Agent skill

Stamp Out GPT-isms

by makoMakoGo in makoMakoGo/fish-claude

Strips GPT-5.4 verbal tics from AI-written text and keeps them out of new READMEs, specs and proposals, with detailed rules for Chinese writing.

MITAuto-check passedWriting & Content

Install Stamp Out GPT-isms

skills CLI
$ npx skills add makoMakoGo/fish-claude --skill gpt-isms-stamp-out -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install makoMakoGo/fish-claude gpt-isms-stamp-out --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/makoMakoGo/fish-claude.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/gpt-isms-stamp-out .claude/skills/gpt-isms-stamp-out && rm -rf skills-src

Use ~/.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/

Facts

Skill name
gpt-isms-stamp-out
GitHub stars
171
Token cost
~1.5k tokens
SKILL.md length
667 words
Files
1
Skills in repo
2
Repo updated
First seen
Licence
MIT

At a glance

Strips GPT-5.4 verbal tics from AI-written text and keeps them out of new READMEs, specs and proposals, with detailed rules for Chinese writing.

  • Works in 5 steps: Read the target file(s) → Scan line by line against all detection… → For each hit: report the tic, category,… → …
  • Cleaning an AI-written document before sharing it
  • SKILL.md covers When to Apply, Detection Rules — Chinese (ZH), Detection Rules — English (EN) and Workflow, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

The skill applies when you ask to clean up AI-sounding text, and also when the agent is about to write a document itself. Its Chinese detection rules are grouped into six levels of tics that must go: structural patterns such as the not-A-but-B contrast and overused ba sentences, filler phrases and numbered transition chains, flattery, internet corporate jargon, false certainty, and stylistic habits.

Each rule comes with before and after examples. Typical fixes are to drop an unsolicited closing offer of more help, state the second half of a false contrast directly, remove parenthetical notes from headings, cut announcement-style openers, use bold or italics instead of quotation marks for emphasis, and replace absolute claims with proportional confidence.

When your agent uses it

  • Cleaning an AI-written document before sharing it
  • Writing a README, spec or proposal without GPT-style filler
  • Removing flattery and closing offers from a draft
  • Checking Chinese text for overused AI phrasing

Example prompts

  • “De-GPT this project proposal before I send it to the client.”
  • “Clean up the AI voice in docs/overview.md and remove the filler phrases.”
  • “Write the README for the export module and avoid GPT-style tics.”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Read the target file(s)
  2. Scan line by line against all detection rules above
  3. For each hit: report the tic, category, and suggested fix
  4. Apply fixes (Edit tool) — one category at a time, starting from Level 1 structural tics
  5. After all fixes: re-read the document, verify no new tics introduced, report before/after stats

What it can do on your machine

Read from SKILL.md and the folder at commit d487f05. 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

Stamp Out GPT-isms loads about 1.5k tokens when it runs. Until then it costs about 71 tokens; SKILL.md has 667 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~71
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k

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 makoMakoGo/fish-claude at commit d487f05, republished under its MIT licence (© makoMakoGo). 667 words, ~1,507 tokens.

Download SKILL.mdSave it as .claude/skills/gpt-isms-stamp-out/SKILL.md (or your agent's skills folder).
name
gpt-isms-stamp-out
description
Strip GPT-5.4 verbal tics from text. Use when user asks to de-GPT a document, remove AI-isms, stamp out GPT tics, or clean up AI-written text. Also use proactively when creating documents (README, docs, proposals, specs) to avoid GPT-5.4 tic patterns in the output.

GPT-Isms Stamp Out

Remove GPT-5.4 verbal tics from text. Apply these rules when editing or creating documents.

When to Apply

  • User explicitly asks: "去 GPT 味", "去掉 AI 口癖", "de-GPT this", "stamp out GPT-isms", "clean up the AI voice"
  • User asks to create a document — apply rules proactively to avoid tics in output
  • User provides AI-generated text for cleanup

Detection Rules — Chinese (ZH)

Level 1: Must Remove — Structural Tics

「不是……而是……」句式 GPT-5.4 abuses this to manufacture faux cognitive contrast. Rewrite as direct statement.

❌ "能把她拉出来的不是道理,而是一个能让情绪重新对上的节拍"
✅ "节拍和旋律——而非道理——才能把她拉出来"  (or just state B directly)

Rule: When the "negated A" is not a real viewpoint anyone holds, delete the negation and state B directly.

「把」字句泛滥 GPT-5.4 overuses 把-construction far beyond natural Chinese frequency.

