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Acheng Model Output

Community
AharaOoO
acheng-model-output

将已批准制作数据编译成GPT Image与H3的独立请求及上传清单。

Overview

PublisherAharaOoO
Repositoryacheng-director-skill
Skill nameacheng-model-output
Stars
51
Forks
5
Bundled files
3
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by AharaOoO on GitHub. Read the source before you install it.

Installation

Install the Acheng Model Output AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/AharaOoO/acheng-director-skill/tree/main/modules/model
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/AharaOoO/acheng-director-skill.git /tmp/acheng-director-skill
mkdir -p .claude/skills
cp -r /tmp/acheng-director-skill/modules/model .claude/skills/acheng-model-output
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Acheng Model Output in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Acheng Model Output on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Acheng Model Output is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

acheng-model-output

资产到 H3 的对象/帧锚点、状态范围与交付映射未定时,按局部决策指南对应节执行;随 H3 附带的资产提示词也须携带各自真实参考副本与上传卡。

H3 必须读114 绑定与交付:从同一绑定快照消费真实素材、Subject、Shot/帧窗,生成正文、manifest、逐段上传卡并联合回读。缺素材保留完整草案,不伪造正式来源或改模式。与 assets 核对版本、与 continuity 核对状态和范围,不替他方写字段。

本文件是acheng-director随包专业子入口,按路径加载;主导演负责真值、版本、对象创建和最终合并。它不自动启动代理或调用模型。

先读本分支核心合同、灵动表演合同、动作编排合同、动画与原画术语库与专门规则;同时遵守模块回包合同。只读取本任务依赖,保留上游来源与冻结项。

图片使用72号独立交付合同;H3必须读安装的h3-prompt-writing和对应指南,并在写出前执行H3 最终格式编译门。其字段顺序、标签、说话人和时间格式继续作为基础规则,但安装指南中面向普通生成任务的 350–500 词建议不适用于 Acheng Director 的新生产任务。Ref2VA 是有真实参考图、角色、场景或动作资产时的首选模式;必须保留六字段顺序,并按 h3_contract.detail_policy() 的时长/复杂度策略计算 detailed_description 门槛:默认 10 秒段最低 2,000、目标约 2,400 个英文词,时长或复杂度增加时同步增加,极限值 2900 词硬性封顶(处于 2200-2900 词区间,剔除无上限输出)。该长度合同优先于通用短模板;长度不足只能提交 partial 和游标,不能作为完整 H3 交付。确定真实输入模式,逐段重建角色/场景/状态,按首次发声分配本段speaker。来源标签与内容Subject分离,台词原文保留。格式编译只能整理载体,不能删除工程参数或动作细节。

返回模型模式、引用、正文与上传映射。启用acting_design时,保留目标、策略、动作因果、运动弧、语气节拍和切点承接;打戏还必须保留每镜 combat.timing 的轴线、方向、速度曲线、慢动作触发和摄影同步,并展开到独立 H3 正文;不能为了字数改故事、增加参考占位或宣称模型已调用。编译完成后执行一次只整理格式的最终 pass,再把每个最终文件作为新会话独立阅读。说话清晰度以结构化 speaker、语言标签、逐字台词、口型、停顿和收音方向共同保证;不能用空泛的“清晰发音”代替。

每个 Segment 必须显式写 mode、mode_lock 和 mode_selection_reason;续写时未经用户授权不得切换模式。每个镜头都要独立展开空间位置、朝向、视线、微动作、微表情、受力、声音时序和连续尾态,不能用摘要或“同上”压缩。H3-only 请求不自动启动 STYLE_MOTHER 或资产节点;输出达到宿主上限时按完整字段边界提交 partial、保存游标并继续,不降低详细度。

交付前必须先完成一次非删减校准,再原子写入 .h3.txt,最后回读磁盘文件和真实参考素材执行 scripts/h3_final_format.py validate_h3_file。最终回执必须绑定正文 SHA-256、参考素材 SHA-256、模式、时长、字段、镜头和对白清单;模型、外部脚本或人工报告不能自行填写 format_pass=PASSED。校准可以整理字段和载体,但不能删除工程参数、动作因果、受力链、镜头路径、声音时序或详细正文。

字段写入白名单取模块登记。回包包含request_id/input_revision/module/status/attempt/patch/evidence/unresolved;最多初次加一次有证据的修正。只改允许路径,不能把其他模块的建议直接写成已确认事实。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Acheng Model Output AI skill do?

将已批准制作数据编译成GPT Image与H3的独立请求及上传清单。

Why use Acheng Model Output on TypingMind?

Because you install it once and use it with any model. Acheng Model Output is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Acheng Model Output in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AharaOoO/acheng-director-skill/tree/main/modules/model. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Acheng Model Output?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Acheng Model Output?

As many as you like. As long as a model supports skills, you can use Acheng Model Output with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Acheng Model Output AI skill free?

Yes. It is published on GitHub by AharaOoO under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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