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Agent Skill · 研究检索

translate(翻译工具)

translate 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

translate 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 73,143。

总安装 165周安装 7GitHub Stars 1下载 58核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:translate(翻译工具)
来源仓库:https://github.com/ljt-520/openclaw-backup
仓库路径:skills/translate
安装命令:
npx skills add https://github.com/ljt-520/openclaw-backup --skill translate
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/ljt-520/openclaw-backup --skill translate

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

translate 提供跨语言文本翻译服务。适用于多语种文档阅读、沟通协作或本地化内容生成。支持主流语言互译,保持术语一致性。translate 属于研究检索类 Skill,可作为该场景下的辅助能力补充。依赖云端翻译引擎,需网络连接与合法 API 配额。敏感内容不建议直接传输,以防数据外泄。

来源仓库内路径:skills/translate

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/ljt-520/openclaw-backup --skill translate;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

translate 怎么安装?

在终端执行 npx skills add https://github.com/ljt-520/openclaw-backup --skill translate。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

translate 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

translate 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

translate 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

translate 用的人多吗?

公开数据是累计安装 165 次,近一周安装 7 次,下载 58 次,GitHub 1 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

translate 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
translate

翻译工具 · 本页

1651接触敏感数据未明确未通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Translate files using the Bluente Translation API.

Step 1: Collect user inputs

Ask the user using AskUserQuestion. IMPORTANT: Every question MUST have at least 2 options (AskUserQuestion requires min 2 options per question). Use the user's "Other" free-text option for custom input.

Ask all 4 questions in a single AskUserQuestion call:

  1. API Key — "What is your Bluente API key? (starts with sk-, get one at https://translate.bluente.com/settings/?type=apiKeys)"

- Options: "I have my key ready" (description: "I'll type it in the Other field below"), "I need to get a key" (description: "Visit https://translate.bluente.com/settings/?type=apiKeys") - The user will type their actual key in the "Other" free-text field.

  1. Source path — "What is the path to the file or folder you want to translate?"

- Options: "Current directory" (description: "Use the current working directory"), "Enter path" (description: "I'll specify a custom path in the Other field")

  1. Target language — "What language do you want to translate to?"

- Options (pick 4, use the most common): "Arabic", "French", "Spanish", "German" - The user can pick "Other" for any other language.

  1. Output path — "Where should the translated files be saved?"

- Options: "Same folder as source" (description: "Save next to the originals"), "Enter path" (description: "I'll specify a custom path in the Other field")

If the user selected "I have my key ready" but didn't type a key in "Other", ask them to provide the key in a follow-up message (don't use AskUserQuestion again for this — just ask in plain text).

Step 2: Look up the correct language code

Use this known mapping of common language codes to avoid an extra API call:

  • Arabic = ara, English = en, French = fra, Spanish = spa, German = de, Chinese = zho, Japanese = ja, Korean = ko, Portuguese = pt, Italian = it, Turkish = tr, Russian = ru, Hindi = hi

If the user picks a language NOT in this list, call the supported languages endpoint:

GET https://api.bluente.com/api/20250924/blu_translate/supported_languages
Header: Authorization: Bearer <API_KEY>

Response format: {"message": "success", "code": 0, "data": [{"name": "French", "svcCode": "fra",...},...]} Search data array for the matching language and use its svcCode.

Step 3: Detect source files

  • If the source path is a single file, translate just that file.
  • If the source path is a folder, find all translatable files in it (pdf, docx, pptx, xlsx, etc.)
  • If no translatable files found, tell the user and stop.

Step 4: Translate each file

Write and execute a single Python script that handles the entire translation workflow for all files. This avoids shell variable issues (e.g. status is read-only in zsh) and is more reliable than chaining curl commands.