❌ "GPT 把把字句使用得很多"
✅ "GPT 高频使用把字句"

结尾主动推销 Never end with unsolicited offers for follow-up.

❌ "如果你需要,我可以……" / "需要我……吗?" / "下一步,我可以……" / "只要你回复我"
✅ [Just stop. No trailing offer.]
Level 2: Must Remove — Filler Phrases
TicFix
"简单的说" / "简单来说"Delete or use "简言之" sparingly
"总结一下" / "一句话总结"Delete; just state the conclusion
"结论先说清楚"Delete
"我逐步说清楚"Delete
"我来解释"Delete
"换句话说"Delete or use "即"
"从某种角度来说"Delete
"值得注意的是" / "值得一提的是"Delete; if truly notable, let content speak
"综上所述" / "总而言之"Delete
"首先……其次……最后……"Restructure to avoid numbered-transition chain
Level 3: Must Remove — Sycophancy
❌ "你问到问题的核心" / "你太清醒了" / "你说的太对了"
❌ "我会稳稳地接住你" / "我就在这里,不躲不藏,随时接住你"
❌ "你只是太久没被人接住了"
✅ [Delete entirely. No flattery, no pseudo-empathy.]
Level 4: Must Remove — Internet Corporate Jargon
TicFix
兜底"保底" or rephrase
落盘"确认" / "定下来"
闭环"完整流程" or rephrase
说穿Delete
口径"说法" / "表述"
拆开 / 抽层 / 收口 / 压实Rephrase in plain language
顺一下 / 补一个 / 拉起Rephrase
砍一刀 / 补一刀 / 切 / 狠狠干Delete violent metaphor
Level 5: Must Remove — False Certainty
❌ "我已经确定" / "我找到问题所在" / "这版一定可以解决"
✅ "当前分析显示……" / "这个方案……" (proportional confidence)
Level 6: Must Remove — Structural & Stylistic

标题括号注释

❌ "## 架构设计(非常易懂)" / "## 快速开始(可以跳过)"
✅ "## 架构设计" / "## 快速开始"

开头宣告句式

❌ "我会为你……" / "下面给出一份……"
✅ Just start the content.

滥用双引号做强调 — Use bold or italics for emphasis, not quotation marks.

思维链外露 — Remove self-talk like "这个地方你可以……" / "这里需要说明的是……"

编造简称 — "二改" / "根掉" → spell out or use standard terms.

搭配蹩脚 / 词性混用 — Flag and rephrase: "对环境要求很宽" → "对环境要求宽松"

音律坏 — Single-character words disrupting rhythm: flag and suggest multi-character alternatives.

中译中啰嗦 — If a sentence can be halved without losing meaning, halve it.

Level 7: Overused Vocabulary
TicReplacement
非常 / 十分 / 极其Delete; let the adjective stand alone
至关重要"关键" or delete
不可忽视Delete
深入探讨"讨论" / "分析"
赋能"支持" / "帮助"
落地"实施" / "执行"

Detection Rules — English (EN)

Apply when document is in English or mixed-language.

Structural
TicFix
"It's not X, it's Y" / "Not X, but Y"State Y directly unless X is a real, named viewpoint
"That's a great question!"Delete
"I completely understand…"Delete
"Let me walk you through step by step"Just do it; don't announce it
"Would you like me to…" / "Let me know if…" / "Shall I…"Delete; end at conclusion
"In conclusion…" / "Ultimately…"Delete
Show full SKILL.md (273 more words)Show less
Vocabulary
TicReplacement
delveexplore / dig into / discuss
tapestrymix / combination / fabric
nuancedsubtle / fine-grained (or delete)
multifacetedcomplex / many-sided
landscapefield / area / scene
robuststrong / solid / reliable
pivotalkey / central
paramountcritical / vital
transformativebig-change / overhaul (or be specific)
holisticcomprehensive / full
leverageuse / tap into
fosterbuild / grow / encourage
paradigmmodel / framework
Furthermore / MoreoverDelete or use "And" / "Also"
It's important to note thatDelete; just state the point
It's worth mentioning thatDelete
Em-dash Overuse

Limit to at most one em-dash per paragraph. Replace extras with period, semicolon, or parenthesis.

Workflow

Mode A: Clean Existing Document
  1. Read the target file(s)
  2. Scan line by line against all detection rules above
  3. For each hit: report the tic, category, and suggested fix
  4. Apply fixes (Edit tool) — one category at a time, starting from Level 1 structural tics
  5. After all fixes: re-read the document, verify no new tics introduced, report before/after stats
Mode B: Create New Document (Proactive)
  1. When user asks to create a doc, apply all rules above during composition
  2. Before writing each section, mentally check against the tic list
  3. After writing: run a self-scan pass (Mode A step 2-4)
  4. Report: "Written with GPT-isms stamped out. [N] tics avoided."

