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.
Scans copy for signs of AI-generated writing and returns a report quoting each hit in text order; it diagnoses by default and guides rewriting only on request.
SKILL.md written in Chinese; this summary is our English description.
Install AI Writing Trait Checker
$ npx skills add dontbesilent2025/dbskill --skill dbs-ai-check -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install dontbesilent2025/dbskill dbs-ai-check --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/dontbesilent2025/dbskill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/dbs-ai-check .claude/skills/dbs-ai-check && 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 "dbs-ai-check" agent skill from https://github.com/dontbesilent2025/dbskill/tree/main/skills/dbs-ai-check into .claude/skills/dbs-ai-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dbs-ai-check", 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/dontbesilent2025/dbskill/tree/main/skills/dbs-ai-checkType 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 dontbesilent2025/dbskill --skill dbs-ai-check -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install dontbesilent2025/dbskill dbs-ai-check --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dontbesilent2025/dbskill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/dbs-ai-check .agents/skills/dbs-ai-check && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "dbs-ai-check" agent skill from https://github.com/dontbesilent2025/dbskill/tree/main/skills/dbs-ai-check into .agents/skills/dbs-ai-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dbs-ai-check", 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 dontbesilent2025/dbskill --skill dbs-ai-check -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install dontbesilent2025/dbskill dbs-ai-check --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dontbesilent2025/dbskill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/dbs-ai-check .cursor/skills/dbs-ai-check && 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 "dbs-ai-check" agent skill from https://github.com/dontbesilent2025/dbskill/tree/main/skills/dbs-ai-check into .cursor/skills/dbs-ai-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dbs-ai-check", 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/dontbesilent2025/dbskill.git --path skills/dbs-ai-check--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 dontbesilent2025/dbskill --skill dbs-ai-check -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install dontbesilent2025/dbskill dbs-ai-check --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dontbesilent2025/dbskill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/dbs-ai-check .gemini/skills/dbs-ai-check && 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 "dbs-ai-check" agent skill from https://github.com/dontbesilent2025/dbskill/tree/main/skills/dbs-ai-check into .gemini/skills/dbs-ai-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dbs-ai-check", 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 dontbesilent2025/dbskill dbs-ai-checkInstalls 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 dontbesilent2025/dbskill --skill dbs-ai-check -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/dontbesilent2025/dbskill.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/dbs-ai-check .github/skills/dbs-ai-check && 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 "dbs-ai-check" agent skill from https://github.com/dontbesilent2025/dbskill/tree/main/skills/dbs-ai-check into .github/skills/dbs-ai-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dbs-ai-check", 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 dontbesilent2025/dbskill --skill dbs-ai-check -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install dontbesilent2025/dbskill dbs-ai-check --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dontbesilent2025/dbskill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/dbs-ai-check .opencode/skills/dbs-ai-check && 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 "dbs-ai-check" agent skill from https://github.com/dontbesilent2025/dbskill/tree/main/skills/dbs-ai-check into .opencode/skills/dbs-ai-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dbs-ai-check", 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
dbs-ai-check- GitHub stars
- 11k
- Token cost
- ~1.2k tokens
- SKILL.md length
- 327 words
- Files
- 2
- Skills in repo
- 37
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Scans copy for signs of AI-generated writing and returns a report quoting each hit in text order; it diagnoses by default and guides rewriting only on request.
- Works in 4 steps: 按命中特征的严重度从高到低，逐条追问 → 每条只问一个问题，等用户回答 → 用户回答后，给出修改方向（不是修改结果） → …
- Checking a draft for machine-like patterns before publishing it
- SKILL.md covers 核心哲学, 识别模式（默认）, 改写引导模式（用户说「我想改」后触发） and 误伤警告, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
The skill is written in Chinese and takes a stance: it exists to help you see which traits in your text look machine-made, not to disguise the text as human. Its core idea is that AI prose tends to be too perfect, too smooth and too even, with no rough edges or points the author has not worked out. By default it only identifies and never rewrites.
Given a draft, it checks 22 traits one by one, such as blocking every possible objection, evenly paced parallel lists, a reused concession template, naming concepts as a ritual, an emotional curve that is too smooth, no hesitation anywhere, a punchy closing line in every paragraph and sentences of near-identical length. The report follows the text order, quotes the original passage for each hit, grades it as a strong, medium or weak signal, and says plainly when a text shows few signs.
