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.
文本润色打磨：七轮聚焦扫描（清晰度/语气/价值感/证据/具体性/情感/风险） + 去 AI 感改写（砍填充短语、打破公式化结构、主动语态、变化节奏）。
Install Text Polisher
$ npx skills add ZJU-REAL/Easel --skill text-polisher -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ZJU-REAL/Easel text-polisher --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/ZJU-REAL/Easel.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/openclaw/text-polisher .claude/skills/text-polisher && 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 "text-polisher" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/text-polisher into .claude/skills/text-polisher/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "text-polisher", 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/ZJU-REAL/Easel/tree/main/skills/openclaw/text-polisherType 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 ZJU-REAL/Easel --skill text-polisher -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ZJU-REAL/Easel text-polisher --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/openclaw/text-polisher .agents/skills/text-polisher && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "text-polisher" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/text-polisher into .agents/skills/text-polisher/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "text-polisher", 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 ZJU-REAL/Easel --skill text-polisher -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ZJU-REAL/Easel text-polisher --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/openclaw/text-polisher .cursor/skills/text-polisher && 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 "text-polisher" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/text-polisher into .cursor/skills/text-polisher/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "text-polisher", 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/ZJU-REAL/Easel.git --path skills/openclaw/text-polisher--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 ZJU-REAL/Easel --skill text-polisher -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ZJU-REAL/Easel text-polisher --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/openclaw/text-polisher .gemini/skills/text-polisher && 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 "text-polisher" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/text-polisher into .gemini/skills/text-polisher/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "text-polisher", 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 ZJU-REAL/Easel text-polisherInstalls 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 ZJU-REAL/Easel --skill text-polisher -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/openclaw/text-polisher .github/skills/text-polisher && 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 "text-polisher" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/text-polisher into .github/skills/text-polisher/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "text-polisher", 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 ZJU-REAL/Easel --skill text-polisher -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ZJU-REAL/Easel text-polisher --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/openclaw/text-polisher .opencode/skills/text-polisher && 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 "text-polisher" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/text-polisher into .opencode/skills/text-polisher/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "text-polisher", 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.
Facts
- Skill name
text-polisher- GitHub stars
- 3.4k
- Token cost
- ~611 tokens
- SKILL.md length
- 162 words
- Files
- 8 (incl. references)
- Skills in repo
- 114
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
文本润色打磨：七轮聚焦扫描（清晰度/语气/价值感/证据/具体性/情感/风险） + 去 AI 感改写（砍填充短语、打破公式化结构、主动语态、变化节奏）。
- Works in 4 steps: 文案目标 — 品牌认知 / 转化 / 留存 → 侧重 — 全面打磨 / 只去 AI 感 / 只改语法风格 → 语言 — 中文 / 英文 / 双语 → …
- Tasks that involve Copy editing and proofreading
- SKILL.md covers 输入, 输出, 执行步骤 and 中文特有规则, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Text Polisher is an agent skill from ZJU-REAL/Easel. 文本润色打磨：七轮聚焦扫描（清晰度/语气/价值感/证据/具体性/情感/风险） + 去 AI 感改写（砍填充短语、打破公式化结构、主动语态、变化节奏）。 当用户说"帮我改一下"、"润色"、"文案打磨"、"编辑文案"、 "去 AI 感"、"太像 AI 了"、"改自然"、"校对"、"文案优化"时使用。 合并了原 copy-editing（系统化编辑）和 stop-slop（去 AI 感）的能力。
Its SKILL.md is about 610 tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including reference files (for example `EASEL-META.md`, `references/checklist.md` and `references/content-refresh.md`).
It sits in Writing & Content, covering Copy editing and proofreading. The repository describes itself as: An open-source AI agent for social media — discover trends, create content, publish everywhere, and learn what works across Xiaohongshu, Douyin, Zhihu, Bilibili, and more.🎨一个开源的… The licence is Apache-2.0.
When your agent uses it
- Tasks that involve Copy editing and proofreading
Example prompts
- “去 AI 感”
- “太像 AI 了”
- “/text-polisher”
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- 文案目标 — 品牌认知 / 转化 / 留存
- 侧重 — 全面打磨 / 只去 AI 感 / 只改语法风格
- 语言 — 中文 / 英文 / 双语
- 证据素材 — 可用的数字、评价、案例
What it can do on your machine
Read from SKILL.md and the folder at commit 278f420. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Text Polisher loads about 611 tokens when it runs, and up to ~7.5k if it reads all its reference files. Until then it costs about 53 tokens; SKILL.md has 162 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.
Safety
Auto-check passed
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); files beside SKILL.md are not scanned.
