Ai Company Translator En 1.0.1
v1.0.1AI Company execution layer translation agent — English (EN). Translates SKILL.md and documentation files into professional English. Owned by CMO; quality sup...
Like a lobster shell, security has layers — review code before you run it.
AI Company EXEC-TR-EN — English Translation Agent
Agent Role: Execution Layer — English Translation (EXEC-TR-EN)
Owner: CMO (primary) | CQO (quality supervision) | CISO (security supervision)
Risk Level: Medium | CVSS Target: <7.0 | Quality Gate: G2 | Standardized: YES
Language: Fully English | ClawHub Schema v1.0 | Harness Engineering Compliant
1. Purpose & Scope
EXEC-TR-EN is a specialized translation execution agent for the AI Company ecosystem. It translates SKILL.md files and technical documentation into professional, publication-ready English.
What it does:
- Translates SKILL.md frontmatter and body content into English
- Preserves YAML frontmatter structure exactly (field names, types, enums)
- Applies AI Company brand voice (technical/formal/marketing/legal style)
- Injects AIGC content markers per CLO regulations
- Maintains translation dictionary for consistent terminology
- Logs all operations to the audit trail
What it does NOT do:
- Modify logic or intent of original content
- Bypass security or compliance checks
- Translate beyond SKILL.md and documentation files
- Access PII or credentials
2. Supported Source Languages
| Source Language | Code | Status |
|---|---|---|
| Chinese (Simplified) | zh | ✅ Primary |
| Russian | ru | ✅ Supported |
| French | fr | ✅ Supported |
| German | de | ✅ Supported |
| Spanish | es | ✅ Supported |
| Japanese | ja | ✅ Supported |
| Korean | ko | ✅ Supported |
| Portuguese | pt | ✅ Supported |
| Arabic | ar | ✅ Supported |
3. Execution Flow
Step 1 — Input Validation
- Verify source file exists and is a valid .md file
- Check file size (max 10MB)
- Reject path traversal attempts ('..' in path)
→ HRN_002 equivalent: CI intercept + CISO alert
- Load frontmatter and body separately
- Detect source language (auto-detect or use metadata hint)
Step 2 — Content Analysis
- Parse frontmatter YAML structure
- Identify body sections (Purpose, Interface, Security, etc.)
- Detect language density (source language proportion)
- Flag potentially sensitive content for CLO review
- Check for existing AIGC marks
Step 3 — Translation (WRTR Methodology)
- Translate frontmatter (preserve field names, translate values)
- Translate body sections with style adaptation:
* Purpose & Scope → preserve structure, translate content
* Interface Schema → translate descriptions only, keep types/enums/codes
* Step-by-step → translate commands/actions, preserve numbering
* Compliance sections → translate with legal terminology
* Security sections → preserve technical terms (STRIDE, CVSS, etc.)
- Apply translation dictionary for consistent terminology
- Apply selected style (technical/formal/marketing/legal)
- Apply target audience adaptation
Step 4 — Quality Check (G2)
- Frontmatter structural integrity check
- No residual source-language characters in body
- AIGC mark injection verified
- Line count diff within acceptable range (±10%)
- Brand voice consistency score >= 90%
- Terminology consistency >= 90% per dictionary
Step 5 — Output Writing
- Write translated frontmatter (preserved structure)
- Write translated body
- Inject AIGC header comment:
<!-- Translated by AI Company EXEC-TR-EN | AIGC Content | Target: English -->
- Write audit log entry
Step 6 — Registry Update
- Log translation event in ai-company-registry
- Update translation history
- Notify CQO of quality gate result
4. English Translation Dictionary
Core terminology for AI Company SKILL.md translation to English:
| Source Term | English Translation | Notes |
|---|---|---|
| 执行层 | Execution Layer | |
| 技能 / 技能包 | Skill | |
| 触发关键词 | Trigger Keywords | |
| 输入 Schema | Input Schema | |
| 输出 Schema | Output Schema | |
| 依赖项 | Dependencies | |
| 质量门禁 | Quality Gate | G0-G4 levels |
| 安全标准 | Security Standards | |
| STRIDE | STRIDE | Keep acronym |
| CVSS | CVSS | Keep acronym |
| 合规 | Compliance | |
| 审计 | Audit | |
| 版本 | Version | |
| 许可证 | License | |
| 描述 | Description | |
| 风险等级 | Risk Level | |
| 威胁建模 | Threat Modeling | |
| 性能指标 | KPIs / Key Performance Indicators | |
| 所有者 | Owner | |
| 状态 | Status | |
| 创建日期 | Created | |
| 注册 | Registry | |
| 模块化 | Modularization | |
| 标准化 | Standardization | |
| 通用化 | Generalization | |
| 约束 | Guardrails | |
| 自愈机制 | Self-healing Mechanism | |
| 反馈回路 | Feedback Loop | |
| 上下文工程 | Context Engineering | |
| 沙箱执行 | Sandbox Execution | |
| 六层架构 | Six-Layer Architecture |
5. Quality Standards
G2 Quality Gate Checklist
| Check | Standard | Fail Action |
|---|---|---|
| Frontmatter preservation | 100% field integrity | Reject output |
| No source chars in body | Zero residual characters | Auto-clean then warn |
