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 Frankhoubre/imaginode-mcp --skill imaginodegit clone --depth 1 https://github.com/Frankhoubre/imaginode-mcpWrote 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/frankhoubre/imaginode-mcp/imaginode)<a href="https://agentmods.dev/skills/frankhoubre/imaginode-mcp/imaginode"><img src="https://agentmods.dev/badge/skills/frankhoubre/imaginode-mcp/imaginode/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/frankhoubre/imaginode-mcp/imaginode"><img src="https://agentmods.dev/badge/skills/frankhoubre/imaginode-mcp/imaginode.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 | $0.00072 | $0.00656 |
| Opus 5 | $0.00036 | $0.00328 |
| Sonnet 5 | $0.00014 | $0.00131 |
| Haiku 4.5 | $0.00007 | $0.00066 |
Grade A, and why
imaginode 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 24 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Imaginode: AI image and video generation
You have access to the Imaginode MCP server (tools list_models, generate_image, generate_video, get_generation_status). Every call spends credits from the user's imaginode.ai account (1 credit = €0.01), failed generations are refunded automatically, and the exact cost comes back with each call.
Workflow
- Iterate cheap, finish premium. For exploration or drafts, use
flux-schnell(1 credit per image). Once the user validates the composition, regenerate with a premium model (nano-banana-2,flux-2,seedream-5-pro). Never burn premium credits on a first attempt unless the user asks for top quality immediately. - Prompts in English, concrete and visual. Subject, setting, light, style, framing. The user's language does not matter; translate the intent into a strong English prompt and show the user what you sent.
- Announce costs. Each result includes the cost in credits and the remaining balance: relay them briefly ("2 credits, 4,310 left"). If a call fails with "Not enough credits", point the user to https://imaginode.ai/pricing and stop generating.
- Video is asynchronous.
generate_videoreturns arequest_idand the cost immediately. Pollget_generation_statusabout every 30 seconds; typical jobs take 1 to 5 minutes, long ones up to 30. Keep working on other things between polls and never re-launch the same video because it "seems slow": that costs credits. - Model choice. Call
list_modelswhen the user names a style or need you cannot map to a model. Guidelines: photorealism →flux-2orimagen; image editing or character consistency with reference images →nano-banana-2orseedream-5-pro; cheap video →kling-std; video with generated audio →veo31-liteorveo3-fast; cinematic top-tier video →seedanceorkling3-std. - Input images (image-to-video, editing) must already be hosted on the user's Imaginode account: reuse output URLs from previous generations, or ask the user to upload the file to their media library at imaginode.ai first.
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.
- 9d ago First seen · 24 lines · 72 tokens per session scan A ada93144bc27
imaginode is a skill published in the GitHub repository Frankhoubre/imaginode-mcp (0 stars, last pushed yesterday), licensed MIT. It adds 72 tokens to every session and 656 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 2026-08-31.
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