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 remove AI-generated markers from Finnish text, making it sound like a native Finnish speaker wrote it.
$ npx skills add github/awesome-copilot --skill finnish-humanizer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install github/awesome-copilot finnish-humanizer --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/github/awesome-copilot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/finnish-humanizer .claude/skills/finnish-humanizer && 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 "finnish-humanizer" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/finnish-humanizer into .claude/skills/finnish-humanizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "finnish-humanizer", 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/github/awesome-copilot/tree/main/skills/finnish-humanizerType 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 github/awesome-copilot --skill finnish-humanizer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install github/awesome-copilot finnish-humanizer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/finnish-humanizer .agents/skills/finnish-humanizer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "finnish-humanizer" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/finnish-humanizer into .agents/skills/finnish-humanizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "finnish-humanizer", 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 github/awesome-copilot --skill finnish-humanizer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install github/awesome-copilot finnish-humanizer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/finnish-humanizer .cursor/skills/finnish-humanizer && 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 "finnish-humanizer" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/finnish-humanizer into .cursor/skills/finnish-humanizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "finnish-humanizer", 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/github/awesome-copilot.git --path skills/finnish-humanizer--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 github/awesome-copilot --skill finnish-humanizer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install github/awesome-copilot finnish-humanizer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/finnish-humanizer .gemini/skills/finnish-humanizer && 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 "finnish-humanizer" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/finnish-humanizer into .gemini/skills/finnish-humanizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "finnish-humanizer", 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 github/awesome-copilot finnish-humanizerInstalls 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 github/awesome-copilot --skill finnish-humanizer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/finnish-humanizer .github/skills/finnish-humanizer && 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 "finnish-humanizer" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/finnish-humanizer into .github/skills/finnish-humanizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "finnish-humanizer", 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 github/awesome-copilot --skill finnish-humanizer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install github/awesome-copilot finnish-humanizer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/finnish-humanizer .opencode/skills/finnish-humanizer && 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 "finnish-humanizer" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/finnish-humanizer into .opencode/skills/finnish-humanizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "finnish-humanizer", 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.
finnish-humanizerDetect and remove AI-generated markers from Finnish text, making it sound like a native Finnish speaker wrote it.
Finnish Humanizer is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Detect and remove AI-generated markers from Finnish text, making it sound like a native Finnish speaker wrote it. Use when asked to "humanize", "naturalize", or "remove AI feel" from Finnish text, or when editing .md/.txt files containing Finnish content. Identifies 26 patterns (12 Finnish-specific + 14 universal) and 4 style markers.
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/patterns.md`).
It sits in Writing & Content, covering Humanizing AI text. The repository describes itself as: Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot. The licence is MIT.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 727ff2e. 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.
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.
Links to these hosts (documentation or services it may open):
github.comFrom 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.
Finnish Humanizer loads about 1.7k tokens when it runs, and up to ~6.1k if it reads all its reference files. Until then it costs about 89 tokens; SKILL.md has 720 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); files beside SKILL.md are not scanned.
The full file from github/awesome-copilot at commit 727ff2e, republished under its MIT licence (© github). 720 words, ~1,734 tokens.
.claude/skills/finnish-humanizer/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.<role>
Olet kirjoituseditori, joka tunnistaa ja poistaa suomenkielisen AI-tekstin tunnusmerkit. Et ole kieliopin tarkistaja, kääntäjä tai yksinkertaistaja. Tehtäväsi on tehdä tekstistä sellaista, jonka suomalainen ihminen olisi voinut kirjoittaa.
</role>
<finnish_voice> Ennen kuin korjaat yhtään patternia, sisäistä miten suomalainen kirjoittaja ajattelee.
Suoruus. Suomalainen sanoo asian ja siirtyy eteenpäin. Ei johdattelua, ei pehmentämistä, ei turhia kehyksiä. "Tämä ei toimi" on täysi lause.
Lyhyys on voimaa. Lyhyt virke ei ole laiska — se on täsmällinen. Pitkä virke on perusteltava.
Toisto on sallittu. Suomessa saman sanan käyttö kahdesti on normaalia. Englannin synonyymikierto ("utilize" → "employ" → "leverage") kuulostaa suomessa teennäiseltä.
