- name
- sci-polish
- description
- Two-stage academic paper polishing skill. Stage A reduces AI detection traces (targeting GPTZero, Turnitin, Originality.ai). Stage B performs 8-dimension quality improvement (grammar, tone, coherence, conciseness, terminology, structure, argument clarity, journal compliance). Use whenever the user asks to polish, proofread, humanize, reduce AI rate, improve writing quality, or prepare a paper for submission.
- author
- Shuo Zhao
- license
- MIT
- copyright
- © 2026 Shuo Zhao. All rights reserved.
- triggers
- ["润色论文","polish paper","reduce AI detection","降AI率","de-AI","humanize paper","academic polish","论文润色","学术改写","improve writing","proofread","降低AI率","论文降重","paper polishing","rewrite academic"]
# Sci-Polish — Academic Paper Polishing & De-AI
Two-stage academic paper polishing: AI trace reduction + 8-dimension quality improvement.
---
## Hard Rules (NEVER violate)
1. **NEVER modify:** LaTeX commands, math environments (`$...$`, `\[...\]`, `equation`, `align`, etc.), `\cite{}`, `\ref{}`, `\label{}`, algorithm blocks, code listings, figure/table environments (only caption text is editable)
2. **NEVER fabricate:** data, citations, experimental results, baselines, metrics, author names
3. **NEVER remove:** author's technical claims without explicit permission
4. **NEVER introduce:** Tier 1 AI words (see `references/word-choice-anti-ai.md`) during Phase B edits
5. **Mark as `[PENDING VERIFICATION]`:** any claim you cannot verify from the text
6. **Preserve meaning:** the exact semantic content of every technical statement must be unchanged
7. **Output format:** revised text + polish report. No preamble or trailing changelog unless user asks
8. **When uncertain about domain terminology:** keep the original, flag for user review
---
## Execution Modes
| Mode | Command | Behavior |
|------|---------|----------|
| `full` (default) | "polish this paper" | Phase A → Phase B (all 8 dimensions) |
| `deai-only` | "just reduce AI rate" / "只降AI率" | Phase A only |
| `polish-only` | "just polish, skip de-AI" / "只润色" | Phase B only (all 8 dimensions) |
| `polish-select` | "fix grammar and coherence" | Phase B, selected dimensions only |
---
## Step 0: Input Processing
1. **Identify input format:**
- PDF → extract visible text (preserve section structure)
- LaTeX → extract visible paragraphs (protect all commands)
- Markdown / plain text → use directly
2. **Identify protection zones:** math environments, citations, labels, algorithm blocks, code blocks, figure/table environments
3. **Ask target journal** (optional): affects Dimension 8 scoring. If not specified, use general academic standards.
4. **Confirm execution mode:** full / deai-only / polish-only / polish-select
---
## Step 1: Phase A — De-AI Editing
Reference files:
- `references/ai-detection-patterns.md` — pattern library for scanning
- `references/de-ai-strategies.md` — rewriting strategies
- `references/word-choice-anti-ai.md` — word replacement table
### 1.1 Scan
Scan text against `ai-detection-patterns.md`. Categorize findings:
- **High priority:** Tier 1 words, template phrases, burstiness deficit (SD < 8), RLHF fingerprints
- **Medium priority:** Tier 2 threshold violations, structural symmetry, transition stacking
- **Low priority:** Tier 3 context-dependent, punctuation fingerprints, minor style uniformity
### 1.2 Rewrite (Priority Order)
Follow the strategy priority from `de-ai-strategies.md`:
```
a. Burstiness enforcement — restructure sentence lengths (Strategy 1)
Target: SD > 8, range ≥ 20, mid-band < 50%
b. Vocabulary de-AI — replace Tier 1 words, compress template phrases (Strategy 2)
Consult word-choice-anti-ai.md for replacements
c. Sentence restructuring — vary syntax patterns (Strategy 3)
No 3+ consecutive same-structure sentences
d. Concept concretization — add specifics where available (Strategy 4)
Replace vague claims with data from the paper itself
e. Argumentation enrichment — add depth to claims (Strategy 5)
Insert boundary conditions, alternative interpretations
f. Perplexity elevation — introduce unpredictability (Strategy 6)
Unconventional openers, domain-specific minor terms
g. Style disruption — break uniformity (Strategy 7)
Vary paragraph density and register between sections
```
### 1.3 Self-Audit
After rewriting, re-scan output against `ai-detection-patterns.md`:
- Any remaining High-priority patterns? → fix them
- Burstiness check: SD > 8? Range ≥ 20? Mid-band < 50%?
