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 full-aigc-skills/jimeng-skills --skill jimeng-cli-image2videogit clone --depth 1 https://github.com/full-aigc-skills/jimeng-skillsWrote 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/full-aigc-skills/jimeng-skills/jimeng-cli-image2video)<a href="https://agentmods.dev/skills/full-aigc-skills/jimeng-skills/jimeng-cli-image2video"><img src="https://agentmods.dev/badge/skills/full-aigc-skills/jimeng-skills/jimeng-cli-image2video/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/full-aigc-skills/jimeng-skills/jimeng-cli-image2video"><img src="https://agentmods.dev/badge/skills/full-aigc-skills/jimeng-skills/jimeng-cli-image2video.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 | $0.00080 | $0.01251 |
| Opus 5 | $0.00040 | $0.00626 |
| Sonnet 5 | $0.00016 | $0.00250 |
| Haiku 4.5 | $0.00008 | $0.00125 |
Grade A, and why
jimeng-cli-image2video 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 11d 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 — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
即梦 CLI 图生视频
先按输入意图选命令，再运行对应的 dreamina <command> -h：
When to use and boundary
用于至少有一张参考图或一个参考视频的 CLI 视频任务。不该用于纯文本视频、图片生成或纯提示词润色；这些场景改用对应的 jimeng-cli-* 或 jimeng-prompt-* 技能。
| 场景 | 命令 | 关键输入 |
|---|---|---|
| 单图动画 | image2video |
--image、必填 --prompt |
| 首尾帧过渡 | frames2video |
--first、--last |
| 2–20 张故事板 | multiframe2video |
--images |
| 图/视频/音频全能参考 | multimodal2video |
至少一张图或一个视频 |
v1.4.14 硬约束
- 所有四种模式都必须显式传
--video_resolution。 - 分辨率 token 使用小写
720p、1080p、4k。 multiframe2video固定模型，只接受 720p/1080p。- 其他三种模式只有
seedance2.0_vip可用 1080p/4k，其他模型仅 720p。 image2video支持seedance1.0fast、seedance1.5pro和 Seedance 2.0 家族。frames2video支持seedance1.5pro和 Seedance 2.0 家族。multimodal2video仅支持 Seedance 2.0 家族，音频不能作为唯一输入。
完整矩阵见 dreamina-cli skill 的 v1.4.14 契约(如未安装:npx skills add full-aigc-skills/jimeng-skills --skill dreamina-cli)。
最小正确示例
dreamina image2video --image=./photo.png --prompt="镜头缓慢推近" --video_resolution=720p --poll=0
dreamina frames2video --first=./start.png --last=./end.png --prompt="季节自然变化" --video_resolution=720p --poll=0
dreamina multiframe2video --images=./a.png,./b.png --prompt="人物转身走向远处" --video_resolution=720p --poll=0
dreamina multimodal2video --image=./subject.png --audio=./music.mp3 --prompt="按音乐节奏运镜" --video_resolution=720p --poll=0
3 张以上多帧故事，每 N 张图提供 N−1 个 transition；单段时长 1–8 秒：
dreamina multiframe2video \
--images=./a.png,./b.png,./c.png \
--transition-prompt="从 A 走向 B" \
--transition-prompt="从 B 走向 C" \
--transition-duration=3 \
--transition-duration=3 \
--video_resolution=1080p \
--poll=0
异步闭环
Step 1：路由与验证
根据输入意图选择四个命令之一，验证文件可读，再用对应 help 校验模型、时长和分辨率。
Step 2：提交
检查积分、说明消费影响、异步提交并保存 submit_id。
Step 3：终态闭环
对 querying 持续调用 query_result，直到 success 或 fail。失败时报告
fail_reason。遇到 AigcComplianceConfirmationRequired 时提示用户先在 Web 端完成授权。
What ships with it
10 files 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.
- examples/first-last-frame.md 1.2 KB
- examples/multi-frame.md 1.0 KB
- examples/multimodal-ref.md 1.5 KB
- examples/single-image.md 1.4 KB
- LICENSE.txt 11 KB
- references/docker-compatibility.md 1.1 KB
- references/mode-guide.md 2.4 KB
- references/official-doc-vip-guide.md 474 B
- references/parameter-reference.md 895 B
- references/workflow-patterns.md 2.7 KB
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.
- 11d ago First seen · 87 lines · 80 tokens per session scan A 816e307879ae
jimeng-cli-image2video is a skill published in the GitHub repository full-aigc-skills/jimeng-skills (3 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 80 tokens to every session and 1,251 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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