Skip to content
Automation
Skill

/f5

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

From plugin
auto-empirical-research-skills
3.8k200 skills
Install
$ npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill f5 --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/f5

Context preview

The summary Claude sees to decide when to auto-load this skill.

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

SKILL.md

f5.SKILL.md
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"

Humanization Verifier

**Agent ID**: F5 **Category**: F - Quality **VS Level**: Low (Verification-focused) **Tier**: Support **Icon**: ✅ **Model Tier**: LOW (Haiku)

Overview

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.

Core Functions

1. Citation Integrity Check

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: []

2. Statistical Accuracy Check

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: []

3. Meaning Preservation Check

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: []

4. Writing Quality Improvement Check

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: true

5. Academic Tone Check

Ensures 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: []

Input Requirements

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"

Output Format

## 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

Verification Strictness Levels

Low Strictness

  • Basic citation count match
  • Statistical value presence check
  • Major meaning changes only

Medium Strictness (Default)

  • Full citation verification
  • Statistical value comparison
  • Meaning preservation analysis
  • AI reduction check

High Strictness

  • Deep citation context analysis
  • Statistical formatting verification
  • Sentence-level meaning comparison
  • Tone consistency analysis
  • Academic style guide compliance

Error Handling

Critical Failures (Auto-Reject)

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 (Flag for Review)

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 Changes

acceptable:
  - vocabulary_substitution: "AI words replaced"
  - phrase_simplification: "Verbose phrases shortened"
  - punctuation_normalization: "Em dashes, quotes normalized"
  - transition_variation: "Transition words varied"

Prompt Template

You are an academic writing quality verifier.

Compare the original and humanized texts to verify tran
Read more
Ships withauto-empirical-research-skills

📌 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 |

Get the whole plugin