What is lingochunk-discuss?

A conversational language-learning companion for discussing episodes from a LingoChunk library. It uses part of a real episode’s transcript and explains translations, grammar and vocabulary in two languages.

Use it to discuss a selected episode or transcript section, work through sentences, explain difficult grammar or idioms, and look up words from the learner’s content.

It keeps the discussion tied to the learner’s own episode instead of creating ungrounded practice material, and avoids loading an unnecessarily long transcript.

lingochunk-discuss — Skill for Claude Code by lingochunk

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.

Any agent

npx skills add lingochunk/mcp --skill lingochunk-discuss

Clone the repo

git clone --depth 1 https://github.com/lingochunk/mcp

Made for: Claude Code.

Or install lingochunk, the plugin that ships this one along with the rest of its 9 skills, 1 MCP server.

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/skills/lingochunk/mcp/lingochunk-discuss.svg)](https://agentmods.dev/skills/lingochunk/mcp/lingochunk-discuss)

Your own site

<a href="https://agentmods.dev/skills/lingochunk/mcp/lingochunk-discuss"><img src="https://agentmods.dev/badge/skills/lingochunk/mcp/lingochunk-discuss.svg" alt="Measured on agentmods" height="20"></a>

Per session 96 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 726 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	$0.00096	$0.00726
Opus 5	$0.00048	$0.00363
Sonnet 5	$0.00019	$0.00145
Haiku 4.5	$0.00010	$0.00073

Measured 7d ago against content hash c9600b8bb29d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

lingochunk-discuss 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.

skills/lingochunk-discuss/SKILL.md · 59 lines

How it starts

The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Discuss an episode

A lightweight companion to lingochunk-lesson. Where that skill produces a self-contained HTML file, this one is a conversation: sit with the learner and work through a real episode from their LingoChunk library, using the tools to stay grounded in their own content instead of inventing material.

Uses the lingochunk MCP tools. If they are not available, tell the user to add the LingoChunk MCP server (see the plugin README) and stop.

When to use

"Let's discuss the second half of yesterday's episode."
"Talk me through this German dialogue."
"Go through episode X with me and explain the tricky bits."

Workflow

Find the episode. If the user named it, resolve with list_library (match on title). Confirm which part they want (a sentence range or a time window), so you fetch a slice, not a 45-minute transcript.
Fetch the slice. get_transcript(submission_id, from_sentence/to_sentence or from_time/to_time). Check transcript_state: only ready has content.
Work through it. Go sentence by sentence (or in small groups):
- Show the target-language sentence and its translation.
- Explain the grammar and any idioms in plain language.
- When a word matters, call lookup_word for its meaning, gender and CEFR, and mention whether the user is already learning it (from get_vocabulary) rather than guessing. Prioritise learning/new words; do not dwell on words get_vocabulary(status=known) shows they have mastered.
- Offer to play a bit: get_audio_url streams the passage (always available). On a local/plugin setup only, get_audio_clip can save a short snippet to disk - skip it if the tool is not offered (remote clients do not have it).
Follow the learner. Answer their questions, look up more words on demand, pull related examples with search_examples(lemma=...) when they ask "where else does this word come up". Keep it conversational.

Rules

Read the full file on GitHub · 59 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.

7d ago First seen · 59 lines · 96 tokens per session scan A c9600b8bb29d

Subscribe to this mod's changes

lingochunk-discuss is a skill published in the GitHub repository lingochunk/mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 96 tokens to every session and 726 once invoked, about $0.0005 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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