Humanizer
Azure-Samples/interview-coach-agent-framework
Remove signs of AI-generated writing from text. An agent skill from Azure-Samples/interview-coach-agent-framework.
Detect and rewrite AI-like Chinese text with a practical workflow for scoring, humanization, academic AIGC reduction, and style conversion.
Install Humanize Chinese
$ npx skills add sickn33/agentic-awesome-skills --skill humanize-chinese -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sickn33/agentic-awesome-skills humanize-chinese --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/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/humanize-chinese .claude/skills/humanize-chinese && 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 "humanize-chinese" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/humanize-chinese into .claude/skills/humanize-chinese/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "humanize-chinese", 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/sickn33/agentic-awesome-skills/tree/main/skills/humanize-chineseType 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 sickn33/agentic-awesome-skills --skill humanize-chinese -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sickn33/agentic-awesome-skills humanize-chinese --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/humanize-chinese .agents/skills/humanize-chinese && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "humanize-chinese" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/humanize-chinese into .agents/skills/humanize-chinese/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "humanize-chinese", 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 sickn33/agentic-awesome-skills --skill humanize-chinese -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sickn33/agentic-awesome-skills humanize-chinese --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/humanize-chinese .cursor/skills/humanize-chinese && 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 "humanize-chinese" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/humanize-chinese into .cursor/skills/humanize-chinese/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "humanize-chinese", 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/sickn33/agentic-awesome-skills.git --path skills/humanize-chinese--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 sickn33/agentic-awesome-skills --skill humanize-chinese -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sickn33/agentic-awesome-skills humanize-chinese --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/humanize-chinese .gemini/skills/humanize-chinese && 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 "humanize-chinese" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/humanize-chinese into .gemini/skills/humanize-chinese/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "humanize-chinese", 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 sickn33/agentic-awesome-skills humanize-chineseInstalls 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 sickn33/agentic-awesome-skills --skill humanize-chinese -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/humanize-chinese .github/skills/humanize-chinese && 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 "humanize-chinese" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/humanize-chinese into .github/skills/humanize-chinese/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "humanize-chinese", 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 sickn33/agentic-awesome-skills --skill humanize-chinese -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sickn33/agentic-awesome-skills humanize-chinese --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/humanize-chinese .opencode/skills/humanize-chinese && 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 "humanize-chinese" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/humanize-chinese into .opencode/skills/humanize-chinese/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "humanize-chinese", 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
humanize-chinese- GitHub stars
- 47k
- Used in
- 2 other repos
- Token cost
- ~1.3k tokens
- SKILL.md length
- 620 words
- Files
- 1
- Skills in repo
- 1,497
- Repo updated
- First seen
- Licence
- MIT
At a glance
Detect and rewrite AI-like Chinese text with a practical workflow for scoring, humanization, academic AIGC reduction, and style conversion.
- Works in 3 steps: Detect Before Rewriting → Rewrite in the Smallest Useful Pass → Validate the Result
- The user asks to 去AI味
- SKILL.md covers When to Use, Core Workflow, Optional CLI Flow and Manual Rewrite Playbook, plus 5 more sections
- Calls python3
What it does
Humanize Chinese is an agent skill from sickn33/agentic-awesome-skills. Detect and rewrite AI-like Chinese text with a practical workflow for scoring, humanization, academic AIGC reduction, and style conversion. Use when the user asks to 去AI味, 降AIGC, 去除AI痕迹, 论文降重, 知网检测, 维普检测, humanize chinese, detect AI text, or make Chinese text sound more natural.
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Writing & Content, covering Humanizing AI text. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.
When your agent uses it
- The user asks to 去AI味
- Humanize chinese
- Make Chinese text sound more natural
Example prompts
- “/humanize-chinese”
Requirements
- Python 3
Workflow steps
3 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit b84d35a. 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
Shell commands in SKILL.md call:
python3
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
Humanize Chinese loads about 1.3k tokens when it runs. Until then it costs about 74 tokens; SKILL.md has 620 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 sickn33/agentic-awesome-skills at commit b84d35a, republished under its MIT licence (© sickn33). 620 words, ~1,297 tokens.
