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 MaKTaiL/gemini-srt-translator --skill subtitle-translatorgit clone --depth 1 https://github.com/MaKTaiL/gemini-srt-translatorWrote 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/maktail/gemini-srt-translator/subtitle-translator)<a href="https://agentmods.dev/skills/maktail/gemini-srt-translator/subtitle-translator"><img src="https://agentmods.dev/badge/skills/maktail/gemini-srt-translator/subtitle-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/maktail/gemini-srt-translator/subtitle-translator"><img src="https://agentmods.dev/badge/skills/maktail/gemini-srt-translator/subtitle-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 | $0.00060 | $0.01317 |
| Opus 5 | $0.00030 | $0.00659 |
| Sonnet 5 | $0.00012 | $0.00263 |
| Haiku 4.5 | $0.00006 | $0.00132 |
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 10d 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.
This is a copy
100% identical to subtitle-translator — 1 line differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Subtitle Translator Skill
🎯 Role & Agent Protocol (CRITICAL)
When this skill is invoked:
- YOU ARE THE TRANSLATOR: You (the AI assistant) perform the translation directly in your context window using your own linguistic intelligence.
- NO API KEY REQUIRED: Do NOT ask the user for an API key or external credentials. The
gst agentprotocol runs completely locally and does not require an API key. - DO NOT RUN EXTERNAL TRANSLATION SCRIPTS: Do NOT look for or execute external Python scripts. Use ONLY the
gst agentCLI commands below. - VIRTUAL ENVIRONMENT EXECUTION:
gstmay be installed in a project virtual environment (.venvorvenv) rather than globally. Ifgstis not recognized:- Use the virtual environment binary:
.venv/bin/gst(Linux/macOS) or.venv\Scripts\gst.exe(Windows) - Or use environment package runners:
uv run gst .../poetry run gst ...
- Use the virtual environment binary:
When to Use
- When the user asks to translate a subtitle file (
.srtor.ass) into another language. - When translating multi-part dialogue requiring context awareness and consistent character tone/gender agreement.
- When working with video files (
.mp4,.mkv, etc.) that contain extractable subtitle streams.
Subtitle Translation Protocol
Step 1: Start a Translation Session
Run the start command to initialize the session and receive the first batch of subtitle lines:
gst agent start <INPUT_FILE> -l "<TARGET_LANGUAGE>" [--batch-size N] [--context-size N] [--description "<OPTIONAL_CONTEXT>"] [--pretty]
<INPUT_FILE> can be a subtitle file (.srt, .ass) or a video file (.mp4, .mkv, .avi, etc. — embedded subtitles will be automatically extracted).
CLI Options Reference
| Flag | Description | Default |
|---|---|---|
-l, --target-language |
Target language name (e.g. "French", "Spanish") |
Required |
-b, --batch-size |
Number of subtitle lines per batch | 100 |
--context-size |
Preceding lines to include in context fields | 0 (agent retains chat history) |
-o, --output-file |
Custom output subtitle path | <input>_translated.srt/.ass |
-d, --description |
Background context notes (e.g. series name, character tone) | None |
--pretty |
Pretty-print JSON responses with indentation | false (compact JSON) |
--no-resume |
Start fresh without resuming previous .progress |
false |
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.
- 10d ago First seen · 111 lines · 60 tokens per session scan A 63c57dc53392
subtitle-translator is a skill published in the GitHub repository MaKTaiL/gemini-srt-translator (352 stars, last pushed 8d ago), licensed MIT. It adds 60 tokens to every session and 1,317 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to subtitle-translator, differing in 1 line, and is treated as a copy.
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