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/assess-construct-validity

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

From plugin
de-anthropocentric-research-engine
507200 skills

Claude Code

$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill assess-construct-validity --agent claude-code

SKILL.md

assess-construct-validity.SKILL.md
name: assess-construct-validity
description: "Assess whether a benchmark measures its claimed capability using content, convergent, discriminant, and confound analysis."

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

1. State the target construct and map benchmark tasks, labels, and metrics to its intended components. 2. Check content coverage and plausible construct-irrelevant cues against the benchmark specification. 3. Compare convergent and discriminant evidence where available, preserving missing comparisons. 4. 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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@yogsoth-ai
Ships withde-anthropocentric-research-engine

A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.

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Questions about assess-construct-validity.

Which coding agents can use assess-construct-validity?
assess-construct-validity installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.