Download SKILL.mdSave it as
.claude/skills/humanize-chinese/SKILL.md (or your agent's skills folder).- name
- humanize-chinese
- description
- Detect and rewrite AI-like Chinese text with a practical workflow for scoring, humanization, academic AIGC reduction, and style conversion. Use when the user asks to 去AI味, 降AIGC, 去除AI痕迹, 论文降重, 知网检测, 维普检测, humanize chinese, detect AI text, or make Chinese text sound more natural.
- category
- content
- risk
- safe
- source
- community
- tags
- chinese, writing, editing, aigc, academic, style-transfer
- date_added
- 2026-04-03
Humanize Chinese
Use this skill when you need to detect AI-like Chinese writing, rewrite it to feel less synthetic, reduce AIGC signals in academic prose, or convert the text into a more specific Chinese writing style.
When to Use
- Use when the user says
去AI味,降AIGC,去除AI痕迹,让文字更自然,改成人话, or降低AI率 - Use when the user wants a Chinese text checked for AI-writing patterns or suspicious phrasing
- Use when the user wants academic-paper-specific AIGC reduction for CNKI, VIP, or Wanfang-style checks
- Use when the user wants Chinese text rewritten into a different style such as
zhihu,xiaohongshu,wechat,weibo,literary, oracademic
Core Workflow
1. Detect Before Rewriting
Start by identifying the most obvious AI markers instead of rewriting blindly:
- rigid
first/second/finallystructures - mechanical connectors such as
综上所述,值得注意的是,由此可见 - abstract grandiose wording with low information density
- repeated sentence rhythm and paragraph length
- academic prose that sounds too complete, too certain, or too template-driven
If the user provides a short sample, call out the suspicious phrases directly before rewriting.
2. Rewrite in the Smallest Useful Pass
Prefer targeted rewrites over total regeneration:
- remove formulaic connectors rather than paraphrasing every sentence
- vary sentence length and paragraph rhythm
- replace repeated verbs and noun phrases
- swap abstract summaries for concrete observations where possible
- keep the original claims, facts, citations, and terminology intact
3. Validate the Result
After rewriting, verify that the text:
- still says the same thing
- sounds less templated
- uses more natural rhythm
- does not introduce factual drift
- stays in the correct register for the target audience
For academic text, preserve a scholarly tone. Do not over-casualize.
Optional CLI Flow
If the user has a local clone of the source toolkit, these examples are useful:
python3 scripts/detect_cn.py text.txt -v
python3 scripts/compare_cn.py text.txt -a -o clean.txt
python3 scripts/academic_cn.py paper.txt -o clean.txt --compare
python3 scripts/style_cn.py text.txt --style xiaohongshu -o out.txtUse this CLI sequence when available:
- detect and inspect suspicious sentences
- rewrite or compare
- rerun detection on the cleaned file
- optionally convert into a target style
Manual Rewrite Playbook
If the scripts are unavailable, use this manual process.
Common AI Markers
- numbered or mirrored structures that feel too symmetrical
- filler transitions that add no meaning
- repeated stock phrases
- overly even sentence length
- conclusions that sound final, polished, and risk-free
Show full SKILL.md (265 more words)Show less
Rewrite Moves
- delete weak transitions first
- collapse repetitive phrases into one stronger sentence
- split sentences at natural turns instead of forcing long balanced structures
- merge choppy sentences when they feel robotic
- replace generic abstractions with concrete wording
- introduce light variation in cadence so the prose does not march at a constant tempo
Academic AIGC Reduction
For papers, reports, or theses:
- keep discipline-specific terminology unchanged
- replace AI-academic stock phrases with more grounded scholarly phrasing
- reduce absolute certainty with measured hedging where appropriate
- vary paragraph structure so each section does not read like the same template
- add limitations or uncertainty if the conclusion feels unnaturally complete
Examples of safer direction changes:
本文旨在->本文尝试or本研究关注具有重要意义->值得关注or有一定参考价值研究表明->前人研究发现or已有文献显示
Do not invent citations, evidence, or data.
Style Conversion
Use style conversion only after the base text is readable and natural.
Supported style directions from the source workflow:
casualzhihuxiaohongshuwechatacademicliteraryweibo
When switching style, keep the user's meaning stable and change only tone, structure, and surface wording.
Output Rules
- Show the main AI-like patterns you found
- Explain the rewrite strategy in 1-3 short bullets
- Return the rewritten Chinese text
- If helpful, include a short note on remaining weak spots
Source
Adapted from the voidborne-d/humanize-chinese project and its CLI/script workflow for Chinese AI-text detection and rewriting.
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
© sickn33, 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/humanize-chinese of sickn33/agentic-awesome-skills.
Open the folder on GitHubat commit b84d35a
Used in 2 other repositories
We found 8 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.
- lingxling/awesome-skills-cnantigravity-awesome-skills/skills/humanize-chineseantigravity-awesome-skills/plugins/agentic-awesome-skills/skills/humanize-chinese+1 more
- henryalouf/ruflow.agents/skills/humanize-chinesesrc/antigravity-awesome-skills/plugins/antigravity-awesome-skills/skills/humanize-chinese+1 more
Compare with similar skills
Humanize Chinese 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 |
|---|---|---|---|---|---|---|
| Humanize Chinese this skillsickn33/agentic-awesome-skills | 47k | 2 repos | ~1.3k | Automated safety check: Pass | MIT | |
| HumanizerAzure-Samples/interview-coach-agent-framework | 173 | 38 repos | ~5.8k | Automated safety check: Pass | MIT | |
| Avoid AI Writingconorbronsdon/avoid-ai-writing | 4.9k | 3 repos | ~8.1k | Automated safety check: Pass | MIT | |
| User-Facing Text Cleanupguillaumemeyer/watermarks-remover | 24k | — | ~3.5k | Automated safety check: Pass | MIT | |
| Install Anti Sloptrycompai/crm | 11k | 1 repos | ~881 | Automated safety check: Pass | MIT | |
| Stop SlopXe/site | 732 | 8 repos | ~423 | Automated safety check: Pass | MIT |
Similar skills
- Official
Avoid AI Writing
conorbronsdon/avoid-ai-writing
Audit and rewrite content to remove AI writing patterns ("AI-isms").
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.
Install Anti Slop
trycompai/crm
Install and configure the anti-slop Oxlint plugin in a local TypeScript or JavaScript repository.
Stop Slop
Xe/site
Remove AI writing patterns from prose. An agent skill from Xe/site.
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.
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Related
Categories
Questions about Humanize Chinese
What does Humanize Chinese do?
Detect and rewrite AI-like Chinese text with a practical workflow for scoring, humanization, academic AIGC reduction, and style conversion. Humanize Chinese is an agent skill from sickn33/agentic-awesome-skills. Detect and rewrite AI-like Chinese text with a practical workflow for scoring, humanization, academic AIGC reduction, and style conversion.
When should I use Humanize Chinese?
Humanize Chinese fits situations like: the user asks to 去AI味; humanize chinese; make Chinese text sound more natural.
How do I install Humanize Chinese in Claude Code?
Run `npx skills add sickn33/agentic-awesome-skills --skill humanize-chinese -a claude-code`. Or copy the skill folder (skills/humanize-chinese in sickn33/agentic-awesome-skills) into .claude/skills/humanize-chinese in your project. Claude Code loads it when a task matches its description.
How do I install Humanize Chinese in Codex?
Run `npx skills add sickn33/agentic-awesome-skills --skill humanize-chinese -a codex`. Or copy the skill folder (skills/humanize-chinese in sickn33/agentic-awesome-skills) into .agents/skills/humanize-chinese in your project. Codex loads it when a task matches its description.
Can I use Humanize Chinese 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 sickn33/agentic-awesome-skills --skill humanize-chinese -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/humanize-chinese, .gemini/skills/humanize-chinese, .github/skills/humanize-chinese and .opencode/skills/humanize-chinese in your project.
What does Humanize Chinese need to run?
Going by SKILL.md and its folder, Humanize Chinese needs the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Humanize Chinese 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 Humanize Chinese 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 Humanize Chinese use?
Humanize Chinese 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 Humanize Chinese use?
About 1.3k tokens (SKILL.md is roughly 5.2k 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 Humanize Chinese?
Skills that share tags, products or a category with Humanize Chinese: Humanizer (Azure-Samples/interview-coach-agent-framework, 173 stars), Avoid AI Writing (conorbronsdon/avoid-ai-writing, 4.9k stars), User-Facing Text Cleanup (guillaumemeyer/watermarks-remover, 24k stars) and Install Anti Slop (trycompai/crm, 11k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Humanize Chinese?
sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,405 GitHub stars. The repository holds 1,497 skills in this directory. The repository was last updated on October 9, 2026.
Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.