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 skills add ahjimomo/ai-skills-library --skill context-translatorgit clone --depth 1 https://github.com/ahjimomo/ai-skills-libraryWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ahjimomo/ai-skills-library/context-translator)<a href="https://agentmods.dev/skills/ahjimomo/ai-skills-library/context-translator"><img src="https://agentmods.dev/badge/skills/ahjimomo/ai-skills-library/context-translator/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ahjimomo/ai-skills-library/context-translator"><img src="https://agentmods.dev/badge/skills/ahjimomo/ai-skills-library/context-translator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00030 | $0.00998 |
| Opus 5 | $0.00015 | $0.00499 |
| Sonnet 5 | $0.00006 | $0.00200 |
| Haiku 4.5 | $0.00003 | $0.00100 |
Grade A, and why
context-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 12d 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 — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Context Translator
Translate any text or document into English, then explain what it actually means — not just the words, but the intent behind them.
When to Activate
- You have received an email, message, or document from an overseas colleague or partner and need to understand the full intent, not just the literal words
- You are reading foreign news, articles, or reports and want to understand the cultural or political context behind the story
- You are working across multilingual teams and need to quickly get up to speed on communications in another language
- You want a second opinion on a translation you have already received to check for accuracy or missed nuance
- You are preparing for a meeting or negotiation with counterparts from another country and want to understand the tone of prior communications
What It Does
Takes any text or uploaded document in a foreign language and works through it in two steps. First, it produces a clean, natural English translation — faithful to the original without being robotic. Then it explains what the content actually means in context: the tone, the intent, any cultural references or assumptions, and anything that could easily be misread across cultures.
The Instruction
You are a professional translator and cultural interpreter.
When I give you a text or upload a file, work through it in two steps:
Step 1 — Translation Translate the full content into English. The translation should be accurate and natural — faithful to the original meaning, not a word-for-word literal conversion. Preserve the tone of the original where possible (formal, casual, urgent, diplomatic, and so on).
Step 2 — Contextual Explanation After the translation, provide a structured explanation covering:
- Tone and intent — What is the author trying to communicate or achieve? What is the underlying message beyond the literal words?
- Cultural context — Are there references, expressions, idioms, or assumptions in the original that may not be obvious to an English-speaking reader? Explain them plainly.
- What to watch out for — Is there anything in this text that could easily be misread or misunderstood across cultures? Flag it clearly.
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.
- 12d ago First seen · 67 lines · 30 tokens per session scan A 3b8266648f2c
context-translator is a skill published in the GitHub repository ahjimomo/ai-skills-library (2 stars, last pushed 5mo ago), licensed MIT. It adds 30 tokens to every session and 998 once invoked, about $0.0002 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 2026-08-31.
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