AReaL is an infrastructure system for training large language models with reinforcement learning, connecting model training to applications built around AI agents. Researchers and developers use it to train reasoning and agentic models through asynchronous workflows, and the catalogue add-ons support working with AReaL.
Borrowing it
Nothing to install: this file belongs to areal-project/AReaL. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/areal-project/AReaL/main/.agents/skills/translate-doc-zh/SKILL.mdgit clone --depth 1 https://github.com/areal-project/AReaLWrote 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/areal-project/areal/translate-doc-zh)<a href="https://agentmods.dev/skills/areal-project/areal/translate-doc-zh"><img src="https://agentmods.dev/badge/skills/areal-project/areal/translate-doc-zh/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/areal-project/areal/translate-doc-zh"><img src="https://agentmods.dev/badge/skills/areal-project/areal/translate-doc-zh.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00027 | $0.00371 |
| Opus 5 | $0.00014 | $0.00186 |
| Sonnet 5 | $0.00005 | $0.00074 |
| Haiku 4.5 | $0.00003 | $0.00037 |
Grade A, and why
translate-doc-zh 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 13d 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.
What it actually says
Translate Docs EN to ZH
Use this skill when the user asks to translate a document from docs/en/ to docs/zh/.
Input
- A markdown file path under
docs/en/
Workflow
Step 1: Validate the source path
- Confirm the file exists.
- Confirm it is under
docs/en/. - Confirm it ends with
.md. - If any check fails, stop and ask the user for a valid
docs/en/...mdpath.
Step 2: Resolve the target path
- Source:
docs/en/<path>.md - Target:
docs/zh/<path>.md
Step 3: Choose translation mode
- If the Chinese file already exists, update only the changed parts while preserving the rest.
- If the Chinese file does not exist, translate the full document.
Translation Rules
- Preserve technical terms such as FSDP, FSDP2, GRPO, PPO, DAPO, MoE, LLM, RL, RLVR, Codex, Claude Code, OpenCode, Megatron, Archon, SGLang, vLLM, PyTorch, HuggingFace, and Transformers.
- Do not translate file paths, code blocks, CLI flags, or literal configuration keys.
- Preserve Markdown structure, tables, and fenced code blocks.
- Use concise, professional Chinese terminology.
Error Handling
- If the target directory does not exist, create it before writing the translated file.
- If the source document is partially translated already, preserve sections that do not need updates.
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.
- 13d ago First seen · 48 lines · 27 tokens per session scan A 3de94b4c2985
translate-doc-zh is a skill published in the GitHub repository areal-project/AReaL (5,749 stars, last pushed yesterday), licensed Apache-2.0. It adds 27 tokens to every session and 371 once invoked, about $0.0001 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 2026-08-30.
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