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 agentmods add skills/yifanfeng97/hyper-extract/multilingualnpx skills add yifanfeng97/Hyper-Extract --skill multilingualgit clone --depth 1 https://github.com/yifanfeng97/Hyper-ExtractWrote 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/yifanfeng97/hyper-extract/multilingual)<a href="https://agentmods.dev/skills/yifanfeng97/hyper-extract/multilingual"><img src="https://agentmods.dev/badge/skills/yifanfeng97/hyper-extract/multilingual.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 | $0.00073 | $0.00800 |
| Opus 5 | $0.00036 | $0.00400 |
| Sonnet 5 | $0.00015 | $0.00160 |
| Haiku 4.5 | $0.00007 | $0.00080 |
Grade A, and why
multilingual 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 4d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 4d ago First seen · 142 lines · 73 tokens per session scan A 57e1aef73616
multilingual is a skill published in the GitHub repository yifanfeng97/Hyper-Extract (3,906 stars, last pushed 3d ago), with no licence file. It adds 73 tokens to every session and 800 once invoked, about $0.0004 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 2026-08-30.
Other skills, from other repositories
readme-i18n
Skill "readme-i18n" from u9401066/HyperHierarchicalRAG, covering skill: readme 國際化 (i18n), 描述, 觸發條件, 檔案結構 and 執行流程.
Functional Enrichment Analysis (GSEA + ORA)
Translate differential expression results into biological insights using GSEA and ORA.
doc-translator
将 PDF 格式或 Web Page 格式的源文档转换成保持原排版格式的 Markdown 格式精译中文文档。.
batch-processor
Manage large document processing by splitting into batches and coordinating the full translation workflow (extraction, translation, formatting). Use when handling documents larger than 30 pages, 60 paragraphs, or 6000 words.
markdown-formatter
Format and optimize Markdown content, with special support for post-translation processing. Use when fixing Markdown syntax, adjusting layout, ensuring formatting consistency, or optimizing translated documents.
web-translator
Extract web page content and convert to Markdown format while preserving structure, images, tables, and links. Use when converting web pages to Markdown for further processing.