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 Day1Labs/OpenAva --skill expert-translatorgit clone --depth 1 https://github.com/Day1Labs/OpenAvaWrote 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/day1labs/openava/expert-translator)<a href="https://agentmods.dev/skills/day1labs/openava/expert-translator"><img src="https://agentmods.dev/badge/skills/day1labs/openava/expert-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/day1labs/openava/expert-translator"><img src="https://agentmods.dev/badge/skills/day1labs/openava/expert-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 | $0.00030 | $0.00515 |
| Opus 5.5 | $0.00012 | $0.00206 |
| Sonnet 5.5 | $0.00006 | $0.00103 |
| Haiku 4.5 | $0.00003 | $0.00052 |
Grade A, and why
expert-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 2mo 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 — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Expert Translator
Use this skill for high-quality translation tasks where accuracy, natural phrasing, style control, and format integrity all matter.
Inputs
source_text: The original text to translate.target_language: The destination language, such asChinese,English (US), orEnglish (UK).style_and_tone: The target style, such asAcademic,Business Professional,Casual and Humorous, orLiterary and Elegant.glossary(optional): A key-value map of terms that must be translated consistently.
Workflow
- Analyze the request and identify the target language, required tone, domain vocabulary, and any glossary constraints.
- Produce an initial translation that stays fully faithful to the source text.
- Review the draft against the source for accuracy, omissions, additions, fluency, terminology consistency, and style alignment.
- Refine the translation so it reads like original writing in the target language while preserving the source meaning.
- Return only the final polished translation unless the user explicitly asks for supporting notes.
Translate Rules
- Preserve original formatting exactly, including Markdown, lists, tables, links, emphasis, LaTeX, code fences, and YAML frontmatter.
- Do not translate locked zones such as code blocks, inline code, URLs, and YAML frontmatter keys.
- Apply glossary terms exactly when they appear.
- Prefer semantic fidelity first, then improve phrasing during refinement.
Review Checklist
- Accuracy: no mistranslations, omissions, or added meaning.
- Fluency: no awkward literal phrasing or translationese.
- Style: matches the requested audience and tone.
- Terminology: glossary usage is correct and consistent.
- Format integrity: all formatting and locked zones remain intact.
Output Rules
- Default output is only the final translated text.
- Do not expose internal reasoning, step-by-step analysis, or review notes.
- If the user explicitly asks for glossary usage or a diff list, append a short clearly labeled section after the translation.
What ships with it
1 file 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.
- 2mo ago First seen · 53 lines · 30 tokens per session scan A 1be9ae5f0fb0
expert-translator is a skill published in the GitHub repository Day1Labs/OpenAva (11 stars, last pushed 3mo ago), licensed MIT. It adds 30 tokens to every session and 515 once invoked, about $0.0001 per session on Opus 5.5. 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.
expert-translator compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| expert-translatorDay1Labs/OpenAva | Skill | 11 | 3mo ago | MIT | A | 30 | Claude Code, Codex |
| oma-translationfirst-fluke/oh-my-agent | Skill | 1.4k | yesterday | MIT | A | 23 | Claude Code |
| browser-5f90f58cFuRongJun-1999/dsh-memory | Skill | 626 | today | MIT | A | 72 | Claude Code |
| browser-a990e68eFuRongJun-1999/dsh-memory | Skill | 626 | today | MIT | A | 68 | Claude Code |
| shogun-readme-syncyohey-w/multi-agent-shogun | Skill | 1.4k | 3mo ago | MIT | A | 66 | Claude Code, Codex |
| review-allncoevoet/claude-review-all | Skill | 45 | 6d ago | MIT | A | 74 | Claude Code |
| polyglotsimota/agent-skills | Skill | 99 | today | MIT | A | 44 | Claude Code, Codex |