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 agentmods add skills/lienjack/learn-agent/translate-janpx skills add LienJack/learn-agent --skill translate-jagit clone --depth 1 https://github.com/LienJack/learn-agentWrote 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/lienjack/learn-agent/translate-ja)<a href="https://agentmods.dev/skills/lienjack/learn-agent/translate-ja"><img src="https://agentmods.dev/badge/skills/lienjack/learn-agent/translate-ja.svg" alt="Measured on agentmods" 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 | $0.00024 | $0.00651 |
| Opus 5 | $0.00012 | $0.00326 |
| Sonnet 5 | $0.00005 | $0.00130 |
| Haiku 4.5 | $0.00002 | $0.00065 |
Grade A, and why
translate-ja 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 3d 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
88% identical to translate-en — 20 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.
What it actually says
日语翻译 Skill
本 skill 只能通过显式引用本文件路径触发，不依赖全局安装、symlink 或 $skill-name 自动发现。
输入要求
- 用户应提供一个或多个中文 Markdown 文章路径，或显式提供
--pipeline claude-code-series处理系列配置。 - 如果没有文章路径且没有 pipeline 配置，先要求用户补充，不要猜测最近文件。
- V1 只支持站内日语 Markdown 与本地 assets，不负责 Zenn 发布。
执行流程
- 阅读
translate/README.md、translate/workflows/claude-code-series.md、translate/workflows/gpt-codex-cli.md和translate/prompts/ja-translation.md。 - 先运行
translate/bin/translate-ja --dry-run --pipeline claude-code-series <article.md> [...]，生成翻译计划、检查摘要和运行记录。 - 向用户展示源文章、目标路径、frontmatter 策略、链接重写策略、资产引用策略、运行记录、artifacts 路径、warnings 和 blockers。
- 如果存在 blocker，停止真实翻译，并说明需要先修复的文章或配置。
- 只有用户确认后，才运行不带
--dry-run且带--yes的真实翻译命令；真实翻译通过 GPT Codex (codex exec) 执行，可能消耗模型 API 并改写目标文件。 - 翻译完成后运行
translate/bin/translate-check --language ja --pipeline claude-code-series <target.md> [...]。 - 如果用户要公开发布，引导到
publish/skills/publish-ja/SKILL.md，不要在本 skill 中发布。
翻译规则
- frontmatter 由 pipeline 配置和本地规则控制，不交给模型自由生成。
- 正文真实翻译只使用 GPT Codex，不调用 Claude Code 或
claudeCLI。 - 模型只翻译正文；保留 Markdown 结构、代码块、路径、命令、链接和技术标识。
- 禁止输出过程话、tool call、XML、JSON 碎片、绝对本机路径噪声或翻译过程说明。
- 本地相对文章链接按 pipeline 映射改写到日语 slug。
./assets/引用按目标资产命名规则改写；Mermaid 与普通图片资产由translate-assets单独处理。
安全边界
- dry-run 不调用真实模型，不改写目标 Markdown。
- 真实翻译前必须展示摘要并等待用户确认。
- 运行记录不得保存 API key、cookie、token 或完整私密响应。
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.
- 3d ago First seen · 41 lines · 24 tokens per session scan A 5e7245e0bcaa
translate-ja is a skill published in the GitHub repository LienJack/learn-agent (23 stars, last pushed 1mo ago), licensed MIT. It adds 24 tokens to every session and 651 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to translate-en, differing in 20 lines, and is treated as a copy.
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