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 skills add joonlab/joonlab-claudecode-setting-for-share --skill srt-ko-translatorgit clone --depth 1 https://github.com/joonlab/joonlab-claudecode-setting-for-shareWrote 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/joonlab/joonlab-claudecode-setting-for-share/srt-ko-translator)<a href="https://agentmods.dev/skills/joonlab/joonlab-claudecode-setting-for-share/srt-ko-translator"><img src="https://agentmods.dev/badge/skills/joonlab/joonlab-claudecode-setting-for-share/srt-ko-translator/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/joonlab/joonlab-claudecode-setting-for-share/srt-ko-translator"><img src="https://agentmods.dev/badge/skills/joonlab/joonlab-claudecode-setting-for-share/srt-ko-translator.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00079 | $0.00991 |
| Opus 5 | $0.00039 | $0.00495 |
| Sonnet 5 | $0.00016 | $0.00198 |
| Haiku 4.5 | $0.00008 | $0.00099 |
Grade A, and why
srt-ko-translator 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 8d 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 — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SRT Korean Translator
Overview
This skill enables Claude to translate English SRT subtitle files into natural Korean, leveraging Claude's contextual understanding for high-quality translation that preserves timing information.
When to Use This Skill
Use this skill when users request:
- "이 SRT 파일 한국어로 번역해줘"
- "영어 자막을 한국어로 번역해줘"
- "Translate this subtitle file to Korean"
- "한글 자막 만들어줘" (with an SRT file path)
Workflow
Step 1: Extract Subtitle Text
Extract text content from the English SRT file for translation:
python3 scripts/extract_subtitle_text.py "<srt_file_path>"
Output: JSON containing:
texts: Array of subtitle text strings (preprocessed and grouped into sentences)metadata.total_count: Number of subtitle entriesmetadata.processed_count: Number after preprocessing
Important: The script automatically:
- Fixes overlapping timestamps (common in auto-generated subtitles)
- Removes short duplicate subtitles (<150ms)
- Groups consecutive subtitles into sentence units for better translation context
Step 2: Translate with Claude
Translate each subtitle text to Korean with the following guidelines:
Translation Guidelines:
- Maintain natural Korean sentence structure
- Keep translations reasonably similar in length to fit subtitle timing
- Preserve technical terms appropriately (transliterate or keep original when suitable)
- Adapt idioms and cultural references for Korean audiences
- Match the original tone (formal/informal, educational/casual)
- Maintain the exact same number of entries as the input array
Output Format: Create a JSON array of translated strings:
[
"첫 번째 번역된 자막",
"두 번째 번역된 자막",
"세 번째 번역된 자막"
]
Save this to a temporary JSON file (e.g., /tmp/translated_texts.json).
Quality Checks:
- Verify the array length matches the original subtitle count
- Ensure no entries are empty (unless the original was empty)
- Check that the tone matches the original content
What ships with it
2 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.
- 8d ago First seen · 140 lines · 79 tokens per session scan A fb9656befc8b
srt-ko-translator is a skill published in the GitHub repository joonlab/joonlab-claudecode-setting-for-share (10 stars, last pushed 1mo ago), licensed MIT. It adds 79 tokens to every session and 991 once invoked, about $0.0004 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 2026-09-03.
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