Reporting

After cleanup, report:

GPT-isms stamped out: [N] tics removed
- Structural (不是…而是…): [N]
- Filler phrases: [N]
- Sycophancy: [N]
- Corporate jargon: [N]
- Vocabulary: [N]
- Other: [N]

Edge Cases

  • Quoted text: Do not modify content inside blockquotes or verbatim quotes — those belong to the quoted source
  • Code blocks: Never modify content inside code fences
  • Deliberate style: If user explicitly wants a specific tic pattern kept (e.g., marketing copy using "赋能"), respect it
  • Mixed language docs: Apply both ZH and EN rules; prioritize the primary language of each section

© makoMakoGo, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/gpt-isms-stamp-out of makoMakoGo/fish-claude.

Open the folder on GitHubat commit d487f05

Compare with similar skills

Stamp Out GPT-isms 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.

Stamp Out GPT-isms compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Stamp Out GPT-isms this skillmakoMakoGo/fish-claude171—~1.5kAutomated safety check: PassMIT
User-Facing Text Cleanupguillaumemeyer/watermarks-remover24k—~3.5kAutomated safety check: PassMIT
Chinese Text Humanizerop7418/Humanizer-zh19k—~2kAutomated safety check: PassMIT
Natural Japanese Business Writingcoji/natural-japanese1.9k—~2.1kAutomated safety check: PassMIT
Zero Slop Prose Editoriflytek/skillhub5.2k—~1.5kAutomated safety check: PassMIT
Web Novel AI-Trace Removerzenstory-ai/oh-story-claudecode7.4k1 repos~2.6kAutomated safety check: PassMIT

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Questions about Stamp Out GPT-isms

What does Stamp Out GPT-isms do?

Strips GPT-5.4 verbal tics from AI-written text and keeps them out of new READMEs, specs and proposals, with detailed rules for Chinese writing. The skill applies when you ask to clean up AI-sounding text, and also when the agent is about to write a document itself. Its Chinese detection rules are grouped into six levels of tics that must go: structural patterns such as the not-A-but-B contrast and overused ba sentences, filler phrases and numbered transition chains, flattery, internet corporate jargon, false certainty, and stylistic habits.

When should I use Stamp Out GPT-isms?

Stamp Out GPT-isms fits situations like: cleaning an AI-written document before sharing it; writing a README, spec or proposal without GPT-style filler; removing flattery and closing offers from a draft; checking Chinese text for overused AI phrasing.

How do I install Stamp Out GPT-isms in Claude Code?

Run `npx skills add makoMakoGo/fish-claude --skill gpt-isms-stamp-out -a claude-code`. Or copy the skill folder (skills/gpt-isms-stamp-out in makoMakoGo/fish-claude) into .claude/skills/gpt-isms-stamp-out in your project. Claude Code loads it when a task matches its description.

How do I install Stamp Out GPT-isms in Codex?

Run `npx skills add makoMakoGo/fish-claude --skill gpt-isms-stamp-out -a codex`. Or copy the skill folder (skills/gpt-isms-stamp-out in makoMakoGo/fish-claude) into .agents/skills/gpt-isms-stamp-out in your project. Codex loads it when a task matches its description.

Can I use Stamp Out GPT-isms 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 makoMakoGo/fish-claude --skill gpt-isms-stamp-out -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/gpt-isms-stamp-out, .gemini/skills/gpt-isms-stamp-out, .github/skills/gpt-isms-stamp-out and .opencode/skills/gpt-isms-stamp-out in your project.

What does Stamp Out GPT-isms need to run?

SKILL.md names no scripts, command-line tools or credentials: Stamp Out GPT-isms is instructions for the agent only.

Does Stamp Out GPT-isms 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 Stamp Out GPT-isms 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 Stamp Out GPT-isms use?

Stamp Out GPT-isms is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Stamp Out GPT-isms use?

About 1.5k tokens (SKILL.md is roughly 6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Stamp Out GPT-isms?

Skills that share tags, products or a category with Stamp Out GPT-isms: 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.

Who maintains Stamp Out GPT-isms?

makoMakoGo (a GitHub user) maintains it in makoMakoGo/fish-claude, which has 171 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on July 17, 2026.

Source: makoMakoGo/fish-claude on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.