The Python script should:

import requests, time, sys, os

API_KEY = "<API_KEY>"
BASE = "https://api.bluente.com/api/20250924/blu_translate"
HEADERS = {"Authorization": f"Bearer {API_KEY}"}
FILES = [<list of absolute file paths>]
FROM_LANG = "en"  # or other source language code
TO_LANG = "<target svcCode>"
OUTPUT_DIR = "<output directory>"

os.makedirs(OUTPUT_DIR, exist_ok=True)
results = []

for filepath in FILES:
    filename = os.path.basename(filepath)
    ext = filename.rsplit(".", 1)[-1].lower()
    to_type = {"pdf": "pdf", "docx": "word", "doc": "word", "pptx": "pptx"}.get(ext, ext)
    print(f"Translating: {filename}")

    # Upload
    with open(filepath, "rb") as f:
        r = requests.post(f"{BASE}/upload?glossary=0&engine=3", headers=HEADERS, files={"file": f})
    resp = r.json()
    if resp.get("code") != 0:
        print(f"  Upload failed: {resp}")
        results.append((filename, False, "Upload failed"))
        continue
    task_id = resp["data"]["id"]
    print(f"  Task ID: {task_id}")

    # Wait for processing
    for _ in range(40):
        r = requests.get(f"{BASE}/check?entry=get_status&id={task_id}", headers=HEADERS)
        st = r.json()["data"]["status"]
        if st == "SERVICE_PROCESSED":
            break
        if st == "ERROR":
            print(f"  Processing error")
            results.append((filename, False, "Processing error"))
            break
        time.sleep(3)
    else:
        results.append((filename, False, "Processing timeout"))
        continue
    if st == "ERROR":
        continue

    # Start translation
    r = requests.post(f"{BASE}/translate?engine=3", headers=HEADERS,
                      json={"id": task_id, "action": "start", "from": FROM_LANG, "to": TO_LANG})
    resp = r.json()
    if resp.get("code") != 0:
        print(f"  Translation start failed: {resp.get('message')}")
        results.append((filename, False, f"Start failed: {resp.get('message')}"))
        continue

    # Wait for translation
    for _ in range(120):
        r = requests.get(f"{BASE}/check?entry=get_status&id={task_id}", headers=HEADERS)
        st = r.json()["data"]["status"]
        if st == "READY":
            break
        if st == "ERROR":
            print(f"  Translation error")
            results.append((filename, False, "Translation error"))
            break
        time.sleep(5)
    else:
        results.append((filename, False, "Translation timeout"))
        continue
    if st == "ERROR":
        continue

    # Download
    r = requests.get(f"{BASE}/download?id={task_id}&to_type={to_type}", headers=HEADERS)
    out_path = os.path.join(OUTPUT_DIR, filename)
    with open(out_path, "wb") as f:
        f.write(r.content)
    print(f"  Saved: {out_path}")
    results.append((filename, True, out_path))

# Summary
ok = [r for r in results if r[1]]
fail = [r for r in results if not r[1]]
print(f"\nDone: {len(ok)} succeeded, {len(fail)} failed")
for name, _, path in ok:
    print(f"  OK: {name} -> {path}")
for name, _, err in fail:
    print(f"  FAIL: {name}: {err}")

Fill in the API_KEY, FILES, FROM_LANG, TO_LANG, and OUTPUT_DIR variables from the user's inputs, then run the script with python3. Set a timeout of 600000ms (10 min) on the Bash tool call.

Step 5: Report results

Tell the user:

  • How many files were translated successfully
  • Where the translated files are saved
  • Any errors that occurred

API Reference

  • Docs: https://www.bluente.com/docs
  • Base URL: https://api.bluente.com/api/20250924/blu_translate
  • Auth: Authorization: Bearer <API_KEY>
  • Engines: 3 = LLM, 4 = LLM Pro
  • Source language (from) is required — it does NOT auto-detect
  • Language codes are custom — use the mapping above or verify via supported_languages endpoint

$ARGUMENTS

平台分布

Codex

34.53%
按下载量换算20

Claude

33.06%
按下载量换算19

Cursor

19.7%
按下载量换算11

Gemini CLI

8.78%
按下载量换算5

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

未通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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