deepseekplugins

DeepSeek Harness plugin

framefactory-plugin

A runnable DeepSeek Harness plugin for FrameFactory content workflows.

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Source facts

Repository
anywhere-labs/framefactory-plugin
Latest update
Aug 15, 2026
Category
Tools & Capabilities
GitHub stars
0
Format
plugin
Catalog evidence
Upstream dsh.bundle evidence
Evidence path
package.json#dsh.bundle
Checked against
0.1.0-rc.8
Upstream check date
2026-08-20

This evidence comes from the upstream catalog. This site has not installed, run, or security-reviewed the plugin.

Install

Start with a prompt that asks an agent to review the GitHub repository and source. Switch to the command if you want to install it yourself.

Copy this prompt into DSH, Codex, or another agent and ask it to review the GitHub repository and source first.

Do not install or run any commands yet. Read this plugin's GitHub repository, README, and relevant source code. Then answer the questions below clearly and directly so I can decide whether it fits my needs:

1. What is this plugin, and what problem does it solve?
2. Who is it for, and what are its typical use cases?
3. How is it used after installation? Include one minimal example.
4. What known limitations or privacy, security, compatibility, or maintenance risks does it have?
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GitHub: https://github.com/anywhere-labs/framefactory-plugin
Plugin: framefactory-plugin
Author: anywhere-labs

Check the source files

Read the README and other files from this plugin directory before installing.

File explorer3 files
README.mdSource · read only

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

  • FrameFactory 主项目：https://github.com/duliangkuan/framefactory
  • DeepSeek Harness Desktop：https://github.com/anywhere-labs/deepseek-harness-desktop
  • Agents-Anywhere：https://github.com/anywhere-labs/Agents-Anywhere

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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