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 meitu/meitu-skills --skill video-multimodal-generategit clone --depth 1 https://github.com/meitu/meitu-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/meitu/meitu-skills/video-multimodal-generate)<a href="https://agentmods.dev/skills/meitu/meitu-skills/video-multimodal-generate"><img src="https://agentmods.dev/badge/skills/meitu/meitu-skills/video-multimodal-generate/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/meitu/meitu-skills/video-multimodal-generate"><img src="https://agentmods.dev/badge/skills/meitu/meitu-skills/video-multimodal-generate.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 | $0.00068 | $0.01591 |
| Opus 5.5 | $0.00027 | $0.00636 |
| Sonnet 5.5 | $0.00014 | $0.00318 |
| Haiku 4.5 | $0.00007 | $0.00159 |
Grade A, and why
video-multimodal-generate 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 2mo 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.
This is a copy
88% identical to text-code-edit — 138 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video Multimodal Generate
Overview
调用 meitu video-multimodal-generate 基于音频/视频/图片/文字任意组合做多模态混合驱动视频生成。适合音乐配视频、参考视频运镜/节奏、多素材混合生成。
不处理：纯文字生成视频、仅图片生成视频（无视频无音频）、动作迁移。
API Mapping
| DAG 工具 | 后端 API |
|---|---|
| video-multimodal-generate | video_multimodal_generate |
Dependencies
- meitu-cli:
>=2.0.6 - 凭证：CONFIG AKSK →
meitu tools update；EXEC AKSK → 跑命令 - 环境变量：
MEITU_OPENAPI_TOOL_TASK_MODE=command
路径别名：
$VISUAL={OPENCLAW_HOME}/workspace/visual/
Core Workflow
Preflight → Execute → Deliver
Preflight
meitu --version≥ 2.0.6；meitu auth verify --json- 确认已跑过 Config Phase；
MEITU_OPENAPI_TOOL_TASK_MODE=command - output_dir 解析：openclaw.yaml →
./output/| else →$VISUAL/output/video-multimodal-generate/；mkdir -p {output_dir}
Execute
触发信号/路由
触发条件（任一成立）：
- 用户上传音频 → 必须走本工具（独有能力）
- 仅视频无图片 → 运镜/风格/节奏参考
- 用户想参考视频的运镜/风格/节奏（不是模仿人体动作）
- 复杂多素材混合（图片+视频+音频）
决策顺序：
- 至少一类多媒体素材；
prompt缺失 → 追问 - 素材总数 ≤12（图片+视频+音频合计）
- 唯一路由 →
video_multimodal_generate
有图+视频但意图不明（运镜 vs 动作模仿）→ 默认走本工具。
参数定义
| 参数 | 类型 | 必填 | 范围 | 默认值 | 说明 |
|---|---|---|---|---|---|
prompt |
STRING | 是 | -- | -- | 文字描述；缺失 → "请描述你想生成的视频内容" |
video_duration |
NUMBER | 是 | 4–15 / -1（智能） | -1 | 视频时长（秒） |
ratio |
STRING | 是 | adaptive/16:9/4:3/1:1/3:4/9:16/21:9 | adaptive | 画面比例 |
image_list |
ARRAY | 否 | ≤9 张 | -- | 图片 URL 列表 |
reference_video_list |
ARRAY | 否 | ≤3 个，总时长 ≤15s | -- | 参考视频 URL 列表 |
reference_audio_list |
ARRAY | 否 | ≤3 个，总时长 ≤15s | -- | 音频 URL 列表 |
sound |
BOOL | 否 | true / false | true | 是否生成音频 |
resolution |
STRING | 否 | 480p / 720p | 720p | 视频分辨率 |
至少提供一类多媒体素材；图片+视频+音频合计 ≤12。
工具调用
meitu video-multimodal-generate \
--skill_name skill_video-multimodal-generate \
--prompt "{prompt}" \
--video_duration -1 \
--ratio adaptive \
--image_list '["{url1}"]' \
--reference_video_list '["{video_url}"]' \
--reference_audio_list '["{audio_url}"]' \
--sound true --resolution 720p \
--json --download-dir {output_dir}
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.
- 2mo ago First seen · 142 lines · 68 tokens per session scan A e65ad3b18497
video-multimodal-generate is a skill published in the GitHub repository meitu/meitu-skills (36 stars, last pushed 2mo ago), licensed MIT. It adds 68 tokens to every session and 1,591 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 88% identical to text-code-edit, differing in 138 lines, and is treated as a copy.
video-multimodal-generate compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| video-multimodal-generatemeitu/meitu-skills | Skill | 36 | 2mo ago | MIT | A | 68 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |