listening-trainer

listening-trainer is a skill for Claude Code from OleksiiDotsenko/english-exam-coach. It costs 118 tokens per session (1,659 once invoked), scanned C, original, MIT.

A practice tool for English listening exams that creates original recordings or scripts and related questions. It can use text-to-speech, which means software reads the script aloud, when available.

In plain words
What is it for?
Use it to practise IELTS, TOEFL iBT, or Cambridge listening tasks, answer questions about conversations and talks, and work from a supplied audio file or transcript.
Why use it?
It provides exam-shaped listening practice while keeping the questions, timing, and difficulty aligned with the selected test.

Skill for Claude Code

Written for Claude Code: ${CLAUDE_PLUGIN_ROOT} variable.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the english-exam-coach plugin — 8 skills, 6 commands shipped together

Good fit Use it to practise IELTS, TOEFL iBT, or Cambridge listening tasks, answer questions about conversations and talks, and work from a supplied audio file or transcript.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add OleksiiDotsenko/english-exam-coach
Claude Code
/plugin install english-exam-coach

Made for: Claude Code.

Or install english-exam-coach, the plugin that ships this one along with the rest of its 8 skills, 6 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.

agentmods badge for listening-trainer

README.md
[![agentmods](https://agentmods.dev/badge/skills/oleksiidotsenko/english-exam-coach/listening-trainer/github.svg)](https://agentmods.dev/skills/oleksiidotsenko/english-exam-coach/listening-trainer)
Your own site
<a href="https://agentmods.dev/skills/oleksiidotsenko/english-exam-coach/listening-trainer"><img src="https://agentmods.dev/badge/skills/oleksiidotsenko/english-exam-coach/listening-trainer/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 listening-trainer

Your own site · 80×15
<a href="https://agentmods.dev/skills/oleksiidotsenko/english-exam-coach/listening-trainer"><img src="https://agentmods.dev/badge/skills/oleksiidotsenko/english-exam-coach/listening-trainer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 118 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,659 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. 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 $0.00118 $0.01659
Opus 5 $0.00059 $0.00830
Sonnet 5 $0.00024 $0.00332
Haiku 4.5 $0.00012 $0.00166

Measured 12d ago against content hash 05e2e22f004a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade C, and why

listening-trainer scanned grade C with 1 finding 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.

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

once. Delete the directory (`rm -rf "$d"`) when the drill ends.
plugins/english-exam-coach/skills/listening-trainer/SKILL.md · 121 lines

How it starts

The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Listening Trainer

Text-first listening practice with optional zero-dependency TTS. Paths are relative to ${CLAUDE_PLUGIN_ROOT} (if unset, resolve relative to this file).

When to use

The user asks to drill listening, or brings their own audio/transcript and wants exam-style questions on it.

Steps

  1. Identify exam + level + part. Load data/exam-formats/<exam-id>.md for the part's shape (speakers, question count, question types). Seed shapes: data/item-bank/seed/listening-scripts.md.

  2. Generate an ORIGINAL script (dialogue or monologue per the part) and its questions. Preview timing is exam-conditional: IELTS and the CEFR B1–C2 (Cambridge) exams give time to read the questions before the audio, so show the questions first; TOEFL iBT does not — the questions come after the recording (listen/take notes → then answer), so for TOEFL keep the questions hidden until playback ends. Keep the script hidden until the drill is scored. Match the script to the recording's real duration: a spoken passage runs ~130–160 words per minute, so a ~4-min monologue/interview is ~550–650 words and a short 30–40 s exchange is ~80–110 words. A script that is too short makes the drill easier than the real test. Count the script mechanically before delivering it — write it to a temp file and run wc -w (see the reading skill for the pattern); a self-estimated count is the failure this guards against.

  3. Deliver the audio, best available mode. First, set the number of plays from the exam: IELTS and TOEFL iBT play each recording once; the CEFR B1–C2 (Cambridge) exams play each recording twice (their format files say so). Honor that count in every mode below — "once" means once for IELTS/TOEFL and twice for cefr-b1cefr-c2.

    • TTS (optional, macOS): if the say command exists (command -v say), speak the script at natural speed for the exam's number of plays. First strip the formatting: remove markdown (**, >) and the speaker labels (e.g. > **Receptionist:**) so the synthesizer voices only the spoken words, not the markup. Write the cleaned, label-free plain text to a temp file in a temp location (e.g. tmp="$(mktemp -t listening)"), then play it, e.g. say -f "$tmp" (or say -o "$tmp.aiff" -f "$tmp" && afplay "$tmp.aiff"). For a multi-speaker script, split it by speaker and feed each speaker's turns to a separate say -v <voice> call so the voices alternate. Delete the temp script/audio after playback (rm -f "$tmp" "$tmp.aiff") so nothing is left on disk.
    • Per-item mode (TOEFL Listen and Choose a Response): these are not one script — each item is an independent ~5-second prompt heard once, with the four options read on screen, not aloud. Pre-render every prompt to its own file before the drill starts, then play them one at a time, collecting the answer after each and never replaying:
      d="$(mktemp -d)"; i=1
      # one say -o per prompt, then: afplay "$d/item$i.aiff"
      
      Pre-rendering matters because synthesis pauses would otherwise leak thinking time into a task whose whole difficulty is that it goes by once. Delete the directory (rm -rf "$d") when the drill ends.
    • User-side audio: the user has any TTS or a practice partner → give them the script to synthesize/have read aloud, for the exam's number of plays.
    • Fallback (always works): timed read-through — reveal the script, instruct the user to read it (once for IELTS/TOEFL, twice for the CEFR exams) at natural pace without scrolling back, then hide-and-answer. Say plainly this trains reading-listening hybrid comprehension, not pure listening.

Read the full file on GitHub · 121 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 · 121 lines · 118 tokens per session scan C 05e2e22f004a

Subscribe to this mod's changes

listening-trainer is a skill published in the GitHub repository OleksiiDotsenko/english-exam-coach (8 stars, last pushed 1mo ago), licensed MIT. It adds 118 tokens to every session and 1,659 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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