Innostus epäilyttää. Suomalainen kirjoittaja ei huuda eikä hehkuta. Kuiva toteamus on vahvempi kuin huutomerkki. "Ihan hyvä" on kehu.
Hiljaisuus on tyylikeino. Se mitä jätetään sanomatta voi olla yhtä tärkeää kuin se mitä sanotaan. Älä täytä jokaista aukkoa selityksellä.
Partikkelit elävöittävät. -han/-hän, -pa/-pä, kyllä, vaan, nyt, sit — nämä tekevät tekstistä elävää ja luonnollista. AI jättää ne pois koska ne ovat "turhia". Ne eivät ole.
Sieluton:
Tämä on erittäin merkittävä kehitysaskel, joka tulee vaikuttamaan laajasti alan tulevaisuuteen. On syytä huomata, että kyseinen innovaatio tarjoaa lukuisia mahdollisuuksia eri sidosryhmille.
Elävä:
Iso juttu alalle. Tästä hyötyvät monet.
AI-tunnusmerkkien poistaminen ei yksin riitä — teksti tarvitsee myös persoonallisuutta.
<process>
## Prosessi
Lyhyt teksti (alle 500 sanaa): Käsittele suoraan. Palauta luonnollistettu teksti + muutosyhteenveto.
Pitkä teksti (yli 500 sanaa):
</process>
<examples>
## Esimerkkipatternit
26 AI-patternia on jaettu kahteen ryhmään: suomenkieliset (suomelle ominaiset rakenteet) ja universaalit (kaikissa kielissä esiintyvät, tunnistetaan ja korjataan suomeksi). Alla 7 kanonista esimerkkiä. Täysi 26 kategorian patternilista: ks. references/patterns.md
#1 Passiivin ylikäyttö AI käyttää passiivia kaikkialla välttääkseen tekijän nimeämistä.
Ennen: Sovellus on suunniteltu tarjoamaan käyttäjille mahdollisuus hallita omia tietojaan tehokkaasti. Jälkeen: Sovelluksella hallitset omat tietosi.
#4 Puuttuvat partikkelit AI ei käytä partikkeleita (-han/-hän, -pa/-pä, kyllä, vaan) koska ne ovat epämuodollisia. Suomessa ne ovat normaalia kirjoituskieltä.
Ennen: Tämä on totta. Kyse on kuitenkin siitä, että tilanne on monimutkainen. Jälkeen: Onhan se totta. Tilanne on vaan monimutkainen.
#5 Käännösrakenteet AI tuottaa suomea joka noudattaa englannin sanajärjestystä ja rakenteita.
Ennen: Tämän lisäksi, on tärkeää huomioida se tosiasia, että markkinat ovat muuttuneet. Jälkeen: Markkinatkin ovat muuttuneet.
#6 Genetiiviketjut Peräkkäiset genetiivimuodot kasautuvat kun AI yrittää ilmaista monimutkaisia suhteita yhdessä rakenteella.
Ennen: Tuotteen laadun parantamisen mahdollisuuksien arvioinnin tulokset osoittavat kehityspotentiaalia. Jälkeen: Arvioimme miten tuotteen laatua voisi parantaa. Kehityspotentiaalia löytyi.
#13 Merkittävyyden liioittelu AI paisuttaa kaiken "merkittäväksi", "keskeiseksi" tai "ratkaisevaksi".
Ennen: Tekoäly tulee olemaan merkittävässä ja keskeisessä roolissa tulevaisuuden ratkaisevien haasteiden ratkaisemisessa. Jälkeen: Tekoälystä tulee tärkeä työkalu moniin ongelmiin.
#15 Mielistelevä sävy AI kehuu kysyjää tai aihevalintaa. Suomessa tämä on erityisen kiusallista.
Ennen: Hyvä kysymys! Tämä on ehdottomasti yksi tärkeimmistä aiheista tällä hetkellä. Jälkeen: Aihe on ajankohtainen.
#17 Täytesanat ja -lauseet AI aloittaa tai täyttää kappaleita fraaseilla jotka eivät lisää sisältöä.
Ennen: On syytä huomata, että tässä yhteydessä on tärkeää ymmärtää alustan arkkitehtuuri ennen käyttöönottoa.
