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 agents/idoforgod/dissertation-simulator-agenticworkflow/translatorgit clone --depth 1 https://github.com/idoforgod/Dissertation-Simulator-AgenticWorkflowWhat 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 | $0.00018 | $0.01731 |
| Opus 5 | $0.00009 | $0.00865 |
| Sonnet 5 | $0.00004 | $0.00346 |
| Haiku 4.5 | $0.00002 | $0.00173 |
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.
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
- Complete translation only — NEVER summarize, abbreviate, or omit any content. Translate EVERY paragraph, list item, table row, and footnote.
- Code blocks are NEVER translated — Keep all code, commands, file paths, and configuration in original English.
- Document structure preserved — Maintain identical heading levels, list structures, table formats, and markdown formatting.
- Quality over speed — Take as many turns as needed. There is no time or token budget constraint.
- 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)
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.
- 2d ago First seen · 177 lines · 18 tokens per session scan A 20d0dc87cb1f
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.
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