User-Facing Text Cleanup
guillaumemeyer/watermarks-remover
Audits prose for invisible Unicode characters and rewrites it while keeping facts, citations, code and required disclosures unchanged and the writer's voice intact.
Two-stage academic paper polishing skill. An agent skill from ShZhao27208/Aut_Sci_Write.
$ npx skills add ShZhao27208/Aut_Sci_Write --skill sci-polish -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ShZhao27208/Aut_Sci_Write sci-polish --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ShZhao27208/Aut_Sci_Write.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/sci-polish .claude/skills/sci-polish && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "sci-polish" agent skill from https://github.com/ShZhao27208/Aut_Sci_Write/tree/main/skills/sci-polish into .claude/skills/sci-polish/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sci-polish", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ShZhao27208/Aut_Sci_Write/tree/main/skills/sci-polishType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ShZhao27208/Aut_Sci_Write --skill sci-polish -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ShZhao27208/Aut_Sci_Write sci-polish --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ShZhao27208/Aut_Sci_Write.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/sci-polish .agents/skills/sci-polish && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "sci-polish" agent skill from https://github.com/ShZhao27208/Aut_Sci_Write/tree/main/skills/sci-polish into .agents/skills/sci-polish/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sci-polish", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ShZhao27208/Aut_Sci_Write --skill sci-polish -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ShZhao27208/Aut_Sci_Write sci-polish --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ShZhao27208/Aut_Sci_Write.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/sci-polish .cursor/skills/sci-polish && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "sci-polish" agent skill from https://github.com/ShZhao27208/Aut_Sci_Write/tree/main/skills/sci-polish into .cursor/skills/sci-polish/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sci-polish", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ShZhao27208/Aut_Sci_Write.git --path skills/sci-polish--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ShZhao27208/Aut_Sci_Write --skill sci-polish -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ShZhao27208/Aut_Sci_Write sci-polish --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ShZhao27208/Aut_Sci_Write.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/sci-polish .gemini/skills/sci-polish && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "sci-polish" agent skill from https://github.com/ShZhao27208/Aut_Sci_Write/tree/main/skills/sci-polish into .gemini/skills/sci-polish/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sci-polish", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ShZhao27208/Aut_Sci_Write sci-polishInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ShZhao27208/Aut_Sci_Write --skill sci-polish -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ShZhao27208/Aut_Sci_Write.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/sci-polish .github/skills/sci-polish && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "sci-polish" agent skill from https://github.com/ShZhao27208/Aut_Sci_Write/tree/main/skills/sci-polish into .github/skills/sci-polish/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sci-polish", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ShZhao27208/Aut_Sci_Write --skill sci-polish -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ShZhao27208/Aut_Sci_Write sci-polish --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ShZhao27208/Aut_Sci_Write.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/sci-polish .opencode/skills/sci-polish && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "sci-polish" agent skill from https://github.com/ShZhao27208/Aut_Sci_Write/tree/main/skills/sci-polish into .opencode/skills/sci-polish/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sci-polish", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
sci-polishTwo-stage academic paper polishing skill. An agent skill from ShZhao27208/Aut_Sci_Write.
Sci Polish is an agent skill from ShZhao27208/Aut_Sci_Write. 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.
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 15 other files, including scripts and reference files (for example `_meta.json`, `references/ai-detection-patterns.md` and `references/de-ai-strategies.md`).
It sits in Writing & Content, covering Humanizing AI text and Copy editing and proofreading. The repository describes itself as: Academic research skills suite for AI Agent — literature search/download (WoS+Elsevier+Springer), PDF extraction, figure cropping, review writing, Zotero sync, and PPT/Html… The licence is MIT.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 357766f. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 3 files in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Sci Polish loads about 2.1k tokens when it runs, and up to ~15k if it reads all its reference files. Until then it costs about 106 tokens; SKILL.md has 808 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from ShZhao27208/Aut_Sci_Write at commit 357766f, republished under its MIT licence (© ShZhao27208). 808 words, ~2,109 tokens.
.claude/skills/sci-polish/SKILL.md (or your agent's skills folder). This skill also uses 11 other files; get the full folder from GitHub.Two-stage academic paper polishing: AI trace reduction + 8-dimension quality improvement.
$...$, \[...\], equation, align, etc.), \cite{}, \ref{}, \label{}, algorithm blocks, code listings, figure/table environments (only caption text is editable)references/word-choice-anti-ai.md) during Phase B edits[PENDING VERIFICATION]: any claim you cannot verify from the text| 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 |
Reference files:
references/ai-detection-patterns.md — pattern library for scanningreferences/de-ai-strategies.md — rewriting strategiesreferences/word-choice-anti-ai.md — word replacement tableScan text against ai-detection-patterns.md. Categorize findings:
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 sectionsAfter rewriting, re-scan output against ai-detection-patterns.md:
Reference file: references/polish-dimensions.md
Rate each dimension based on the checkpoints in polish-dimensions.md:
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)During Phase B editing, verify Phase A improvements are maintained:
Rate edited dimensions again. Record "Before" and "After" scores for the report.
