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-opencli-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-opencli-image2video)<a href="https://agentmods.dev/skills/full-aigc-skills/jimeng-skills/jimeng-opencli-image2video"><img src="https://agentmods.dev/badge/skills/full-aigc-skills/jimeng-skills/jimeng-opencli-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-opencli-image2video"><img src="https://agentmods.dev/badge/skills/full-aigc-skills/jimeng-skills/jimeng-opencli-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 | $0.00084 | $0.00883 |
| Opus 5 | $0.00042 | $0.00441 |
| Sonnet 5 | $0.00017 | $0.00177 |
| Haiku 4.5 | $0.00008 | $0.00088 |
Grade A, and why
jimeng-opencli-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 12d 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
jimeng-opencli-image2video — 即梦图生视频（opencli / 普通会员）
面向无 dreamina CLI 的普通会员。仅允许 opencli jimeng 子命令，禁止 dreamina image2video、frames2video、multiframe2video、multimodal2video 及 jimeng-cli-image2video。
增量运动 prompt 由 jimeng-prompt-image2video 提供；图生视频 / 首尾帧 / 分镜 / 全能参考在即梦网页由用户选择模式并上传素材后生成。
opencli 命令
| 子命令 | 用途 |
|---|---|
generate-image2video <prompt> --image <path> |
单张参考图 + 运动 prompt（type=video） |
history |
任务完成后核对 |
new / workspaces |
会话管理 |
首尾帧、多分镜、多模态仍须在网页选手动模式；opencli 无 --first/--last 路由。
网页模式与 prompt 技能对齐
| 用户输入 | 网页侧（用户操作） | prompt 技能要点 |
|---|---|---|
| 单张图 | 图生视频，上传 1 张 | 只写运动增量 |
| 首尾 2 张 | 首尾帧 / 过渡 | 描述过渡过程 |
| 多张分镜 | 多帧 / 故事板 | 叙事 + 转场 |
| 图 + 音视频 | 全能参考 / 多模态 | 合成关系说明 |
路由在网页完成；智能体用 prompt 技能协助文案，用 opencli 做会话与验收。
核心流程
1. PROMPT → jimeng-prompt-image2video
2. SESSION → 可选 opencli jimeng new --type=video
3. GEN → opencli jimeng generate-image2video "<motion prompt>" --image ./frame.png --wait 180
4. VERIFY → opencli jimeng history --limit N --type=video（视频可长达十余分钟，分轮查询）
允许的 opencli 示例
opencli jimeng generate-image2video "镜头缓慢推进，发丝随风飘动" --image ./portrait.jpg --wait 180
opencli jimeng history --limit 10 --type=video
禁止事项
- 不得调用任何 dreamina 视频子命令或
query_result轮询。 - 不得虚构 opencli 图生视频参数。
- 不得引导安装 dreamina。
与 jimeng-cli-image2video
已开通 dreamina CLI 的用户用 jimeng-cli-image2video 做子命令路由与轮询；本技能用户不得改用。
智能体规范
- prompt 只描述动起来的部分，不重复画面静态内容。
- 分轮
history验收，禁止 shell 死循环。 - 单图图生视频用
generate-image2video --image；复杂模式仍引导用户在网页操作。
Gotchas
- 首尾帧 / 分镜 / 多模态须网页手动，不得虚构 opencli 参数。
- 视频耗时长，默认
--wait=120，图生视频建议 180+。 - 普通会员排队与积分以网页为准。
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.
- 12d ago First seen · 71 lines · 84 tokens per session scan A 9194650b8f26
jimeng-opencli-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 84 tokens to every session and 883 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…