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/lab94/frenchie-skill/frenchienpx skills add Lab94/frenchie-skill --skill frenchiegit clone --depth 1 https://github.com/Lab94/frenchie-skillWhat 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 | $0.00054 | $0.02514 |
| Opus 5 | $0.00027 | $0.01257 |
| Sonnet 5 | $0.00011 | $0.00503 |
| Haiku 4.5 | $0.00005 | $0.00251 |
Grade A, and why
frenchie 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 2d 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.
3. PUT the file to `upload_url` with the correct `Content-Type` header (e.g. via `curl -X PUT -H "Content-Type: application/pdf" -T file.pdf "<upload_url>"`) How it starts
The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Frenchie — Your Agent's Best Friend
Frenchie is an MCP-first multimodal utility that expands what agents can do. When installed via npx @lab94/frenchie install, Frenchie runs as a local stdio MCP server and results are auto-saved to .frenchie/<name>/. Hosted/web agents connect over HTTP at https://mcp.getfrenchie.dev — both transports are supported.
Shipping today: OCR for PDFs and images, transcription for audio and video, image generation from text prompts, and structured file extraction for Office/CSV files. Rolling out next: Markdown-to-file generation (Word, Excel). New tools appear in this skill as they launch.
MCP Tools
Use the Frenchie MCP server. Never call model provider APIs directly.
| Tool | Purpose | Input |
|---|---|---|
ocr_to_markdown |
PDF/Image to Markdown | file_path (stdio) or uploaded_file_reference (HTTP) |
transcribe_to_markdown |
Audio/Video to Markdown | file_path (stdio) or uploaded_file_reference (HTTP) |
extract_to_markdown |
Word/Excel/CSV/TSV/PowerPoint to Markdown | file_path (stdio) or uploaded_file_reference (HTTP) |
generate_image |
Text prompt to image | prompt, optional style/size/quality/format/background/output_dir |
get_job_result |
Poll async job result | job_id |
upload_file |
Get presigned upload URL (HTTP only) | filename, file_size, mime_type |
fetch_result_file |
Download result image (HTTP only) | object_key |
All tools accept optional api_key (only needed if FRENCHIE_API_KEY is not already set).
File Access by Transport Mode
- stdio (default when installed locally): the MCP server runs on the same machine, so
file_pathworks with absolute local paths. Results are auto-saved to.frenchie/<name>/next to the source file. - HTTP (hosted agents): the MCP server runs remotely, so local file paths do not exist on the server. NEVER send
file_pathover HTTP. Upload first, then useuploaded_file_reference.
What ships with it
5 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.
- 2d ago First seen · 151 lines · 54 tokens per session scan A 77632730220f
frenchie is a skill published in the GitHub repository Lab94/frenchie-skill (0 stars, last pushed 3mo ago), licensed MIT. It adds 54 tokens to every session and 2,514 once invoked, about $0.0003 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.
Other skills, from other repositories
skill-doc-delivery
Convert markdown to DOCX, PPTX, XLSX, PDF office documents — use when you need exportable deliverables.
document-gen-resilient
Multi-path document generation with tool checks, Unicode handling, and Python fallbacks.
pdf-explore
Read, extract, and cross-check content across scientific PDFs. Use when a task needs methods, figures, tables, citations, accessions, or claims from multiple places in one or more papers.
make-resume
中文可编辑简历制作技能：根据用户经历选择或复刻模板，生成可编辑 HTML 简历并提供 PDF 导出；当用户输入“/make-resume”或要求制作、修改、复刻简历文件时使用。.
paper-reader
Use when user asks to "read paper", "analyze paper", "summarize paper", "读论文", "分析文献", "帮我看一下这篇paper", "论文笔记", or provides a PDF file that appears to be an academic paper. Specialized for CV/DL papers. Also supports Zotero integration: "读一下这篇论文 ...", "快速看一下这篇论文 ...", "批判性分析这篇论文 ...", "读一下 Zotero 里的 XXX", "批量读一下 Zotero…
decrypt4pdf
对加密的 PDF 文件进行解密。当用户提到 PDF 解密、解除 PDF 密码、解 PDF 时使用。.