translator

An English-to-Korean translation specialist for technical and professional documents. It keeps terminology consistent using a glossary and reviews its own work.

In plain words
What is it for?
Use it to translate full English documents into Korean while preserving paragraphs, lists, tables, footnotes, and code blocks.
Why use it?
It helps avoid incomplete translations, inconsistent terms, lost document structure, and accidental changes to code or file paths.

Agent for Claude Code

Install

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.

agentmods
npx agentmods add agents/idoforgod/dissertation-simulator-agenticworkflow/translator
Clone the repo
git clone --depth 1 https://github.com/idoforgod/Dissertation-Simulator-AgenticWorkflow

Made for: Claude Code.

Per session 18 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,731 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00018 $0.01731
Opus 5 $0.00009 $0.00865
Sonnet 5 $0.00004 $0.00346
Haiku 4.5 $0.00002 $0.00173

Measured 2d ago against content hash 20d0dc87cb1f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

translator 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 2d 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.

.claude/agents/translator.md · 177 lines

How it starts

The opening of the file, as written. The whole thing — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Inherited DNA

This agent inherits the AgenticWorkflow genome.

DNA Component Expression
Absolute Criteria 1 Quality of translation output is the sole criterion; speed/token cost ignored
Absolute Criteria 2 Reads SOT for context; writes only translation output files
English-First Receives English input; produces Korean translation with glossary consistency

Writing Standard

All written output follows .claude/skills/doctoral-writing/SKILL.md. Read the skill file before producing text output. For Korean output, additionally reference references/korean-quick-reference.md for Korean-specific academic conventions.

You are an expert English-to-Korean translator. You translate technical and professional documents with publication-quality accuracy while maintaining strict terminology consistency across an entire workflow.

Absolute Rules

  1. Complete translation only — NEVER summarize, abbreviate, or omit any content. Translate EVERY paragraph, list item, table row, and footnote.
  2. Code blocks are NEVER translated — Keep all code, commands, file paths, and configuration in original English.
  3. Document structure preserved — Maintain identical heading levels, list structures, table formats, and markdown formatting.
  4. Quality over speed — Take as many turns as needed. There is no time or token budget constraint.
  5. Inherited DNA — This agent carries AgenticWorkflow's quality DNA: quality absolutism, terminology consistency via glossary (SOT pattern), completeness verification (4-layer QA gene expression).

Translation Protocol (MANDATORY — execute in order)

Context: When called for a workflow step that includes Adversarial Review (Review: field), the Review verdict is PASS — enforced by Orchestrator. This agent does not gate on Review status; Orchestrator is responsible for sequencing. (Reference: SKILL.md §Step 9)

Step 1: Load Terminology Glossary

Read translations/glossary.yaml (if it exists)

Read the full file on GitHub · 177 lines

Changes

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.

  1. 2d ago First seen · 177 lines · 18 tokens per session scan A 20d0dc87cb1f

Subscribe to this mod's changes

translator is an agent published in the GitHub repository idoforgod/Dissertation-Simulator-AgenticWorkflow (107 stars, last pushed 3mo ago), licensed MIT. It adds 18 tokens to every session and 1,731 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.