lingochunk-overview

lingochunk-overview is a skill for Claude Code from lingochunk/mcp. It costs 73 tokens per session (1,205 once invoked), scanned A, original, MIT.

A guided help skill for exploring a LingoChunk account, which stores listening episodes, timestamped transcripts, audio, vocabulary practice, decks, lessons, and published collections.

In plain words
What is it for?
Use it to discuss an episode, work with transcripts and vocabulary, or explore other tasks supported by the user's LingoChunk connection.
Why use it?
It gives new users a short menu of possible tasks before going into detail, so they do not need to know the available options in advance.

Skill for Claude Code

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

Part of the lingochunk plugin — 9 skills, 1 MCP server shipped together

Good fit Use it to discuss an episode, work with transcripts and vocabulary, or explore other tasks supported by the user's LingoChunk connection.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lingochunk/mcp/lingochunk-overview
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-overview
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.

agentmods badge for lingochunk-overview

README.md
[![agentmods](https://agentmods.dev/badge/skills/lingochunk/mcp/lingochunk-overview/github.svg)](https://agentmods.dev/skills/lingochunk/mcp/lingochunk-overview)
Your own site
<a href="https://agentmods.dev/skills/lingochunk/mcp/lingochunk-overview"><img src="https://agentmods.dev/badge/skills/lingochunk/mcp/lingochunk-overview/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 lingochunk-overview

Your own site · 80×15
<a href="https://agentmods.dev/skills/lingochunk/mcp/lingochunk-overview"><img src="https://agentmods.dev/badge/skills/lingochunk/mcp/lingochunk-overview.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 73 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,205 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 $0.00073 $0.01205
Opus 5.5 $0.00029 $0.00482
Sonnet 5.5 $0.00015 $0.00241
Haiku 4.5 $0.00007 $0.00120

Measured today against content hash bd0148e668ec, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

lingochunk-overview 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 today.

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-overview/SKILL.md · 92 lines

How it starts

The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.

What you can do with LingoChunk

You are connected to the user's LingoChunk account: their episodes with timestamped transcripts and native audio, their FSRS-graded vocabulary, their decks and lessons, and (for creators) the collections they publish. This guide is the menu of what to offer.

How to answer "what can I do?"

  • Answer short first: one line per area below, each with its example prompt. Do NOT dump this whole guide on the user.
  • Then ask which area to go deeper on - or just do the thing they pick.
  • Before actually composing anything, call get_authoring_guide with the area's topic (in parentheses below) and follow it; that is where the craft rules live. Areas marked "no guide" need no preparation.
  • If a tool answers 403 naming a scope, the connection was granted narrow permissions: tell the user to reconnect (or mint a token with that scope) via LingoChunk -> Settings -> API tokens.

The menu

For every learner:

  1. Talk through an episode (topic discuss) - work through a real episode conversationally, explaining grammar and vocabulary as they come up, grounded in the user's own data. Example: "Talk me through yesterday's episode and explain the tricky bits."
  2. Check words and quiz (no guide) - the user's vocabulary with live maturity states: known, learning, new, due. Example: "Which of my German words are due today? Quiz me on them."
  3. Build a lesson (topic lesson) - a coursebook-style lesson the app renders natively: real-audio exercises, gap-fills, dictation, shadowing, one grammar point, an AI tutor, an offline worksheet download. Example: "Build a B1 lesson from the first five minutes of episode 12."
  4. Revise a lesson (topic lesson) - edit a saved lesson IN PLACE (same id and links): the app's Co-edit mode labels each block §1, §2, ... and refreshes live, so the user points at a block and watches your edit land within seconds. Example: "In my lesson, change §5 to a two-person dialogue."
  5. Build a course (topic course) - a named, ordered series of lessons with a different grammar point per lesson and ramping difficulty. Example: "Turn this 20-minute episode into a four-lesson course, A2 to B1."
  6. Build a lesson path over a whole episode (topic guided) - the app segments an episode into ordered study sections and you write each part following the server's runtime brief; the parts render natively like internally generated ones, feeding the Lessons tab and remembered progress. Planning is server-side; the writing runs on this agent. Example: "Build a lesson path over episode 12 and write the lessons."
  7. Make flashcards and export to Anki (topic cards) - native-grade cards anchored to verbatim sentences (highlight/blur painting, native audio clip), plus .apkg deck export. Example: "Make cards for the idioms in episode 12, then export the deck to Anki."
  8. Add languages (topic add-language) - fan an episode out into up to ten more languages server-side, or hand-craft the translation sentence by sentence - including simplified same-language versions (e.g. German audio glossed in easier A2 German). Example: "Add Polish and Turkish to episode 12." or "Make a simplified German (A2) version of it."

Read the full file on GitHub · 92 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. today Changed bd0148e668ec
  2. 2mo ago First seen · 92 lines · 73 tokens per session scan A 3b6aa013577d

Subscribe to this mod's changes

lingochunk-overview is a skill published in the GitHub repository lingochunk/mcp (0 stars, last pushed yesterday), licensed MIT. It adds 73 tokens to every session and 1,205 once invoked, about $0.0003 per session on Opus 5.5. 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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