Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/beefiker/superloopy/humanize-koreannpx skills add beefiker/superloopy --skill humanize-koreangit clone --depth 1 https://github.com/beefiker/superloopyWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/beefiker/superloopy/humanize-korean)<a href="https://agentmods.dev/skills/beefiker/superloopy/humanize-korean"><img src="https://agentmods.dev/badge/skills/beefiker/superloopy/humanize-korean.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00175 | $0.01630 |
| Opus 5 | $0.00088 | $0.00815 |
| Sonnet 5 | $0.00035 | $0.00326 |
| Haiku 4.5 | $0.00017 | $0.00163 |
Grade A, and why
humanize-korean scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Humanize Korean
SUPERLOOPY HUMANIZE KOREAN ENABLED
What This Skill Is
Use this skill as a Korean prose post-editor: it takes already-written Korean text and removes AI-like rhythm, translationese, repetitive endings, formulaic transitions, and over-polished phrasing without changing the underlying message.
Shout out to https://github.com/epoko77-ai/im-not-ai for the Korean AI-tell inspiration. This Superloopy version keeps the workflow local, adds protected-span preservation, file-backed audits, and Superloopy evidence receipts.
Comparison Examples
Use these as calibration examples for the amount of change this skill should make. The Before side is intentionally more AI-like so the repair shape is obvious: remove stock transitions, translationese, inflated significance claims, and ~인 것입니다-style endings while preserving product names and facts.
| Before | After |
|---|---|
결론적으로, Fileloom은 무료로 사용할 수 있는 파일 뷰어 앱이라고 할 수 있습니다. |
Fileloom은 무료로 사용할 수 있는 파일 뷰어 앱입니다. |
이 앱은 PDF, EPUB, DOCX, PPTX, HWP, ZIP 등 다양한 파일 포맷을 열 수 있다는 점에서 주목할 만합니다. |
이 앱은 PDF, EPUB, DOCX, PPTX, HWP, ZIP 등 다양한 파일 포맷을 열 수 있습니다. |
또한 광고 없이 제공되기 때문에 사용자는 파일을 확인하는 과정에 있어 방해 요소 없이 문서를 읽을 수 있는 것입니다. |
광고 없이 제공되기 때문에 사용자는 파일을 확인하는 과정에서 방해 요소 없이 문서를 읽을 수 있습니다. |
따라서 Superloopy는 Codex 작업을 수행함에 있어 안정성을 높여주는 도구라고 할 수 있습니다. |
Superloopy는 Codex 작업의 안정성을 높여주는 도구입니다. |
이는 계획, 검증, 증거 기록을 통해 작업의 진행 상황을 관리할 수 있다는 점에서 매우 중요한 의미를 가지고 있습니다. |
계획, 검증, 증거 기록으로 작업 진행 상황을 관리할 수 있습니다. |
These examples scored audit grade A with protected tokens preserved and a 29.43% change rate. Do not copy their product claims into unrelated text; use them only as a rewrite-shape reference.
A much larger calibration set lives in references/golden-set.md: 28 established before/after pairs plus one semantic N-1 calibration for misplaced modifier targets. Every pair is verified against the bundled audit script by test/humanize-korean-golden.test.js.
Contract
- Rewrite only Korean text.
- Preserve meaning, claims, facts, numbers, dates, URLs, code, product names, model names, acronyms, and quoted spans.
- Preserve register: formal text stays formal, conversational text stays conversational, official text stays official.
- Prefer fewer, sharper edits over broad smoothing.
- Do not add examples, metaphors, facts, citations, or marketing claims that were not in the source.
- Remove em dashes and en dashes (
—,–) from Korean prose (M-1): 줄표 is an English carryover and a strong AI tell in modern Korean writing. Restructure with 쉼표, 괄호, a colon, or a sentence split; write ranges with~. Dashes inside code spans and quoted spans stay. - N-1 — misplaced modifier target: 정확성은 시간·수치·사양·정보·식별·일치처럼 확인 가능한 대상에 붙인다. 정확한 컴퓨터/보드/펌웨어 이미지는 공급된 관계에 따라 대상 컴퓨터 확인, 보드 모델 확인, 보드와 일치하는 펌웨어로 고친다. 정확한 시간/수치/사양/정보는 보존한다. This is semantic review guidance, not an audit pattern or grade effect.
- Preserve modality (서법, upstream v2.4): a demand (
~해야 한다) stays a demand and a hedge (~일 수 있다) stays a hedge. When deontic endings dominate paragraph closings, reposition the sentence (D-6); never substitute a plain assertion. The audit counts deontic and hedge markers and warns when they decrease. - Load
references/quick-rules.mdbefore rewriting; loadreferences/golden-set.mdwhen you need more calibration pairs. - Load
references/quality-rubric.mdbefore grading or finalizing. - Use
scripts/audit-humanize-output.mjsto validate any file-backed output. - If adapting upstream rule text, respect
references/upstream-notice.md.
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 6d ago First seen · 68 lines · 175 tokens per session scan A 312ba327c293
humanize-korean is a skill published in the GitHub repository beefiker/superloopy (108 stars, last pushed today), licensed MIT. It adds 175 tokens to every session and 1,630 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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