- Protection zones intact? (LaTeX commands, math, citations unchanged)
- Meaning preserved? (no semantic drift from original)
---
## Step 2: Phase B — 8-Dimension Polish
Reference file: `references/polish-dimensions.md`
### 2.1 Score All Dimensions (1-5)
Rate each dimension based on the checkpoints in `polish-dimensions.md`:
1. Grammar & Syntax
2. Academic Tone
3. Coherence & Flow
4. Conciseness
5. Terminology
6. Structure & Formatting
7. Clarity of Argument
8. Journal Compliance
### 2.2 Edit Dimensions Scoring ≤ 3
Edit in this order (foundation → logic → style → format):
```
Dim 1 (Grammar) → Dim 7 (Clarity) → Dim 3 (Coherence) →
Dim 4 (Conciseness) → Dim 2 (Tone) → Dim 5 (Terminology) →
Dim 6 (Structure) → Dim 8 (Journal)
```
### 2.3 Preservation Check
During Phase B editing, verify Phase A improvements are maintained:
- Burstiness NOT reduced (sentence length variety preserved)
- No Tier 1 AI words reintroduced
- No template phrases reintroduced
- Punctuation fingerprints still clean (em dash count, etc.)
### 2.4 Re-Score
Rate edited dimensions again. Record "Before" and "After" scores for the report.
---
## Step 3: Output
### 3.1 Revised Text
Output the complete polished text with all modifications applied.
Format matches the input format (LaTeX → LaTeX, Markdown → Markdown, etc.).
### 3.2 Polish Report
Generate report using `templates/polish-report.md`:
- **Phase A summary:** Number of AI traces detected and fixed, by priority level
- **Phase B scorecard:** 8 dimensions, before/after scores, key changes per dimension
- **Top modifications:** Up to 10 most significant before/after comparisons with reasoning
- **Pending items:** Anything marked `[PENDING VERIFICATION]` or requiring user decision
---
## Section-Specific Guidance
### Abstract
- Phase A focus: Remove "In recent years", overclaiming words, template openings
- Phase B focus: Ensure all 6 elements present (context, gap, approach, insight, results, significance)
- Length: Check against venue limits (typically 150-250 words)
### Introduction
- Phase A focus: Break three-part parallel structures, remove "has attracted growing attention"
- Phase B focus: Contributions must be specific and verifiable, not vague
### Methods
- Phase A focus: Restore active subjects ("We" not passive-only), vary procedural sentence length
- Phase B focus: Every symbol defined before use, equations motivated and interpreted
### Results
- Phase A focus: Replace "clearly demonstrates" with data speaking for itself
- Phase B focus: Every claim backed by table/figure reference, statistical measures included
### Discussion
- Phase A focus: Break balanced-hedging patterns, ensure position is taken
- Phase B focus: Limitations acknowledged specifically, future work concrete
### Conclusion
- Phase A focus: Remove "In conclusion, this paper presents" opener
- Phase B focus: Brief, no methodology restatement, concrete future work
---
## Voice Calibration (Optional)
If the user provides their previously published papers:
1. Extract author writing profile (sentence length distribution, connector preferences, punctuation habits)
2. Use author's actual patterns as the target instead of generic "human-sounding" defaults
3. Note in report: "Voice calibrated against [paper title]"
This replaces generic de-AI rewrites with author-specific style matching.
---
## Usage Examples
**Full polish:**
> "请润色这篇论文" / "Polish this paper for NeurIPS submission"
**De-AI only:**
> "只帮我降AI率" / "Reduce the AI detection score, don't change anything else"
**Selective polish:**
> "只检查语法和术语一致性" / "Just fix grammar and check terminology consistency"
**With voice calibration:**
> "用我之前发的这篇论文的风格来润色" / "Polish matching my writing style from this published paper"
---
## © License
MIT License — © 2026 Shuo Zhao. All rights reserved.
This skill is part of the Aut_Sci_Write suite.
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