Output the complete polished text with all modifications applied. Format matches the input format (LaTeX → LaTeX, Markdown → Markdown, etc.).
Generate report using templates/polish-report.md:
[PENDING VERIFICATION] or requiring user decisionIf the user provides their previously published papers:
This replaces generic de-AI rewrites with author-specific style matching.
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"
MIT License — © 2026 Shuo Zhao. All rights reserved.
This skill is part of the Aut_Sci_Write suite.
© ShZhao27208, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 11 other files (scripts, references) in skills/sci-polish of ShZhao27208/Aut_Sci_Write.
Open the folder on GitHubat commit 357766f
Sci Polish next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Sci Polish this skillShZhao27208/Aut_Sci_Write | 209 | — | ~2.1k | Automated safety check: Pass | MIT | |
| User-Facing Text Cleanupguillaumemeyer/watermarks-remover | 24k | — | ~3.5k | Automated safety check: Pass | MIT | |
| Chinese Text Humanizerop7418/Humanizer-zh | 19k | — | ~2k | Automated safety check: Pass | MIT | |
| Natural Japanese Business Writingcoji/natural-japanese | 1.9k | — | ~2.1k | Automated safety check: Pass | MIT | |
| Zero Slop Prose Editoriflytek/skillhub | 5.2k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Web Novel AI-Trace Removerzenstory-ai/oh-story-claudecode | 7.4k | 1 repos | ~2.6k | Automated safety check: Pass | MIT |
guillaumemeyer/watermarks-remover
Audits prose for invisible Unicode characters and rewrites it while keeping facts, citations, code and required disclosures unchanged and the writer's voice intact.
op7418/Humanizer-zh
Edits Chinese articles, comments and documents to remove filler, repetition and template phrasing while keeping the facts, the level of certainty and the author's voice.
coji/natural-japanese
Writes and edits Japanese business documents so they read clearly and naturally, removes AI-sounding phrasing and can score how AI-like a text reads.
iflytek/skillhub
Audits and rewrites formulaic, AI-sounding prose while keeping facts, voice and format, using a local Python scorer and inspect-only, rewrite or embedded-gate modes.
zenstory-ai/oh-story-claudecode
Rewrites AI-sounding Chinese web novel text so it reads naturally, changing as little as possible and keeping plot, names and numbers intact.
epoko77-ai/im-not-ai
Rewrites Korean text written by AI so it reads like a human wrote it, detecting translationese and other AI patterns while leaving the content untouched.
ShZhao27208/Aut_Sci_Write
Specialized workflows for drafting, refining, and responding to academic literature reviews and peer review feedback.
ShZhao27208/Aut_Sci_Write
Extracts figures and sub-figures from academic PDF papers. An agent skill from ShZhao27208/Aut_Sci_Write.
ShZhao27208/Aut_Sci_Write
Generate academic presentation-style HTML slide decks and browser reports from PDFs, structured text, Markdown, paper summaries, outlines, or research notes.
ShZhao27208/Aut_Sci_Write
Generate professional academic PowerPoint (PPTX) presentations from paper PDFs, structured outlines, or plain text.
ShZhao27208/Aut_Sci_Write
Academic paper search and metrics analysis. An agent skill from ShZhao27208/Aut_Sci_Write.
ShZhao27208/Aut_Sci_Write
Read an academic paper end to end and extract professional research insights, figures, metadata, and critique.
Categories
Two-stage academic paper polishing skill. An agent skill from ShZhao27208/Aut_Sci_Write. Sci Polish is an agent skill from ShZhao27208/Aut_Sci_Write. Two-stage academic paper polishing skill.
Sci Polish fits situations like: the user asks to polish; improve writing quality; prepare a paper for submission.
Run `npx skills add ShZhao27208/Aut_Sci_Write --skill sci-polish -a claude-code`. Or copy the skill folder (skills/sci-polish in ShZhao27208/Aut_Sci_Write) into .claude/skills/sci-polish in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ShZhao27208/Aut_Sci_Write --skill sci-polish -a codex`. Or copy the skill folder (skills/sci-polish in ShZhao27208/Aut_Sci_Write) into .agents/skills/sci-polish in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ShZhao27208/Aut_Sci_Write --skill sci-polish -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sci-polish, .gemini/skills/sci-polish, .github/skills/sci-polish and .opencode/skills/sci-polish in your project.
Going by SKILL.md and its folder, Sci Polish needs Python for the scripts in its folder. Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Sci Polish is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.1k tokens (SKILL.md is roughly 8.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 12k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Sci Polish: User-Facing Text Cleanup (guillaumemeyer/watermarks-remover, 24k stars), Chinese Text Humanizer (op7418/Humanizer-zh, 19k stars), Natural Japanese Business Writing (coji/natural-japanese, 1.9k stars) and Zero Slop Prose Editor (iflytek/skillhub, 5.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
ShZhao27208 (a GitHub user) maintains it in ShZhao27208/Aut_Sci_Write, which has 209 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on August 13, 2026.
Source: ShZhao27208/Aut_Sci_Write on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.