--- 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.