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 guanyang/open-agent-hub --skill baoyu-translategit clone --depth 1 https://github.com/guanyang/open-agent-hubWrote 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/guanyang/open-agent-hub/baoyu-translate)<a href="https://agentmods.dev/skills/guanyang/open-agent-hub/baoyu-translate"><img src="https://agentmods.dev/badge/skills/guanyang/open-agent-hub/baoyu-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/guanyang/open-agent-hub/baoyu-translate"><img src="https://agentmods.dev/badge/skills/guanyang/open-agent-hub/baoyu-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 | $0.00121 | $0.03648 |
| Opus 5.5 | $0.00048 | $0.01459 |
| Sonnet 5.5 | $0.00024 | $0.00730 |
| Haiku 4.5 | $0.00012 | $0.00365 |
Grade A, and why
baoyu-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 1mo 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 baoyu-translate — 0 lines 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 — 269 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Translator
Three-mode translation skill: quick for direct translation, normal for analysis-informed translation, refined for full publication-quality workflow with review and polish.
User Input Tools
When this skill prompts the user, follow this tool-selection rule (priority order):
- Prefer built-in user-input tools exposed by the current agent runtime — e.g.,
AskUserQuestion,request_user_input,clarify,ask_user, or any equivalent. - Fallback: if no such tool exists, emit a numbered plain-text message and ask the user to reply with the chosen number/answer for each question.
- Batching: if the tool supports multiple questions per call, combine all applicable questions into a single call; if only single-question, ask them one at a time in priority order.
Concrete AskUserQuestion references below are examples — substitute the local equivalent in other runtimes.
Script Directory
Scripts in scripts/ subdirectory. {baseDir} = this SKILL.md's directory path. Resolve ${BUN_X} runtime: if bun installed → bun; if npx available → npx -y bun; else suggest installing bun. Replace {baseDir} and ${BUN_X} with actual values.
| Script | Purpose |
|---|---|
scripts/main.ts |
CLI entry point. Default action splits markdown into chunks; also supports explicit chunk subcommand |
scripts/chunk.ts |
Markdown chunking implementation used by main.ts and kept compatible for direct invocation |
Preferences (EXTEND.md)
Check EXTEND.md in priority order — the first one found wins:
| Priority | Path | Scope |
|---|---|---|
| 1 | .baoyu-skills/baoyu-translate/EXTEND.md |
Project |
| 2 | ${XDG_CONFIG_HOME:-$HOME/.config}/baoyu-skills/baoyu-translate/EXTEND.md |
XDG |
| 3 | $HOME/.baoyu-skills/baoyu-translate/EXTEND.md |
User home |
| Result | Action |
|---|---|
| Found | Read, parse, apply. On first use in session, briefly remind: "Using preferences from [path]. You can edit EXTEND.md to customize glossary, audience, etc." |
| Not found | MUST run first-time setup (see below) — do NOT silently use defaults |
What ships with it
10 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.
- references/config/extend-schema.md 3.4 KB
- references/config/first-time-setup.md 4.4 KB
- references/glossary-en-zh.md 927 B
- references/refined-workflow.md 5.9 KB
- references/subagent-prompt-template.md 3.4 KB
- references/workflow-mechanics.md 812 B
- scripts/bun.lock 1.4 KB
- scripts/chunk.ts 8.2 KB runs code
- scripts/main.ts 1.4 KB runs code
- scripts/package.json 110 B
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.
- 1mo ago First seen · 269 lines · 121 tokens per session scan A 772f7170a61f
baoyu-translate is a skill published in the GitHub repository guanyang/open-agent-hub (981 stars, last pushed yesterday), licensed MIT. It adds 121 tokens to every session and 3,648 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to baoyu-translate, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
write
Rewrites and polishes Chinese or English prose, technical instructions, and product copy. Use when drafting, editing, localizing, or cutting AI tone. Not for code comments or commit messages.
tongues
Tongues is universal translation across languages, formats, and protocols. It can mean English to Spanish, JSON to XML, REST to GraphQL, Python to JavaScript, or one team's business vocabulary to another team's schema. The spell is not just about swapping tokens. It is about preserving meaning while crossing into a…
ai-voice-design
Concevez et générez des voix IA pour vos vidéos en utilisant ElevenLabs ou Qwen3-TTS, avec clonage vocal, design par description, et synchronisation lip-sync. Use when: Créer une voix de marque - Définir le ton vocal pour une campagne; Cloner une voix existante - Reproduire une voix avec autorisation; Designer une…
voice-localization
Scale your brand voice across multiple languages using AI voice synthesis, maintaining consistent character and quality for global content. Use when: Expanding video content to new language markets; Creating multilingual courses or training; Localizing ads and marketing videos; Dubbing existing content for…
chinese-documentation
A Chinese technical-documentation style guide covering spacing, punctuation, numbers, terminology, and links when Chinese and English appear together.
learn
Runs a six-phase research workflow from source bundle to publish-ready output. Use when researching an unfamiliar domain or compiling materials into one reference. Not for quick lookups or single-file reads.