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fslong520

雀漫

by fslong · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ✓ Security Clean
191
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0
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0
Active Installs
2
Versions
Install in OpenClaw
/install queman
Description
将长篇小说转换为 Seedance 2.0 平台的 15 秒动态漫画分镜脚本。 包含剧情容量分析、旁白与台词严格区分、角色卡(纯文本)、6-8 个分镜头、 微动作设计、镜头运动、配音音效。专为 AI 视频生成优化,无 markdown 格式符号。
Usage Guidance
This skill appears coherent and low-risk: it only instructs the model how to convert provided text into a Seedance-style 15s storyboard and requests no credentials or installs. Before installing or using it: 1) test with non-sensitive/sample text to confirm the agent follows the 'plaintext' output rules (note the docs contradict themselves about triple-backtick wrapping vs forbidding markdown); 2) review outputs before copying them into any external Seedance account or saving locally (Stage 8 mentions saving locally even though the checklist says no file I/O); 3) avoid submitting copyrighted or personally identifiable material unless you have the right to do so; and 4) if you plan to let the agent invoke this skill autonomously, be aware that it may generate and submit storyboards into conversation flows — review policies for any automated publication step. If you want stronger assurance, request a clarified SKILL.md that resolves the markdown / file I/O contradictions and explicitly states whether any automatic network integration with Seedance exists.
Capability Assessment
Purpose & Capability
The name/description (convert long-form fiction into 15s Seedance 2.0 dynamic-comic scripts) matches the contents of SKILL.md and the supporting docs. No unexpected binaries, env vars, or config paths are requested.
Instruction Scope
All runtime instructions are text-based and self-contained: analyze input text, recommend art/style/canvas/audio, and output a plaintext storyboard. No network endpoints, credentials, or file I/O are required. Minor internal inconsistencies exist: e.g., Technical specifications and Checklist state output must be '纯文本' and '禁止使用任何 markdown 符号', but the checklist also mandates wrapping the script in ```plaintext code fences (a markdown construct); Stage 8 suggests '保存分镜脚本到本地' while the checklist also states '本技能不读取或写入任何文件'. These are functional/instructional contradictions (not evidence of exfiltration) that could confuse automated agents.
Install Mechanism
Instruction-only skill with no install spec and no code files — lowest-risk install posture. There are no download URLs, packages, or extracted archives.
Credentials
The skill requests no environment variables, secrets, or config paths. Nothing asks for unrelated credentials or broad access.
Persistence & Privilege
always is false and the skill does not request persistent system presence or modify other skills. Autonomous invocation is allowed by default (disable-model-invocation is false) — this is platform default and not combined with other red flags.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install queman
  3. After installation, invoke the skill by name or use /queman
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
重构:SKILL.md 精简为流程指导文档,详细内容提取到单独文件
v1.0.0
que-man 1.0.0 – 首发版本 - 支持将长篇小说剧情高效转换为 Seedance 2.0 平台的 15 秒动态漫画分镜脚本 - 独特容量分析机制,智能切割剧情并适配动态漫画时长与信息量 - 强化旁白主导,严格台词分配,内置分镜脚本规范与镜头运动设计 - 提供可选画风与画幅确认环节,确保输出统一美术与构图风格 - 输出格式为纯文本,专为 AI 视频生成流程优化
Metadata
Slug queman
Version 1.0.1
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 2
Frequently Asked Questions

What is 雀漫?

将长篇小说转换为 Seedance 2.0 平台的 15 秒动态漫画分镜脚本。 包含剧情容量分析、旁白与台词严格区分、角色卡(纯文本)、6-8 个分镜头、 微动作设计、镜头运动、配音音效。专为 AI 视频生成优化,无 markdown 格式符号。 It is an AI Agent Skill for Claude Code / OpenClaw, with 191 downloads so far.

How do I install 雀漫?

Run "/install queman" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is 雀漫 free?

Yes, 雀漫 is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does 雀漫 support?

雀漫 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created 雀漫?

It is built and maintained by fslong (@fslong520); the current version is v1.0.1.

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