SKILL.md
The full file from ZJU-REAL/Easel at commit 278f420, republished under its Apache-2.0 licence (© ZJU-REAL). 162 words, ~611 tokens.
Download SKILL.mdSave it as
.claude/skills/text-polisher/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.- name
- text-polisher
- description
- 文本润色打磨：七轮聚焦扫描（清晰度/语气/价值感/证据/具体性/情感/风险） + 去 AI 感改写（砍填充短语、打破公式化结构、主动语态、变化节奏）。 当用户说"帮我改一下"、"润色"、"文案打磨"、"编辑文案"、 "去 AI 感"、"太像 AI 了"、"改自然"、"校对"、"文案优化"时使用。 合并了原 copy-editing（系统化编辑）和 stop-slop（去 AI 感）的能力。
- layer
- produce
文本润色
两刀流打磨：系统化编辑提升质量 + 去 AI 感让文字像人写的。
输入
用户提供待编辑的文案文本。可选附加信息：
- 文案目标 — 品牌认知 / 转化 / 留存
- 侧重 — 全面打磨 / 只去 AI 感 / 只改语法风格
- 语言 — 中文 / 英文 / 双语
- 证据素材 — 可用的数字、评价、案例
输出
=== 修改后文案 ===
（完整修改后文本）
=== 评分 ===
| 维度 | 分数 (1-10) | 说明 |
|------|------------|------|
| 清晰度 | X | 是否直接明了？ |
| 节奏感 | X | 长短句变化？ |
| 真实感 | X | 像人写的还是 AI？ |
| 价值密度 | X | 还有可以删的吗？ |
| 语气匹配 | X | 与目标受众/品牌一致？ |
| 总分 | XX/50 | |
=== 主要修改 ===
- 修改点 1
- 修改点 2
...两道门（顺序固定，都过才交付）：
- AI 味专项自检（前置门） — 中文用
references/zh-ai-markers.md五维（直接性/节奏/信任度/活人感/精炼度），阈值 ≥45/50；不过先改到过，别急着评综合。 - 通用润色五维（综合质量门） — 上表五维，阈值 ≥35/50；不过继续改。
先过 AI 味门，再过综合门——两者量纲相同但把关维度不同，不要混用。
执行步骤
第一阶段：七轮聚焦扫描
每轮只关注一个维度，不做全面修改：
| 轮次 | 维度 | 检查什么 |
|---|---|---|
| 1 | 清晰度 | 主旨是否 5 秒内可抓取？有没有模糊语句？ |
| 2 | 语气 | 是否匹配目标受众？品牌一致性？ |
| 3 | 价值感 | 每段是否提供具体价值？能否加数字/案例？ |
| 4 | 证据 | 论点有没有支撑？数字是否准确？ |
| 5 | 具体性 | "节省时间"→"每周报告从 4 小时缩短到 15 分钟" |
| 6 | 情感 | 是否与读者建立连接？有没有共鸣点？ |
| 7 | 风险 | 是否有歧义、冒犯、法律风险？ |
第二阶段：去 AI 感改写
加载清除清单 → references/phrases-to-remove.md
加载回避结构 → references/structures-to-avoid.md
中文文本 → references/zh-ai-markers.md（中文禁用词/标点/句式/活人感，含小红书平台特化）
8 条核心规则：
- 砍填充短语 — "首先/值得注意的是/毫无疑问/在当今…" 全删
- 打破公式结构 — 不用"不是 X，而是 Y"二元对比；不用修辞设置
- 主动语态 — 每句有人在做事。不让无生命物执行人类动作
- 具体化 — 不写 "reasons are structural"，说出具体原因
- 让读者身临其境 — "你"胜过"人们"，具体胜过抽象
- 变化节奏 — 长短句交替。两项胜过三项。不用破折号
- 信任读者 — 跳过铺垫和辩护，直接陈述事实
- 砍金句 — 听起来像拉引语的句子，重写
第三阶段：自检
- 副词？删掉
- 被动语态？找动作者
- 连续三句长度相近？打断
- "here's what/这里是" 开场白？直奔主题
- 模糊声明？说出具体含义
- 破折号？删掉
中文特有规则
处理中文时，完整规则见 references/zh-ai-markers.md。速查：
- 删除"在…中"冗余结构
- "进行/开展/实施+名词" → 直接用动词
- "对于…来说" → 简化
- "不得不承认/毫无疑问/众所周知" → 删除
- "以前所未有的方式" → 说出具体方式
Profile 感知
- 有 Profile：读取 style.md 匹配创作者风格，不追求通用"像人"而是匹配个人写作习惯
- 无 Profile：改为通用专业/对话体，追求清晰、直接、自然
参考资料
references/phrases-to-remove.md— 填充短语清除清单references/structures-to-avoid.md— 公式化结构回避清单references/zh-ai-markers.md— 中文去 AI 感权威源（禁用词/标点/句式/活人感 + 小红书特化）references/checklist.md— 编辑检查清单references/content-refresh.md— 旧稿翻新策略references/plain-english-alternatives.md— 简洁替代词表
© ZJU-REAL, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 7 other files (references) in skills/openclaw/text-polisher of ZJU-REAL/Easel.
