anywhere-labs/framefactory-plugin

Plugin插件 Native原生 ⭐ 2 MIT Subagents & Orchestration子代理与编排

一个可运行的DeepSeek Harness插件,用于FrameFactory内容工作流

Project Overview项目介绍

This repository is a native plugin built exclusively for DeepSeek Harness (DSH), which integrates the public content creation capabilities of FrameFactory into DSH as a callable skill. It ships with a DSH plugin manifest that allows it to be directly installed and loaded via DSH's built-in plugin management system. All features are exposed as a single skill that DSH agents can trigger automatically when users submit relevant content creation requests. The plugin currently offers six core features: topic breakdown, self-media title suggestions, short video script structuring, visual plan and material suggestions, pre-publication QC checklists, and a dependency-free JSON content brief example tool.

Installation is straightforward for users who already have the latest version of DSH installed on their local machine. After confirming DSH is up to date, users can run the command dsh plugin --profile web add github:anywhere-labs/framefactory-plugin in their terminal to add the plugin to their target DSH profile. Once the installation completes, start DSH’s web interface with the dsh web command, create a new chat session, and input a content request like asking FrameFactory to generate a short video brief for a given topic. The DSH agent will automatically call the plugin’s skill to generate a full output matching the request.

This release is a minimum viable public version of the FrameFactory plugin for DSH, and it does not include the team’s private production-grade writing templates, commercial material libraries, proprietary model API keys, or internal full quality check implementations. The entire project is released under the open source MIT license, which means it is free to use, modify, and distribute for both personal and commercial purposes. For developers who want to test or contribute to the plugin locally, you can run npm test to validate changes and node tools/render-brief.mjs to test content brief generation directly from the command line. The project maintainers plan to add more modular plugins in the future to expand FrameFactory’s capabilities within DSH.

这是一个专为DeepSeek Harness开发的原生插件,将FrameFactory的公开内容生产能力以可调用技能的形式接入DSH。它目前提供多种内容生产辅助能力,包括选题拆解、自媒体标题候选生成、短视频脚本结构梳理、视觉计划与素材供给建议、发布前质量核验清单,以及一个无依赖的JSON内容brief示例生成工具。所有能力都封装为可供DSH直接调用的技能接口,无需额外配置额外的中间层就能使用。

安装该插件需要先安装最新版的DeepSeek Harness,之后在目标配置文件中执行命令完成安装:dsh plugin --profile web add github:anywhere-labs/framefactory-plugin,再启动DSH网页端即可使用。使用时,新建会话后输入对应需求,比如要求FrameFactory生成指定主题的短视频内容brief,DSH就会调用该插件的技能输出完整的标题、脚本、视觉计划和质检清单。开发者也可以执行npm test做本地开发验证。

这是FrameFactory的公开MVP版本插件,不包含开发团队未公开的生产级写作工艺卡、商业素材库、专有模型密钥或是内部完整质检实现。项目采用MIT许可协议,完全开源免费,可供任何个人或商业场景使用和修改。项目后续计划拆分出更多可组合的插件模块,涵盖账号工厂、镜头视觉规划、素材匹配、脚本质检和发布文案生成等能力。

Pre-install check安装前体检Compatibility · Security兼容性 · 安全性 1 warning1 项注意
  • Only 2 stars - very few users, little community feedback星标只有 2,几乎没人在用,遇到问题缺少社区反馈
DSH walks through these 9 checksDSH 会逐条核对这 9 项

Compatibility兼容性

  • DSH, Node, OS and profile requirementsDSH 版本 / Node 版本 / 操作系统 / profile 是否满足要求
  • External dependencies and runtimes (Electron / Python / Docker, ...)外部依赖与运行时(Electron / Python / Docker 等)是否齐备
  • Conflicts with installed plugins: command names, skill / tool names, ports, duplicate MCP registration与已装插件是否冲突:命令名、skill / tool 重名、端口占用、重复 MCP 注册

Security安全性

  • Repo matches the facts registered here; archived or abandoned?仓库是否与页面登记一致,是否归档或长期停更
  • Safety of preinstall / install / postinstall and install.sh / setup.ps1preinstall / install / postinstall 与 install.sh、setup.ps1 是否安全
  • curl|bash, download-then-execute, obfuscation, unrelated domains → stop immediatelycurl|bash、下载即执行、混淆代码、无关域名 → 立刻停止
  • Typosquatting or unmaintained packages among the new dependencies新增依赖里有没有 typosquatting 或无人维护的包
  • Requested permissions vs. what the feature actually needs申请了哪些权限、是否超出功能所需(filesystem / network / shell / clipboard)
  • Any sudo / admin requirement, plus uninstall and rollback是否要求 sudo / 管理员权限,以及卸载与回滚方式

Anything uncertain must be marked unknown with a note on how to confirm it. This site's signal screen is a static snapshot, not a security audit.拿不准的必须标「未知」并说明要我怎么确认。本站的信号筛查是静态快照,不能替代安全审计。

Or use CLI install (for developers)或使用命令行安装(适合开发者)

CLI Install命令行安装

dsh plugin --profile web add github:anywhere-labs/framefactory-plugin

把 anywhere-labs/framefactory-plugin 加入你的 DSH 配置(web profile)即可启用。

READMEREADME

FrameFactory Plugin for DeepSeek Harness

一个最小可运行的 DeepSeek Harness 插件,把 FrameFactory 的公开能力以一个可调用的内容生产 skill 接入 DSH。

它目前提供:

  • 选题拆解
  • 自媒体标题候选
  • 短视频脚本结构
  • 视觉计划和素材供给建议
  • 待核验项与发布前 QC 清单
  • 一个无依赖的 JSON brief 示例工具

这是 FrameFactory 的公开 MVP 插件,不包含团队未公开的生产级写作工艺卡、商业素材库、模型密钥或内部质检实现。

安装到 DeepSeek Harness

安装最新 DSH 后,在目标 profile 中执行:

dsh plugin --profile web add github:anywhere-labs/framefactory-plugin
dsh web

安装后,新建一个会话并输入类似:

使用 FrameFactory,帮我把“AI Agent 如何改变自媒体工作流”做成一条短视频内容 brief。

模型会调用 framefactory-content skill,输出标题、脚本、视觉计划和 QC 清单。

本地开发/验证

npm test
node tools/render-brief.mjs "AI Agent 如何改变自媒体工作流"

本地直接通过 Cordis 配置加载:

- name: ./src/index.js

相关项目

开发计划

后续会继续把 FrameFactory 的公开能力拆成更多可组合插件,例如账号工厂、镜头/视觉 beat 规划、素材匹配、脚本质检和发布文案等。

License

MIT

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