather than treated as evidence of validity.

Failure and counterexamples

Do not infer construct validity from a high score, face validity, or agreement with another measure that shares the same confound.

Provenance map

resolved: construct-validity-assessment

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