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Huo15 Comic Video

Name: Huo15 Comic Video
Author: zhaobod1

作者 Job Zhao · GitHub ↗ · v0.1.0 · MIT-0

cross-platform ⚠ suspicious

总下载

当前安装

版本数

在 OpenClaw 中安装

/install huo15-comic-video

功能描述

分镜关键帧 → 短视频（Seedance 2.0 图生视频，关键帧做 first_frame，5s/镜，最多 3 并发，开启 return_last_frame 用于下镜衔接）。触发词：图生视频、分镜视频、漫剧视频化。

使用说明 (SKILL.md)

火15 漫剧-图生视频 Skill

关键帧 → 视频片段。核心复用 huo15-influencer-video-skill 的 Seedance 2.0 模式。

输入 / 输出

python scripts/video.py \
  --script output/demo/script.json \
  --frame-dir output/demo/storyboard \
  --out-dir output/demo/videos

输出：

videos/
├── S01.mp4
├── S02.mp4
├── ...
└── last_frames/      # return_last_frame 输出，用于下镜衔接
    ├── S01_last.png
    └── ...

关键参数

参数	值	说明
model	`doubao-seedance-2-0-260128`	火山方舟
first_frame	`storyboard/{sid}.png`	关键帧做首帧
ratio	`9:16`	竖屏
duration	5	每镜 5 秒
return_last_frame	true	保存 last_frame 供下镜接续
watermark	false

并发与续跑

最多 3 任务并发提交（DEFAULTS["concurrency"]），避免限流
每镜 checkpoint 独立（videos.S01=done），失败只重做失败镜头

成本

5s × ¥0.994/s = ¥4.97/镜。48 镜 ≈ ¥239。

安全使用建议

Before installing or running this skill, note: (1) The bundled code will call a remote Volcengine/Ark API and will upload your local frame images (they are base64-encoded and sent). Do not point frame-dir to any sensitive images you don't want uploaded. (2) The code requires an ARK_API_KEY environment variable at runtime but the skill metadata/SKILL.md do not declare this — you should only provide that key if you trust the provider. (3) The tool writes .checkpoint.json and .cost.json to the project parent directory and will download video and last-frame assets to disk. (4) The workflow incurs real cloud cost; confirm cost_cap and pricing before running. Recommended actions: ask the publisher to update metadata and SKILL.md to list required env vars (ARK_API_KEY) and endpoints, run the skill in an isolated environment, audit the API key permissions and billing limits, and review the provider's privacy/terms for uploaded content.

功能分析

Type: OpenClaw Skill Name: huo15-comic-video Version: 0.1.0 The skill bundle is a legitimate tool for generating comic videos from storyboard frames using the Volcengine (Ark) API. It features a well-structured architecture including an API client (ark_api.py), a cost management system (cost_guard.py) to prevent overspending, and a checkpointing mechanism (checkpoint.py) for task persistence. The code uses standard libraries, follows safe file-handling practices with pathlib, and lacks any indicators of malicious intent, data exfiltration, or unauthorized execution.

能力标签

cryptocan-make-purchasesrequires-sensitive-credentials

能力评估

ℹ Purpose & Capability

The code implements Seedance 2.0 image→video workflows against a Volcengine/Ark endpoint, which matches the skill name/description. However, the skill registry declares no required env vars or credentials even though ark_api.ArkClient requires ARK_API_KEY at runtime. That omission is an inconsistency between stated metadata and actual capability.

ℹ Instruction Scope

SKILL.md shows running scripts/video.py with local script/frame dirs and out dir — the runtime instructions are narrowly scoped to generate videos. The code will read local frame image files (base64-encode and upload them), post prompts and image data to the Ark API, download video/last-frame URLs, and write video files and checkpoint/cost files to disk. The instructions do not mention the required API key, that images will be transmitted, nor the remote endpoints, which is a transparency gap.

✓ Install Mechanism

No install spec — this is an instruction+bundled-Python-scripts skill. No external archive downloads or package installs are requested, which keeps install risk low.

⚠ Credentials

The code requires an ARK_API_KEY environment variable (ArkClient.__init__ raises if absent), but the skill metadata lists no required env vars or primary credential. Additionally, config.py references other third-party endpoints (kling, sunoapi) and models; while not directly invoked by this script, their presence increases surface area for credential requirements in related scripts. The missing declaration of ARK_API_KEY and the lack of explicit guidance about what credentials are needed is disproportionate.

✓ Persistence & Privilege

The skill writes outputs (MP4s, last_frames) and state files (.checkpoint.json and .cost.json) into the provided output/project directories for resumability — this is expected behavior for a pipeline tool. always:false and normal autonomous invocation are used.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install huo15-comic-video
安装完成后，直接呼叫该 Skill 的名称或使用 /huo15-comic-video 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v0.1.0

initial release

元数据

Slug huo15-comic-video

版本 0.1.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

常见问题