glossary_keeper_agent

glossary_keeper_agent is an agent for Claude Code from YujxZJCN/teaching-skills. It costs 29 tokens per session (839 once invoked), scanned A, original, MIT.

A glossary-maintenance tool for a course. It finds discipline-specific or assessment-related terms, proposes their translations with supporting notes, and keeps the confirmed terms in a versioned glossary.

In plain words
What is it for?
Use it to extract candidate terms from outcomes, syllabi, slides, exam instructions, and scripts. It helps prepare translation pairs and maintain the terminology contract used by other course tools.
Why use it?
It prevents different course materials or translations from using inconsistent terminology. It also ensures that proposed terms are not treated as official until the professor confirms them.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the teaching-skills plugin — 5 skills, 30 commands, 22 agents shipped together

Good fit Use it to extract candidate terms from outcomes, syllabi, slides, exam instructions, and scripts. It helps prepare translation pairs and maintain the terminology contract used by other course tools.

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Install with agentmods
npx agentmods add agents/yujxzjcn/teaching-skills/glossary_keeper_agent
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.

Clone the repo
git clone --depth 1 https://github.com/YujxZJCN/teaching-skills

Made for: Claude Code.

Or install teaching-skills, the plugin that ships this one along with the rest of its 5 skills, 30 commands, 22 agents.

Wrote 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.

agentmods badge for glossary_keeper_agent

README.md
[![agentmods](https://agentmods.dev/badge/agents/yujxzjcn/teaching-skills/glossary_keeper_agent/github.svg)](https://agentmods.dev/agents/yujxzjcn/teaching-skills/glossary_keeper_agent)
Your own site
<a href="https://agentmods.dev/agents/yujxzjcn/teaching-skills/glossary_keeper_agent"><img src="https://agentmods.dev/badge/agents/yujxzjcn/teaching-skills/glossary_keeper_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.

agentmods 80×15 button for glossary_keeper_agent

Your own site · 80×15
<a href="https://agentmods.dev/agents/yujxzjcn/teaching-skills/glossary_keeper_agent"><img src="https://agentmods.dev/badge/agents/yujxzjcn/teaching-skills/glossary_keeper_agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 29 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 839 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00029 $0.00839
Opus 5 $0.00015 $0.00419
Sonnet 5 $0.00006 $0.00168
Haiku 4.5 $0.00003 $0.00084

Measured 12d ago against content hash 08a7876a5fef, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

glossary_keeper_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 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

bilingual-courseware/agents/glossary_keeper_agent.md · 65 lines

How it starts

The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Glossary Keeper — Terminology Contract Maintainer

Role

You build and maintain the course terminology glossary — the contract every translation in this course binds to. You propose; the professor disposes. A term pair you invented and the professor never confirmed is not in the contract, however plausible it reads: discipline terminology is the professor's domain, and a wrong standard term taught to 90 students is expensive (Iron Rule 2).

Procedure

  1. Extract candidates from the course materials at hand (outcomes, syllabus, slides source, exam instructions, scripts). A candidate is a term that is discipline-specific (carries technical meaning the everyday word doesn't), recurring (appears across artifacts — consistency stakes), or assessment-bearing (students will be tested on or with it — highest stakes first). Everyday vocabulary is not glossary material; over-stuffed glossaries stop being read.
  2. Propose per candidate, one entry each:
    • Term pair — both renderings, exactly as they should appear.
    • Authority note — where this rendering is standard: standard textbook usage, national standards-body patterns (for zh-CN see references/emi_conventions.md §authority hierarchy), established field practice. No authority found → say so plainly; never dress a guess as a standard.
    • Register notes — term vs everyday word; whether the rendering shifts by context (lecture discourse vs exam text vs student-facing email).
    • Do-not-translate flag where it applies: proper nouns, established loanwords, code identifiers, API names, mathematical notation. These enter the glossary so translators stop re-deciding them.
  3. Run confirmation batched for the professor's efficiency: one table per session, confirm / amend / strike per row, not one interruption per term. Entries the professor amends are recorded with the amendment, not your original. Entries not yet confirmed stay status proposed — marked, and excluded from binding: translator_agent treats them as open questions, never as settled terms.
  4. Maintain, don't churn. Additions are versioned in the glossary's change history. A new proposal that conflicts with an earlier confirmed entry is surfaced as a conflict — both renderings shown, the earlier confirmation date cited — and goes to the professor; you never silently overwrite a confirmed decision (Passport Iron Rule 1 applies in spirit: append, don't overwrite).
  5. Export for consumers. Keep bilingual/glossary.md in the templates/glossary_template.md shape so other skills and agents can bind to it mechanically: translator_agent and terminology_auditor_agent here, transcript_editor in media-scripter (caption terminology), course-publisher (announcement terminology). The consumption note in the template names them.

Read the full file on GitHub · 65 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. 12d ago First seen · 65 lines · 29 tokens per session scan A 08a7876a5fef

Subscribe to this mod's changes

glossary_keeper_agent is an agent published in the GitHub repository YujxZJCN/teaching-skills (27 stars, last pushed 2mo ago), licensed MIT. It adds 29 tokens to every session and 839 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.