Ai Company Translation Layer 1.0.1

核心功能是作为翻译协调枢纽，根据目标语言自动路由至英/中/俄/法对应专业翻译代理，支持自动检测源语言，可指定技术/正式等翻译风格，兼具质量与安全管控。典型场景为SKILL.md文件、各类业务文档的多语种翻译需求。输入需提供源文件路径、目标语言，可选翻译风格及输出目录；输出包含处理代理ID、译文路径、质量评分等信息。

johnsmithfan

热度 20.90

最近更新 2026-04-22 16:16:53

分类：效率依赖：读写文件 / MCP 服务 / 内部调用大模型应用场景：翻译

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add ai-company-translation-layer-1-0-1

Metadata

name: ai-company-translation-layer
slug: ai-company-translation-layer
version: 1.0.1
homepage: https://clawhub.com/skills/ai-company-translation-layer
description: AI Company EXEC translation layer coordination hub. Orchestrates four specialized translation agents (EN/ZH/RU/FR) for SKILL.md and documentation files. Routes translation requests to the appropriate language agent based on target language. Owned by CMO; quality supervised by CQO; security supervised by CISO. Trigger keywords: translate skill, translate documentation, translation layer, multi-language translation, translation coordination.
license: MIT-0
tags: ["ai-company","execution-layer","translation","orchestration","coordinator","wrtr","aigc"]
triggers: ["translate skill","translate documentation","translation layer","multi-language translation","translation coordination"]
interface: {"inputs":{"type":"object","schema":{"type":"object","properties":{"source-file":{"type":"string","description":"Absolute path to source file to translate"},"target-language":{"type":"string","enum":["en","zh","ru","fr","auto"],"description":"Target language; 'auto' detects from source"},"style":{"type":"string","enum":["technical","formal","marketing","legal"],"default":"technical"},"output-dir":{"type":"string","description":"Output directory (defaults to same dir as source)"}},"required":["source-file","target-language"]}},"outputs":{"type":"object","schema":{"type":"object","properties":{"agent-assigned":{"type":"string","description":"Agent ID that handled the translation"},"output-path":{"type":"string","description":"Path to translated file"},"quality-score":{"type":"number"},"aigc-mark":{"type":"boolean"}}}}}
permissions: {"files":["read workspace","write workspace"],"network":[],"commands":[],"mcp":["sessions_send","sessions_spawn"]}
dependencies: {"skills":["ai-company-hq","ai-company-registry","ai-company-audit","ai-company-cmo","ai-company-cqo","ai-company-ciso"]}
ciso: {"risk-level":"medium","cvss-target":"<7.0","threats":["Tampering","InformationDisclosure"],"mitigations":["Path traversal rejection on all file operations","No external network calls","Audit log all routing decisions"]}
cqo: {"quality-gate":"G2","kpis":["routing-accuracy: >=99%","translation-quality: >=85%"]}
metadata: {"category":"functional","layer":"EXEC","cluster":"ai-company","maturity":"BETA","license":"MIT-0","standardized":true,"generalization-level":"L3","role":"EXEC-TR-COORD","owner":"CMO","co-owner":["CQO","CISO"],"exec-batch":4,"emoji":"🌐","os":["linux","darwin","win32"]}

AI Company EXEC Translation Layer — Coordinator (v1.0.0)

Agent Role: Execution Layer — Translation Coordination Hub (EXEC-TR-COORD)
Owner: CMO | Quality: CQO | Security: CISO
Risk Level: Medium | CVSS Target: <7.0 | Quality Gate: G2
Language: Fully English | ClawHub Schema v1.0 | Harness Engineering Compliant

1. Purpose & Scope

The Translation Layer Coordinator routes translation requests to the appropriate specialized translation agent (EXEC-TR-EN, EXEC-TR-ZH, EXEC-TR-RU, EXEC-TR-FR) based on the target language parameter.

Sub-Agents:

Agent	Target Language	Role ID	Emoji
EXEC-TR-EN	English	EXEC-TR-EN	🇬🇧
EXEC-TR-ZH	Chinese (Simplified)	EXEC-TR-ZH	🇨🇳
EXEC-TR-RU	Russian	EXEC-TR-RU	🇷🇺
EXEC-TR-FR	French	EXEC-TR-FR	🇫🇷

2. Routing Logic

Input: source-file + target-language + style + output-dir

Step 1: Validate source-file (exists, <10MB, no path traversal)
Step 2: Route to appropriate agent:
  - target-language == 'en'  → ai-company-translator-en-1.0.0
  - target-language == 'zh'  → ai-company-translator-zh-1.0.0
  - target-language == 'ru'  → ai-company-translator-ru-1.0.0
  - target-language == 'fr'  → ai-company-translator-fr-1.0.0
  - target-language == 'auto' → detect source language, route accordingly
Step 3: Delegate to target agent via sessions_spawn (isolated)
Step 4: Aggregate results, update registry
Step 5: Return consolidated output

3. Registry Entries (All 4 Agents)

agents:
  - id: EXEC-TR-EN
    name: ai-company-translator-en
    slug: ai-company-translator-en
    version: 1.0.0
    target-language: en
    emoji: "🇬🇧"
    status: active
    owner: CMO

  - id: EXEC-TR-ZH
    name: ai-company-translator-zh
    slug: ai-company-translator-zh
    version: 1.0.0
    target-language: zh
    emoji: "🇨🇳"
    status: active
    owner: CMO

  - id: EXEC-TR-RU
    name: ai-company-translator-ru
    slug: ai-company-translator-ru
    version: 1.0.0
    target-language: ru
    emoji: "🇷🇺"
    status: active
    owner: CMO

  - id: EXEC-TR-FR
    name: ai-company-translator-fr
    slug: ai-company-translator-fr
    version: 1.0.0
    target-language: fr
    emoji: "🇫🇷"
    status: active
    owner: CMO