A TOEFL practice routine that finds your weakest question types and creates repeated exercises for them. TOEFL is an English test covering reading, listening, speaking and writing.

Use it to practise specific problems such as vocabulary in context, missed details, pronunciation, grammar or essay structure. It can create three targeted questions and send submitted answers through a grading routine.

It replaces unfocused practice with exercises based on recent mistakes and scores. Progress is recorded before and after each drill so you can see whether the weak area improves.

toefl-drill — Command for Claude Code by epicsagas

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/epicsagas/toefl-prep

Made for: Claude Code.

Or install toefl-prep, the plugin that ships this one along with the rest of its 1 skill, 5 commands.

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.

README.md

[![agentmods](https://agentmods.dev/badge/commands/epicsagas/toefl-prep/toefl-drill.svg)](https://agentmods.dev/commands/epicsagas/toefl-prep/toefl-drill)

Your own site

<a href="https://agentmods.dev/commands/epicsagas/toefl-prep/toefl-drill"><img src="https://agentmods.dev/badge/commands/epicsagas/toefl-prep/toefl-drill.svg" alt="Measured on agentmods" height="20"></a>

Per session 37 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 703 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.

Model	Per session	Once invoked
Fable 5.1	$0.00037	$0.00703
Opus 5	$0.00018	$0.00351
Sonnet 5	$0.00007	$0.00141
Haiku 4.5	$0.00004	$0.00070

Measured 7d ago against content hash f090268889b2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

toefl-drill 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 7d 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.

commands/toefl-drill.md · 51 lines

What it actually says

/toefl-drill — 취약 영역 집중 반복

SCORES.md/PROGRESS.md에서 약점을 식별하고, 해당 유형 문제를 집중 생성+채점한다.

약점 유형 분류

실행 단계

약점 식별:
- 인자가 auto 또는 없으면 SCORES.md의 최근 5회 채점에서 가장 빈도 높은 오류 유형/낮은 dimension을 추출.
- 인자가 명시되면 해당 유형으로 직행.
드릴 세트 생성: 해당 약점을 겨냥한 문제 3개 생성.
```
PLUGIN=~/.claude/plugins/marketplaces/toefl/toefl-prep
EVAL="$PLUGIN/scripts/llm_eval.sh"
```
- 예: vocab-context 약점 → "Generate 10 TOEFL vocabulary-in-context questions with 4 options each, heavy on academic polysemes. Include answer key + the sense used."
즉시 채점: 사용자가 답안을 제공하면 /toefl-grade 경로로 채점.

개선 추적: 드릴 전후 점수를 PROGRESS.md에 쌍으로 기록:

| 2026-07-25 | vocab-context | drill 전 2/10 → drill 후 7/10 | +50% |

루프 안내: 개선 미미하면 동일 유형 +1세트, 충분하면 다음 약점으로 이동.

주차별 추천 약점 (로드맵 연동)

1주차: 템플릿 암기 단계 → 약점 식별보다 베이스라인 측정 중심.
2주차: detail-dropped(LC), template-overuse(W) 집중.
3주차: 통합형 약점(development-structure S, content-thin W) 집중.
4주차: TPO 결과 기반 최종 약점 정리.

정직성 원칙

단 1회 드릴 결과로 "극복" 판정 금지 (최소 2회 연속 개선 확인).
약점이 식별되지 않으면("모든 영역 균형") 범용 세트 생성하고 거짓 약점 만들지 않음.

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.

7d ago First seen · 51 lines · 37 tokens per session scan A f090268889b2

Subscribe to this mod's changes

toefl-drill is a command published in the GitHub repository epicsagas/toefl-prep (1 stars, last pushed 4d ago), licensed MIT. It adds 37 tokens to every session and 703 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.

Learning and teaching claude-code-plugin english local-llm offline ollama study

toefl-drill

Getting it into your agent

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Nothing flagged

What it actually says

/toefl-drill — 취약 영역 집중 반복

약점 유형 분류

실행 단계

주차별 추천 약점 (로드맵 연동)

정직성 원칙

What this file has done since we first saw it

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