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/generate-image)<a href="https://agentmods.dev/commands/lab94/frenchie-skill/generate-image"><img src="https://agentmods.dev/badge/commands/lab94/frenchie-skill/generate-image/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/generate-image"><img src="https://agentmods.dev/badge/commands/lab94/frenchie-skill/generate-image.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 | $0.00314 |
| Opus 5.5 | $0.00000 | $0.00126 |
| Sonnet 5.5 | $0.00000 | $0.00063 |
| Haiku 4.5 | $0.00000 | $0.00031 |
Grade A, and why
generate-image 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 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.
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.
What it actually says
Generate a single image from the prompt: $ARGUMENTS
- Call the
generate_imageMCP tool withpromptset to the description. In stdio mode, also passoutput_dirwith the absolute path of the current workspace root so the image saves next to the user's work (otherwise GUI-spawned agents like Claude Desktop save to$HOME). - If the user mentioned style, size, quality, format, or background preferences, pass them as the corresponding optional parameters; otherwise omit them and let the model defaults apply.
- If
statusis"done":- stdio mode — the MCP server already saved the image to
.frenchie/<slug>/generated.<ext>. The response includessavedTo. Tell the user the file path so they can open it. - HTTP mode — the response includes a presigned
imageUrlthat expires in 30 minutes. You MUST download the image to the user's machine (or render it inline if the agent UI supports that) before concluding the task. Do not just hand the user a URL.
- stdio mode — the MCP server already saved the image to
- If
statusis"processing", poll withget_job_resultusing the returnedjobIduntil done. - If the result has expired (status 410), tell the user the image is no longer available and ask whether to regenerate.
Pricing: 20 credits per image, refunded automatically on failure. Rate limits: 50 images / hour and 250 images / day per user.
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 · 13 lines · 0 tokens per session scan A 6f06c4d1f5c8
generate-image 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 314 tokens. 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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