Jälkeen: Ymmärrä alustan arkkitehtuuri ennen käyttöönottoa.
</examples>
<output_format>
Kun olet luonnollistanut tekstin, palauta:
Jos käyttäjä pyytää vain tekstiä ilman selityksiä, jätä muutosyhteenveto pois. </output_format>
<constraints>
## Reunaehdot
</constraints>
© github, 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 1 other file (references) in skills/finnish-humanizer of github/awesome-copilot.
Open the folder on GitHubat commit 727ff2e
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in github/awesome-copilot, which our catalogue first saw on October 7, 2026.
Finnish Humanizer 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 |
|---|---|---|---|---|---|---|
| Finnish Humanizer this skillgithub/awesome-copilot | 40k | 1 repos | ~1.7k | Automated safety check: Pass | MIT | |
| HumanizerAzure-Samples/interview-coach-agent-framework | 172 | 37 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 | 23k | — | ~3.5k | Automated safety check: Pass | MIT | |
| Install Anti Sloptrycompai/crm | 11k | 1 repos | ~881 | Automated safety check: Pass | MIT | |
| Stop SlopXe/site | 731 | 8 repos | ~423 | Automated safety check: Pass | MIT |
Azure-Samples/interview-coach-agent-framework
Remove signs of AI-generated writing from text. An agent skill from Azure-Samples/interview-coach-agent-framework.
conorbronsdon/avoid-ai-writing
Audit and rewrite content to remove AI writing patterns ("AI-isms").
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.
trycompai/crm
Install and configure the anti-slop Oxlint plugin in a local TypeScript or JavaScript repository.
Xe/site
Remove AI writing patterns from prose. An agent skill from Xe/site.
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.
github/awesome-copilot
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github/awesome-copilot
Designs Azure infrastructure from a natural-language description, or diagrams an existing resource group, then refines the design through conversation and deploys it with Bicep.
github/awesome-copilot
Generates, edits and validates draw.io files with correct mxGraph XML, covering flowcharts, architecture, sequence, ER and UML class diagrams.
github/awesome-copilot
Cleans raw credit data and screens variables before loan modeling, dropping unstable, noisy or redundant features and writing an Excel report of every step.
github/awesome-copilot
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github/awesome-copilot
End-to-end skill for building, testing, linting, versioning, and publishing a production-grade Python library to PyPI.
Categories
Detect and remove AI-generated markers from Finnish text, making it sound like a native Finnish speaker wrote it. Finnish Humanizer is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Detect and remove AI-generated markers from Finnish text, making it sound like a native Finnish speaker wrote it.
Finnish Humanizer fits situations like: asked to humanize; remove AI feel from Finnish text; editing .md/.txt files containing Finnish content.
Run `npx skills add github/awesome-copilot --skill finnish-humanizer -a claude-code`. Or copy the skill folder (skills/finnish-humanizer in github/awesome-copilot) into .claude/skills/finnish-humanizer in your project. Claude Code loads it when a task matches its description.
Run `npx skills add github/awesome-copilot --skill finnish-humanizer -a codex`. Or copy the skill folder (skills/finnish-humanizer in github/awesome-copilot) into .agents/skills/finnish-humanizer 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 github/awesome-copilot --skill finnish-humanizer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/finnish-humanizer, .gemini/skills/finnish-humanizer, .github/skills/finnish-humanizer and .opencode/skills/finnish-humanizer in your project.
SKILL.md names no scripts, command-line tools or credentials: Finnish Humanizer is instructions for the agent only.
SKILL.md names 1 domain. As links in the text: github.com. 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. Review the folder before installing.
Finnish Humanizer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.7k tokens (SKILL.md is roughly 6.9k 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 4.3k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Finnish Humanizer: Humanizer (Azure-Samples/interview-coach-agent-framework, 172 stars), Avoid AI Writing (conorbronsdon/avoid-ai-writing, 4.9k stars), User-Facing Text Cleanup (guillaumemeyer/watermarks-remover, 23k 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.
github (a GitHub organization, an official publisher) maintains it in github/awesome-copilot, which has 39,748 GitHub stars. The repository holds 417 skills in this directory. The repository was last updated on October 7, 2026.
Source: github/awesome-copilot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.