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 pedroiff0/awesome-skills --skill libretranslate-markdown-i18ngit clone --depth 1 https://github.com/pedroiff0/awesome-skillsWrote 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/pedroiff0/awesome-skills/libretranslate-markdown-i18n)<a href="https://agentmods.dev/skills/pedroiff0/awesome-skills/libretranslate-markdown-i18n"><img src="https://agentmods.dev/badge/skills/pedroiff0/awesome-skills/libretranslate-markdown-i18n/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.
<a href="https://agentmods.dev/skills/pedroiff0/awesome-skills/libretranslate-markdown-i18n"><img src="https://agentmods.dev/badge/skills/pedroiff0/awesome-skills/libretranslate-markdown-i18n.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00127 | $0.04866 |
| Opus 5 | $0.00063 | $0.02433 |
| Sonnet 5 | $0.00025 | $0.00973 |
| Haiku 4.5 | $0.00013 | $0.00487 |
Grade A, and why
libretranslate-markdown-i18n scanned grade A 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 11d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- Wait for `curl -s -o /dev/null -w '%{http_code}' http://localhost:5000/` -> `200`. How it starts
The opening of the file, as written. The whole thing — 224 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LibreTranslate Markdown i18n
Self-host LibreTranslate (Docker) and translate Markdown/Obsidian content while keeping the
markup intact. The naive approach — sending raw Markdown to the MT engine — corrupts the
output: emojis vanish or get "translated" into words, #/## headings get rewritten,
**bold** grinds into the text, and Obsidian ![[embed]] wikilinks turn into garbage
("Chapitre 1"). This skill encodes the protection technique that makes it safe.
When to use
- "Translate this vault / these notes / the pt-br content into en/es/fr"
- Building i18n for a Quartz site, Obsidian publish, or static Markdown docs
- Any MT task where the source is Markdown with frontmatter and/or wikilinks
1. Stand up LibreTranslate (Docker)
docker run -d --name libretranslate -p 5000:5000 \
-e LT_LOAD_ONLY=pt,en,es,fr \
-e LT_UPDATE=false \
libretranslate/libretranslate:latest
LT_LOAD_ONLYlimits downloaded models (faster first start; ~1-2 min to HTTP 200).LT_UPDATE=falsestops it phoning home for updates.- Wait for
curl -s -o /dev/null -w '%{http_code}' http://localhost:5000/->200. - Translation endpoint:
POST http://localhost:5000/translatewith form fieldsq,source,target,format=text.
2. The protection technique (CORE)
Never send raw Markdown. Per line:
- Split frontmatter (
---...---) and preserve it verbatim, EXCEPT you MAY translate the display-only fieldstitleanddescriptionper language (see 3c). Never translateslug/aliases/URL-bearing fields — those must stay IDENTICAL across languages so the language toggle keeps working. Preserve YAML key order and formatting where possible. - Separate block prefix from text. A heading/list/callout line like
## 🗓️ Sobre o eventomust be split into prefix## 🗓️(markup + adjacent emoji) and textSobre o evento. Translate ONLY the text. The MT engine must never see##or the emoji.- Regex for the prefix:
^(?:#{1,6}\s+|>\s*|[-*]\s+|\d+\.\s+|!\s*)?<EMOJI_CLASS>*whereEMOJI_CLASScovers U+1F000–U+1FAFF, U+2600–U+27BF, U+2190–U+21FF, U+2B00–U+2BFF, U+FE00–U+FE0F, U+2700–U+27BF,\u200d,\u20e3.
- Regex for the prefix:
- Wikilinks never reach the MT engine. Extract
!?\[\[[^\]]+\]\]from the text and keep them literal (split the line on them, translate only the text between). Do NOT use a placeholder for wikilinks — the engine sometimes deletes long wikilinks entirely. - Bold/italic/internal links (
**[...]**,*[...]*,[anchor](pt-br/...)) use a placeholder§N§(see pitfalls). - Rejoin prefix + translated text. Guarantee one space after a heading/emoji prefix if the
engine dropped it. Strip a leading
-/#/*the engine may inject at line start.
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 224 lines · 127 tokens per session scan A 784ad7ce83de
libretranslate-markdown-i18n is a skill published in the GitHub repository pedroiff0/awesome-skills (1 stars, last pushed 3d ago), licensed MIT. It adds 127 tokens to every session and 4,866 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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