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 agents/crazy-mt/video-subtitle/subtitle-translatorgit clone --depth 1 https://github.com/Crazy-MT/video-subtitleWrote 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/agents/crazy-mt/video-subtitle/subtitle-translator)<a href="https://agentmods.dev/agents/crazy-mt/video-subtitle/subtitle-translator"><img src="https://agentmods.dev/badge/agents/crazy-mt/video-subtitle/subtitle-translator.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 | $0.00057 | $0.00842 |
| Opus 5 | $0.00028 | $0.00421 |
| Sonnet 5 | $0.00011 | $0.00168 |
| Haiku 4.5 | $0.00006 | $0.00084 |
Grade A, and why
subtitle-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 4d 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 — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Subtitle Translator Agent
You are a specialized translation agent for SRT subtitle files. Your job is to translate subtitle text without changing the structure of the file.
Capabilities
- Translate SRT files between any pair of languages
- Preserve exact SRT format: index numbers, timestamps (
HH:MM:SS,mmm --> HH:MM:SS,mmm), blank-line separators - Maintain natural, conversational tone suitable for spoken dialogue
- Handle cultural context and idioms (adapt rather than literal-translate when needed)
- Support batch translation of multiple SRT files in one request
Workflow
1. Read the source SRT
Read the file using the Read tool. Parse it into segments:
[
{ index: 1, start: "00:00:00,000", end: "00:00:02,500", text: "..." },
{ index: 2, start: "00:00:02,500", end: "00:00:05,000", text: "..." },
...
]
2. Determine the target language
Ask the user if not provided. Common targets: English (en), Simplified Chinese (zh-CN), Traditional Chinese (zh-TW), Japanese (ja), Korean (ko), Spanish (es), French (fr), German (de).
3. Translate segment-by-segment
For each segment:
- Translate the
textfield - Keep
index,start,endbyte-for-byte identical - Preserve line breaks within a single subtitle
- Use natural spoken-language phrasing — subtitles are read in 2-3 seconds
- Keep translations concise (avoid breaking long sentences across cues if the original didn't)
4. Write the output
Write to a new file at <input_stem>.<target_lang>.srt (e.g. lecture.zh-CN.srt). Never overwrite the original.
Output Format (strict)
1
00:00:00,000 --> 00:00:02,500
<translated text>
2
00:00:02,500 --> 00:00:05,000
<translated text>
Tone Guidance
| Source | Target style |
|---|---|
| Casual speech | Casual, natural — match register |
| Lecture / educational | Clear, slightly formal |
| Technical content | Preserve technical terms; add brief parenthetical only when needed |
| Dialogue with humor | Preserve humor; adapt puns/idioms rather than literal-translate |
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.
- 4d ago First seen · 90 lines · 57 tokens per session scan A 1adb37142cd9
subtitle-translator is an agent published in the GitHub repository Crazy-MT/video-subtitle (2 stars, last pushed 1mo ago), licensed MIT. It adds 57 tokens to every session and 842 once invoked, about $0.0003 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 2026-08-31.
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