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.
git clone --depth 1 https://github.com/Lab94/frenchie-skillWrote 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/commands/lab94/frenchie-skill/ocr)<a href="https://agentmods.dev/commands/lab94/frenchie-skill/ocr"><img src="https://agentmods.dev/badge/commands/lab94/frenchie-skill/ocr/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/commands/lab94/frenchie-skill/ocr"><img src="https://agentmods.dev/badge/commands/lab94/frenchie-skill/ocr.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 | $0.00000 | $0.00501 |
| Opus 5.5 | $0.00000 | $0.00200 |
| Sonnet 5.5 | $0.00000 | $0.00100 |
| Haiku 4.5 | $0.00000 | $0.00050 |
Grade A, and why
ocr 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 1mo 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.
PUT the file to `upload_url` (e.g. `curl -X PUT -H "Content-Type: application/pdf" -T file.pdf "<upload_url>"`). What it actually says
Convert the file at $ARGUMENTS into Markdown using the Frenchie MCP server.
Hard rule: in HTTP mode, MUST persist the final Markdown to .frenchie/{name}/result.md before concluding the task. This rule does not apply to stdio mode because the local MCP server already writes .frenchie/... automatically.
- Determine transport mode:
- HTTP (MCP configured with
url/serverUrl): NEVER sendfile_path. Callupload_filewithfilename,file_size(bytes),mime_type→ getupload_urlandobject_key. PUT the file toupload_url(e.g.curl -X PUT -H "Content-Type: application/pdf" -T file.pdf "<upload_url>"). Then callocr_to_markdownwithuploaded_file_referenceset toobject_key. - stdio (MCP configured with
command/args): callocr_to_markdownwithfile_pathset to the absolute path
- HTTP (MCP configured with
- If
statusis"done":- stdio mode → the response is metadata-only (
savedTo,wordCount,imageCount). Read the file atsavedTowith your own file tool if the task needs the content; do not re-run the OCR job expecting inline markdown - HTTP mode → continue to step 5 to save results locally before concluding the task
- stdio mode → the response is metadata-only (
- If
statusis"processing", poll withget_job_resultusing the returnedjobIduntil done - If the result has expired, inform the user that the payload is no longer available
- If the result contains
frenchie-result:image references (HTTP mode), callfetch_result_filefor each object_key and save to.frenchie/{name}/where name is the source filename without extension (e.g.report.pdf→.frenchie/report/) - In HTTP mode, rewrite any
frenchie-result:references to local filenames and write the final Markdown to.frenchie/{name}/result.md - If there are no
frenchie-result:references, still write the returned Markdown to.frenchie/{name}/result.md
Supported formats: PDF, PNG, JPG/JPEG, WebP
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.
- 1mo ago First seen · 21 lines · 0 tokens per session scan A d0da3b4e93d1
ocr is a command published in the GitHub repository Lab94/frenchie-skill (0 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 501 tokens. 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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