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.
npx skills add lingochunk/mcp --skill lingochunk-add-languagegit clone --depth 1 https://github.com/lingochunk/mcpWrote 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.
[](https://agentmods.dev/skills/lingochunk/mcp/lingochunk-add-language)<a href="https://agentmods.dev/skills/lingochunk/mcp/lingochunk-add-language"><img src="https://agentmods.dev/badge/skills/lingochunk/mcp/lingochunk-add-language.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00225 | $0.05769 |
| Opus 5 | $0.00112 | $0.02884 |
| Sonnet 5 | $0.00045 | $0.01154 |
| Haiku 4.5 | $0.00022 | $0.00577 |
Grade A, and why
lingochunk-add-language 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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 401 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LingoChunk add-language builder
Add a target language to one of the learner's own episodes. LingoChunk keeps a submission's audio, timestamps and word analysis and reuses them across languages; the ONLY per-language work is the translation surface (the whole-sentence translation plus one meaning per word). This skill drives that work three ways:
- Ordinary target language, on the house.
add_languagetriggers the server's Groq fan-out. No tokens of yours, no per-word work - you hand it language codes and poll for the new siblings. - Agent-supplied translation, on your tokens. You page through the
episode's sentences, translate them yourself, draft them in batches and
commit. This is the only path that produces a leveled same-language
deck (
en-a2,de-b1, ...): the audio stays the source language and the "translation" is a SIMPLER register of that same language, for levelling up within a language you already read. - Cold fill of a BARE episode, on your tokens. Some episodes are
processed deliberately without the server's AI ("bring your own AI"): they
are
readyand fully tokenised, but no word has a meaning yet. The same draft-and-commit machinery fills the episode IN PLACE, in its OWN language. See "Cold fill" below.
The division of labour is the point: LingoChunk supplies the source material and mints the sibling (or holds the bare one); you supply the meanings on the user's own tokens. Nothing here spends server LLM budget on the draft path.
This skill 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
- "Add French and Ukrainian to this episode."
- "Translate my German episode into Polish."
- "Make a simplified German (A2) version of this episode so I can level up."
- "Add an English-glossed-in-simple-English deck to this recording."
- "Finish this episode - I uploaded it to enrich with my own AI."
- "My new episode has no words in the Words tab; fill it in."
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.
- 6d ago First seen · 401 lines · 0 tokens per session scan A 81cff0102b77
lingochunk-add-language is a skill published in the GitHub repository lingochunk/mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 225 tokens to every session and 5,769 once invoked, about $0.0011 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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