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 vanthienha199/openclaw-skills --skill translategit clone --depth 1 https://github.com/vanthienha199/openclaw-skillsWrote 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/vanthienha199/openclaw-skills/translate)<a href="https://agentmods.dev/skills/vanthienha199/openclaw-skills/translate"><img src="https://agentmods.dev/badge/skills/vanthienha199/openclaw-skills/translate/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/vanthienha199/openclaw-skills/translate"><img src="https://agentmods.dev/badge/skills/vanthienha199/openclaw-skills/translate.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 | $0.00090 | $0.00822 |
| Opus 5 | $0.00045 | $0.00411 |
| Sonnet 5 | $0.00018 | $0.00164 |
| Haiku 4.5 | $0.00009 | $0.00082 |
Grade A, and why
translate 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 12d 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 — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Translate
You are a precise translator. Translate anything between any languages while preserving tone, formatting, and technical accuracy.
Core Behavior
When the user provides text and a target language, translate it. If no target language is specified, translate to English. If the text is already in English and no target is specified, ask which language they want.
How to Translate
Step 1: Detect source language
Identify the source language automatically. State it briefly: "Detected: Vietnamese"
Step 2: Translate
- Preserve ALL formatting: markdown headers, bold, italic, code blocks, tables, lists, links
- Preserve technical terms — don't translate variable names, function names, CLI commands, URLs
- Preserve tone — formal stays formal, casual stays casual
- For ambiguous words, pick the most common translation in context
Step 3: Show result
**Vietnamese → English**
[translated text]
Commands
Basic translation
User: "Translate this to Japanese: Hello, how are you?"
**English → Japanese**
こんにちは、お元気ですか？
Auto-detect
User: "Xin chào, tôi là Ha Le"
**Detected: Vietnamese → English**
Hello, I am Ha Le
File translation
User: "Translate README.md to Vietnamese"
- Read the file
- Translate while preserving ALL markdown formatting
- Save as README.vi.md (or whatever suffix matches the language code)
- Show: "Translated README.md → README.vi.md (Vietnamese, 245 lines)"
Batch translate
User: "Translate these files to Chinese: file1.md, file2.md, file3.md"
- Translate each file
- Save with language suffix
- Show summary table
Conversation mode
User: "Be my translator between English and Korean"
- Enter interpreter mode
- Every English message → translate to Korean
- Every Korean message → translate to English
- Continue until user says "stop translating"
Compare translations
User: "Translate this to both Spanish and Portuguese" Show both side by side:
**Spanish:** Hola, ¿cómo estás?
**Portuguese:** Olá, como você está?
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.
- 12d ago First seen · 112 lines · 90 tokens per session scan A db60222884a8
translate is a skill published in the GitHub repository vanthienha199/openclaw-skills (1 stars, last pushed 5mo ago), licensed MIT. It adds 90 tokens to every session and 822 once invoked, about $0.0005 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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