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/audit-reporting-quality

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

From plugin
de-anthropocentric-research-engine
507200 skills

Claude Code

$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill audit-reporting-quality --agent claude-code

SKILL.md

audit-reporting-quality.SKILL.md
name: audit-reporting-quality
description: "Audit whether a research/evaluation artifact reports the information needed for interpretation and reproduction, using a domain-appropriate checklist."

audit-reporting-quality

Purpose

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

Input contract

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

Procedure

1. Instantiate the checklist for the artifact type and domain. 2. Inspect each item and record evidence, omission, or ambiguity. 3. Separate interpretation-critical omissions from cosmetic omissions. 4. Summarize reporting completeness and reproduction implications.

Output contract

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

Quality gates

  • Checklist version and applicability are recorded.
  • Missing information is not silently inferred.

Failure and counterexamples

Do not equate a long report with complete reporting or treat an inapplicable checklist item as a failure.

Provenance map

  • `resolved: knowledge-acquisition-documentation-audit`
  • `resolved: knowledge-acquisition-reproducibility-checklist-audit`
  • `intermediate: Pass3/audit-benchmark-documentation`
  • `intermediate: Pass3/audit-reproducibility-reporting`
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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 audit-reporting-quality.

Which coding agents can use audit-reporting-quality?
audit-reporting-quality 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.