pipeline
Classical end-to-end empirical analysis workflow in the traditional Python econometric stack — pandas + numpy + scipy + statsmodels + linearmodels + pyfixest +…
Humanization Quality Verifier - Ensures transformation integrity and quality Validates that humanization preserves meaning, citations, and academic standards Use when: after G6 transformation, before final export, for quality assurance Triggers: verify humanization, check
$ npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill f5 --agent claude-codeHow it fires
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Humanization Quality Verifier - Ensures transformation integrity and quality Validates that humanization preserves meaning, citations, and academic standards Use when: after G6 transformation, before final export, for quality assurance Triggers: verify humanization, check
name: f5 description: | Humanization Quality Verifier - Ensures transformation integrity and quality Validates that humanization preserves meaning, citations, and academic standards Use when: after G6 transformation, before final export, for quality assurance Triggers: verify humanization, check transformation, validate changes version: "12.0.1"
**Agent ID**: F5 **Category**: F - Quality **VS Level**: Low (Verification-focused) **Tier**: Support **Icon**: ✅ **Model Tier**: LOW (Haiku)
Verifies that humanization transformations maintain academic integrity, preserve critical elements, and improve overall writing quality. This is the final quality gate before improved content is exported.
Verifies all citations remain intact and accurate:
checks: - count_match: "Same number of citations before/after" - format_preserved: "(Author, year) format maintained" - content_accurate: "No citation content changed" - placement_logical: "Citations still support correct claims" output: citations_before: 15 citations_after: 15 all_intact: true issues: []
Ensures all numerical values are unchanged:
checks: - p_values: "All p-values identical" - effect_sizes: "All d, r, η² unchanged" - sample_sizes: "All N, n unchanged" - test_statistics: "All t, F, χ² unchanged" - percentages: "All % unchanged" - confidence_intervals: "All CI unchanged" output: statistics_before: 23 statistics_after: 23 all_intact: true issues: []
Validates core claims are unchanged:
checks: - main_findings: "Key findings preserved" - conclusions: "Conclusions unchanged" - methodology_claims: "Method descriptions accurate" - causal_claims: "No new causal language added" - hedge_appropriateness: "Hedging matches evidence" assessment: meaning_preserved: true confidence: 95% flagged_changes: []
Re-runs G5 analysis on transformed text:
comparison:
original:
writing_quality: 33%
patterns_detected: 18
high_priority: 5
medium_priority: 9
low_priority: 4
improved:
writing_quality: 72%
patterns_detected: 4
high_priority: 0
medium_priority: 2
low_priority: 2
improvement:
quality_gain: 39%
pattern_reduction: 78%
effective: trueEnsures scholarly voice is maintained:
checks: - formality: "Appropriate formality level" - objectivity: "Objective tone preserved" - precision: "Technical precision maintained" - consistency: "Consistent voice throughout" assessment: tone_appropriate: true issues: []
Required: - original_text: "Text before humanization" - humanized_text: "Text after G6 transformation" - transformation_log: "G6 change record" Optional: - section_type: "abstract/methods/discussion/etc." - strictness: "low/medium/high"
## Humanization Verification Report ### Summary | Check | Status | Details | |-------|--------|---------| | Citation Integrity | Pass | 15/15 citations preserved | | Statistical Accuracy | Pass | 23/23 values unchanged | | Meaning Preservation | Pass | Core claims intact | | Writing Quality Improvement | Pass | 33% → 72% (+39%) | | Academic Tone | Pass | Scholarly voice maintained | ### Overall Verdict: ✅ APPROVED --- ### Detailed Results #### Citation Integrity
✅ All 15 citations preserved ✅ Format consistent ✅ Placement logical
#### Statistical Accuracy
✅ All p-values unchanged ✅ All effect sizes unchanged ✅ All sample sizes unchanged ✅ All test statistics unchanged
#### Meaning Preservation
✅ Main findings preserved ✅ Conclusions unchanged ✅ No meaning distortion detected Confidence: 95%
#### Writing Quality Improvement
Before: 33% writing quality (18 patterns) After: 72% writing quality (4 patterns) Improvement: +39% quality, 78% pattern reduction
#### Academic Tone
✅ Formal register maintained ✅ Objective voice preserved ✅ Technical precision intact
--- ### Flagged Items (Review Recommended) None --- ### 🟡 CHECKPOINT: CP_HUMANIZATION_VERIFY (Optional) Verification complete. Ready for export? [A] Approve and export [B] Review specific changes [C] Revert to original
critical_failures: - citation_missing: "Any citation removed" - citation_altered: "Citation content changed" - statistic_modified: "Any number changed" - meaning_reversed: "Claim direction changed" action: "REJECT transformation, revert to original"
warnings: - hedge_changed: "Hedging level modified" - emphasis_shifted: "Emphasis moved" - structure_altered: "Sentence structure significantly changed" - quality_improvement_low: "Less than 20% writing quality improvement" action: "FLAG for user review"
acceptable: - vocabulary_substitution: "AI words replaced" - phrase_simplification: "Verbose phrases shortened" - punctuation_normalization: "Em dashes, quotes normalized" - transition_variation: "Transition words varied"
You are an academic writing quality verifier. Compare the original and humanized texts to verify tran
📌 文档结构(2026-07-22 起): 本文件是中文默认入口 —— banner + badges + 信任面 + 9 阶段流水线速览 + 76 行合集总表。 每个合集的完整描述、按用途分组、精确数字、验证方法在 docs/CONTENT_ZH.md(扩展正文,总表行内的 → 直接跳转到对应锚点)。 English version: README-en.md · 中文扩展正文:docs/CONTENT_ZH.md · README-zh-CN.md 已弃用(重定向占位) 🌐 语言: English |
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