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 fanfan-de/anybox --skill kling-videogit clone --depth 1 https://github.com/fanfan-de/anyboxWrote 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/fanfan-de/anybox/kling-video)<a href="https://agentmods.dev/skills/fanfan-de/anybox/kling-video"><img src="https://agentmods.dev/badge/skills/fanfan-de/anybox/kling-video/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/fanfan-de/anybox/kling-video"><img src="https://agentmods.dev/badge/skills/fanfan-de/anybox/kling-video.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 | $0.00027 | $0.00331 |
| Opus 5 | $0.00014 | $0.00166 |
| Sonnet 5 | $0.00005 | $0.00066 |
| Haiku 4.5 | $0.00003 | $0.00033 |
Grade A, and why
Kling Video Generation 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.
What it actually says
Kling Video Generation
Use the Kling MCP tools when the user asks to generate AI videos with Kling, turn an image into a video, or check a Kling video generation task.
Workflow
- For a pure prompt, call
kling_create_text_to_video. - For an image prompt, call
kling_create_image_to_video. - Return the
task_idimmediately if the user only asked to start generation. - If the user expects the final video, call
kling_wait_for_videowith the same endpoint and task ID. - When the task succeeds, show the returned video URL(s) from
task.urls.
Defaults
Use these defaults unless the user asks otherwise:
model_name:kling-v3mode:produration:5aspect_ratio:16:9
Only set sound, cfg_scale, or model-specific controls when the user asks for them or when they are clearly needed. Some Kling models do not support every parameter.
Images
For image-to-video, image and image_tail must be public URLs or bare base64 image content. Do not pass a data:image/...;base64, prefix.
Results
Kling generation URLs expire after the provider's retention window. If the user needs a durable artifact, download or transfer the returned video URL using available file or storage tools after the task succeeds.
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 · 36 lines · 27 tokens per session scan A d8083961c740
Kling Video Generation is a skill published in the GitHub repository fanfan-de/anybox (57 stars, last pushed 1mo ago), licensed MIT. It adds 27 tokens to every session and 331 once invoked, about $0.0001 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 2026-09-03.
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