- SKILL.md
- EASEL-META.md
- references/checklist.md
- references/content-refresh.md
- references/phrases-to-remove.md
- references/plain-english-alternatives.md
- references/structures-to-avoid.md
- references/zh-ai-markers.md
Open the folder on GitHubat commit 278f420
Compare with similar skills
Text Polisher 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 |
|---|---|---|---|---|---|---|
| Text Polisher this skillZJU-REAL/Easel | 3.4k | — | ~611 | Automated safety check: Pass | Apache-2.0 | |
| User-Facing Text Cleanupguillaumemeyer/watermarks-remover | 24k | — | ~3.5k | Automated safety check: Pass | MIT | |
| Story Multi-Perspective Reviewzenstory-ai/oh-story-claudecode | 7.4k | 3 repos | ~3k | Automated safety check: Pass | MIT | |
| Chinese Text Humanizerop7418/Humanizer-zh | 19k | — | ~2k | Automated safety check: Pass | MIT | |
| Baoyu TranslateJimLiu/baoyu-skills | 27k | 1 repos | ~3.9k | Automated safety check: Pass | MIT | |
| Natural Japanese Business Writingcoji/natural-japanese | 1.9k | — | ~2.1k | Automated safety check: Pass | MIT |
Similar skills
Story Multi-Perspective Review
zenstory-ai/oh-story-claudecode
Reviews Chinese web-novel text with several reviewer agents in parallel, falling back to a single-agent pass, and reports structure, character, prose and setting problems with fixes.
Chinese Text Humanizer
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.
Baoyu Translate
JimLiu/baoyu-skills
Translates articles and files in quick, normal or refined mode, with a custom glossary, saved preferences and a review-and-polish workflow for publication quality.
Natural Japanese Business Writing
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.
Defensive Writing Editor
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Cuts defensive disclaimers, stacked hedging and self-protective narration from proposals and summaries, keeping only limits that affect the reader's decision.
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Categories
Questions about Text Polisher
What does Text Polisher do?
文本润色打磨：七轮聚焦扫描（清晰度/语气/价值感/证据/具体性/情感/风险） + 去 AI 感改写（砍填充短语、打破公式化结构、主动语态、变化节奏）。. Text Polisher is an agent skill from ZJU-REAL/Easel.
When should I use Text Polisher?
Text Polisher fits situations like: tasks that involve Copy editing and proofreading.
How do I install Text Polisher in Claude Code?
Run `npx skills add ZJU-REAL/Easel --skill text-polisher -a claude-code`. Or copy the skill folder (skills/openclaw/text-polisher in ZJU-REAL/Easel) into .claude/skills/text-polisher in your project. Claude Code loads it when a task matches its description.
How do I install Text Polisher in Codex?
Run `npx skills add ZJU-REAL/Easel --skill text-polisher -a codex`. Or copy the skill folder (skills/openclaw/text-polisher in ZJU-REAL/Easel) into .agents/skills/text-polisher in your project. Codex loads it when a task matches its description.
Can I use Text Polisher in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ZJU-REAL/Easel --skill text-polisher -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/text-polisher, .gemini/skills/text-polisher, .github/skills/text-polisher and .opencode/skills/text-polisher in your project.
What does Text Polisher need to run?
SKILL.md names no scripts, command-line tools or credentials: Text Polisher is instructions for the agent only.
Does Text Polisher access the network?
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.
Is Text Polisher safe to install?
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. Review the folder before installing.
What licence does Text Polisher use?
Text Polisher is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Text Polisher use?
About 611 tokens (SKILL.md is roughly 2.4k 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 6.9k tokens, read only when the agent opens those files.
What are the alternatives to Text Polisher?
Skills that share tags, products or a category with Text Polisher: User-Facing Text Cleanup (guillaumemeyer/watermarks-remover, 24k stars), Story Multi-Perspective Review (zenstory-ai/oh-story-claudecode, 7.4k stars), Chinese Text Humanizer (op7418/Humanizer-zh, 19k stars) and Baoyu Translate (JimLiu/baoyu-skills, 27k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Text Polisher?
ZJU-REAL (a GitHub organization) maintains it in ZJU-REAL/Easel, which has 3,376 GitHub stars. The repository holds 114 skills in this directory. The repository was last updated on October 9, 2026.
Source: ZJU-REAL/Easel on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.