Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/rondoflow/rondoflownpx agentmods add skills/rondoflow/rondoflow/ai-image-video-generation-apiWrote 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/rondoflow/rondoflow/ai-image-video-generation-api)<a href="https://agentmods.dev/skills/rondoflow/rondoflow/ai-image-video-generation-api"><img src="https://agentmods.dev/badge/skills/rondoflow/rondoflow/ai-image-video-generation-api/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/rondoflow/rondoflow/ai-image-video-generation-api"><img src="https://agentmods.dev/badge/skills/rondoflow/rondoflow/ai-image-video-generation-api.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00042 | $0.00492 |
| Opus 5.5 | $0.00017 | $0.00197 |
| Sonnet 5.5 | $0.00008 | $0.00098 |
| Haiku 4.5 | $0.00004 | $0.00049 |
Grade A, and why
ai-image-video-generation-api 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
AIMLAPI Media Generation
Overview
Generate images and videos via AIMLAPI with scripts that include retries, API key file fallback, verbose logs, and required User-Agent headers on every request.
Quick start
export AIMLAPI_API_KEY="sk-aimlapi-..."
python3 {baseDir}/scripts/gen_image.py --prompt "ultra-detailed studio photo of a lobster astronaut"
python3 {baseDir}/scripts/gen_video.py --prompt "slow drone shot of a foggy forest"
Tasks
Generate images
Use scripts/gen_image.py with /v1/images/generations.
python3 {baseDir}/scripts/gen_image.py \
--prompt "cozy cabin in a snowy forest" \
--model aimlapi/openai/gpt-image-1 \
--size 1024x1024 \
--count 2 \
--retry-max 4 \
--user-agent "openclaw-custom/1.0" \
--out-dir ./out/images
Generate videos (async AIMLAPI flow)
Use scripts/gen_video.py with the real async flow:
POST /v2/video/generations(create task)GET /v2/video/generations?generation_id=...(poll status)- download
video.urlwhen status is completed
python3 {baseDir}/scripts/gen_video.py \
--model google/veo-3.1-t2v-fast \
--prompt "time-lapse of clouds over a mountain range" \
--poll-interval 10 \
--max-wait 1000 \
--user-agent "openclaw-custom/1.0" \
--out-dir ./out/videos
References
references/aimlapi-media.md: endpoint notes, async polling statuses, and troubleshooting.README.md: changelog-style summary of new instructions.
What ships with it
1 file 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.
- 1mo ago First seen · 63 lines · 42 tokens per session scan A e01da009d307
ai-image-video-generation-api is a skill published in the GitHub repository rondoflow/rondoflow (26 stars, last pushed today), licensed MIT. It adds 42 tokens to every session and 492 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-03.
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