If you then say you want to change the text, it switches to guided mode. For each hit, starting from the most severe, it asks one question about the intent behind the trait and waits, then offers a direction rather than a finished rewrite, and writes concrete changes only when you ask and in line with your answers. It warns that short-video scripts with a punchline per paragraph are a genre habit, so it asks about genre first.
When your agent uses it
- Checking a draft for machine-like patterns before publishing it
- Getting a quoted, passage-by-passage report on AI traits in a text
- Working out your own phrasing after a draft has been flagged
Example prompts
- “Check this article draft for AI writing traits and give me the report only.”
- “Scan the product launch post below and show which passages look machine-written.”
- “I want to rewrite the flagged parts. Ask me about the first hit.”
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- 按命中特征的严重度从高到低，逐条追问
- 每条只问一个问题，等用户回答
- 用户回答后，给出修改方向（不是修改结果）
- 如果用户回答之后明确说「帮我改」，可以基于用户的回答给出具体改法。改法必须体现用户回答中的偏好
What it can do on your machine
Read from SKILL.md and the folder at commit 8d3ed39. 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
AI Writing Trait Checker loads about 1.2k tokens when it runs. Until then it costs about 18 tokens; SKILL.md has 327 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
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 327 words (~1,175 tokens).
“你是 dontbesilent 的 AI 写作特征检测工具。你的任务是帮用户看清自己的文字里有哪些 AI 生成的痕迹。”
- name
- dbs-ai-check
Files
SKILL.md and 1 other file in skills/dbs-ai-check of dontbesilent2025/dbskill.
- SKILL.md
- agents/openai.yaml
Open the folder on GitHubat commit 8d3ed39
Compare with similar skills
AI Writing Trait Checker 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 |
|---|---|---|---|---|---|---|
| AI Writing Trait Checker this skilldontbesilent2025/dbskill | 11k | — | ~1.2k | Automated safety check: Pass | Custom licence | |
| 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 |
Similar skills
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.
Natural Japanese Business Writing
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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.
Zero Slop Prose Editor
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.
Web Novel AI-Trace Remover
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.
Korean AI-Text Humanizer
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.
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Related
Categories
Questions about AI Writing Trait Checker
What does AI Writing Trait Checker do?
Scans copy for signs of AI-generated writing and returns a report quoting each hit in text order; it diagnoses by default and guides rewriting only on request. The skill is written in Chinese and takes a stance: it exists to help you see which traits in your text look machine-made, not to disguise the text as human. Its core idea is that AI prose tends to be too perfect, too smooth and too even, with no rough edges or points the author has not worked out.
When should I use AI Writing Trait Checker?
AI Writing Trait Checker fits situations like: checking a draft for machine-like patterns before publishing it; getting a quoted, passage-by-passage report on AI traits in a text; working out your own phrasing after a draft has been flagged.
How do I install AI Writing Trait Checker in Claude Code?
Run `npx skills add dontbesilent2025/dbskill --skill dbs-ai-check -a claude-code`. Or copy the skill folder (skills/dbs-ai-check in dontbesilent2025/dbskill) into .claude/skills/dbs-ai-check in your project. Claude Code loads it when a task matches its description.
How do I install AI Writing Trait Checker in Codex?
Run `npx skills add dontbesilent2025/dbskill --skill dbs-ai-check -a codex`. Or copy the skill folder (skills/dbs-ai-check in dontbesilent2025/dbskill) into .agents/skills/dbs-ai-check in your project. Codex loads it when a task matches its description.
Can I use AI Writing Trait Checker 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 dontbesilent2025/dbskill --skill dbs-ai-check -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dbs-ai-check, .gemini/skills/dbs-ai-check, .github/skills/dbs-ai-check and .opencode/skills/dbs-ai-check in your project.
What does AI Writing Trait Checker need to run?
SKILL.md names no scripts, command-line tools or credentials: AI Writing Trait Checker is instructions for the agent only.
Does AI Writing Trait Checker 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 AI Writing Trait Checker 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 AI Writing Trait Checker use?
AI Writing Trait Checker has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does AI Writing Trait Checker use?
About 1.2k tokens (SKILL.md is roughly 4.7k 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 AI Writing Trait Checker?
Skills that share tags, products or a category with AI Writing Trait Checker: 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 AI Writing Trait Checker?
dontbesilent2025 (a GitHub user) maintains it in dontbesilent2025/dbskill, which has 10,589 GitHub stars. The repository holds 37 skills in this directory. The repository was last updated on October 10, 2026.
Source: dontbesilent2025/dbskill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.