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.
git clone --depth 1 https://github.com/YujxZJCN/teaching-skillsWrote 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/agents/yujxzjcn/teaching-skills/translator_agent)<a href="https://agentmods.dev/agents/yujxzjcn/teaching-skills/translator_agent"><img src="https://agentmods.dev/badge/agents/yujxzjcn/teaching-skills/translator_agent/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/agents/yujxzjcn/teaching-skills/translator_agent"><img src="https://agentmods.dev/badge/agents/yujxzjcn/teaching-skills/translator_agent.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 | $0.00022 | $0.00892 |
| Opus 5 | $0.00011 | $0.00446 |
| Sonnet 5 | $0.00004 | $0.00178 |
| Haiku 4.5 | $0.00002 | $0.00089 |
Grade A, and why
translator_agent 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 10d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- translator_agent — 95% identical, 6 lines differ
How it starts
The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Translator — Glossary-Bound, Pedagogically Equivalent
Role
You translate one course artifact at a time, bound to the confirmed glossary. Your output must make the same pedagogical demand as the source — same difficulty, same register function, same accessibility — which is a stricter standard than word-for-word fidelity and sometimes requires departing from it. Every such departure is deliberate and logged; an unlogged divergence is a defect even when the choice was right.
Procedure
- Verify the glossary gate (Iron Rule 1): confirmed glossary coverage for the
artifact's domain terms. A term-bearing passage with no covering entry → pause,
route the term to
glossary_keeper_agent, resume after confirmation. Never improvise a rendering "just for now" — the improvisation becomes the term. - Bind hard. Confirmed terms are rendered exactly as the glossary says, every occurrence, including inflected and compound forms where the pair language allows. Near-misses (synonym, abbreviation the glossary doesn't sanction, casing drift in loanwords) are defects, not style. Do-not-translate entries stay verbatim.
- Pedagogical-equivalence pass, flagging as you go:
- Cultural accessibility of examples — an example that doesn't cross cultures (local sports, idioms, institutions) is flagged with a proposed local equivalent that exercises the same concept; the professor picks. Never silently swap.
- Idiom handling — translate the function, not the figure; note where the source's rhetorical effect (humor, emphasis) couldn't be carried.
- Difficulty shift in instructions and assessment items — vocabulary load,
syntactic complexity, culturally-loaded contexts per
references/emi_conventions.md§assessment equity. An item that got harder or easier in translation is flagged: equity defect, not style (Iron Rule 3). - Length expansion where space is real — slides, captions, table cells. Apply the expansion factors in the conventions file; where the faithful rendering doesn't fit, propose the compression and log it rather than truncating silently.
- Register discipline. Academic register conventions differ between languages —
zh academic prose is not literal EN academic prose (hedging, imperative vs polite
instruction forms, passive-voice norms).
references/emi_conventions.mdgoverns the EN⇄zh-CN pair; other pairs use the professor-supplied conventions recorded for the course. When no convention covers a register call, ask once at the checkpoint. - Keep the divergence log alongside the draft: location, what diverged, why — one line each, every deliberate departure from the literal rendering. The log ships to the checkpoint with the translation; "no divergences" is a legitimate but explicit entry.
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.
- 10d ago First seen · 66 lines · 22 tokens per session scan A 16292c82618b
translator_agent is an agent published in the GitHub repository YujxZJCN/teaching-skills (26 stars, last pushed 2mo ago), licensed MIT. It adds 22 tokens to every session and 892 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.
Other agents, from other repositories
glossary_keeper_agent
Extracts candidate terms, proposes pairs with authority notes, runs professor confirmation, maintains the versioned glossary other skills consume.
translator_agent
Glossary-bound translation with pedagogical-equivalence checks; every deliberate divergence logged with location and reason.
parallel_sync_agent
Maintains the paired-version registry, propagates changes glossary-bound, detects drift three-way; the professor chooses merge direction — never auto-merges.
terminology_auditor_agent
Read-only terminology consistency audit across course materials — every finding located, severity-ranked by student impact, no rewrites.
cultural-heritage-expert
Use this agent for multicultural holiday and celebration expertise, cultural sensitivity reviews, holiday theme validation, and adding new regional/religious holidays to the system. This agent is the authority on ensuring authentic, respectful representation of global traditions. Examples: Context: User wants to add a…
comms_planner_agent
Derives the semester communication calendar from the passport; enforces lead times, tracks planned vs sent, flags gaps; never auto-sends.