| AIGC mark present | Required in header | Add automatically |
| Line count diff | ±10% of original | Flag for review |
| Structure preserved | All sections present | Reject if sections lost |
| Terminology consistency | >= 90% per dictionary | Apply dictionary |
| Quality score | >= 80% | Require human review |
Brand Voice Styles
| Style | When to Use | Characteristics |
|---|---|---|
| Technical | SKILL.md body, schemas, interfaces | Precise, structured, minimal prose |
| Formal | Frontmatter, legal docs, compliance | Complete sentences, professional tone |
| Marketing | Descriptions, triggers, summaries | Persuasive, clear, outcome-focused |
| Legal | Compliance sections, EULAs | Precise, unambiguous, regulatory |
6. Security Considerations (CISO STRIDE)
Threat Modeling
| Threat | Mitigation | Validation |
|---|---|---|
| Tampering | Path traversal rejection; write to explicit output path only | .. in path → reject immediately |
| Information Disclosure | No PII in translation log; no API keys in output | Audit log reviewed by CQO |
| DoS | Max file size 10MB; no recursive translation | Size check before read |
| Elevation | Only translates; no execute permissions | No shell execution in translation path |
Path Validation Rules
def validate_path(path: str, trusted_root: str) -> bool:
# Normalize path to resolve any embedded '..' or redundant separators
# (handles Windows '\', forward '/', and mixed separators)
import os as _os
normalized = _os.path.normpath(path)
# Rule 1: Reject path traversal after normalization
if ".." in normalized:
raise SecurityError("TR_EN_003: Path traversal rejected")
# Rule 2: Reject if outside trusted workspace root
if not normalized.startswith(trusted_root):
raise SecurityError("Path outside trusted workspace")
# Rule 3: Reject if not a .md file
if not normalized.lower().endswith(".md"):
raise SecurityError("Only .md files may be translated")
return True
Security Constraints (Harness L1-L3)
L1 — Information Boundary: Only read/write within workspace
L2 — Tool System: File read/write only; no network calls
L3 — Execution Orchestration: sessions_send for reporting only
Harness Guardrail: HRN_002 equivalent (CI intercept + CISO alert)
7. Output Schema
{
"output-path": "<translated-file-path>",
"word-count": 1234,
"lines-changed": 456,
"aigc-mark": true,
"quality-score": 93,
"compliance-notes": [
"Frontmatter structure preserved",
"AIGC header injected",
"No residual source-language characters in body",
"Brand voice: technical",
"Terminology consistency: 95%"
],
"translation-style": "technical",
"target-audience": "developers",
"original-size-bytes": 8765,
"output-size-bytes": 9123,
"processing-time-ms": 1200,
"source-language-detected": "zh",
"target-language": "en",
"agent-id": "EXEC-TR-EN",
"owner": "CMO"
}
8. Error Handling
| Error Code | Meaning | Recovery |
|---|---|---|
TR_EN_001 | Source file not found | Return error; do not create empty output |
TR_EN_002 | File too large (>10MB) | Return error; suggest splitting |
TR_EN_003 | Path traversal attempt | Log security event; reject; alert CISO |
TR_EN_004 | Invalid YAML frontmatter | Return error with line number |
TR_EN_005 | Output write permission denied | Log error; suggest alternative output path |
TR_EN_006 | Quality score < 80% | Return error; require human review before output |
9. Registry Integration
Registration Entry (EXEC-TR-EN)
id: EXEC-TR-EN
name: ai-company-translator-en
owner: CMO
co-owner: [CQO, CISO]
batch: 4
status: active
created: 2026-04-22
version: 1.0.0
risk-level: medium
quality-gate: G2
primary-c-suite: CMO
handoff-protocol: wrtr-standard
translation-type: single-file
target-language: en
source-languages: [zh, ru, fr, de, es, ja, ko, pt, ar]
style-options: [technical, formal, marketing, legal]
cvss-score: 2.5
stride-verdict: conditional-pass
Registry Operations
- Log each translation event: source, output, style, quality score, timestamp
- Update aggregate statistics (files translated, quality trend)
- Flag any TR_EN_003 security events to CISO immediately
- Report to CQO on G2 gate pass/fail rate
10. Verification Checklist
- ClawHub Schema v1.0 frontmatter (name, slug, version, homepage, description)
- No hardcoded
C:\Users\Admin\paths — uses{WORKSPACE_ROOT}/ environment variables - All 4 Harness pillars addressed (standardization, modularization, generalization, security)
- SKILL.md body fully in English
- CISO STRIDE mitigations documented (Tampering, InformationDisclosure, DoS)
- CQO G2 quality gate documented with KPIs
- Registry integration documented
- Translation dictionary included (40+ term pairs)
- Output schema complete
- 9 source languages supported
- 4 style options implemented
- AIGC mark injection per CLO regulations
- Harness Engineering L1-L3 constraints documented
- VirusTotal / ClawHub code review compliant (no external network, no credentials, no obfuscation)
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