DeepSeek Harness plugin

dsh-social-simulation

百万 agent 社交模拟:可扩展开源社媒模拟器,LLM agent 逼真模仿 Twitter/Reddit 上多达百万用户——23 种动作(follow/comment/repost)、兴趣与热度推荐算法、动态环境;研究信息传播/群体极化/羊群行为等社会现象。受 camel-ai/oasis(5k Apache-2.0)启发。

Jump to install

Source facts

Repository
satan9394/dsh-social-simulation
Latest update
Aug 20, 2026
Category
Workflow & Automation
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?
5. Give a clear recommendation: recommend, conditionally recommend, or do not recommend, with reasons.

Distinguish statements documented by the repository, inferences from source code, and unknowns. If evidence is insufficient, say so explicitly. Do not guess or simply repeat the README.

GitHub: https://github.com/satan9394/dsh-social-simulation
Plugin: dsh-social-simulation
Author: satan9394

Check the source files

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

File explorer3 files
README.mdSource · read only

dsh-social-simulation

DSH(DeepSeek Harness)技能插件:百万 agent 社交模拟

可扩展的开源社媒模拟器:LLM agent 逼真模仿 Twitter/Reddit 上多达一百万用户——23 种动作(follow/comment/repost)、兴趣与热度推荐算法、动态环境实时适配;研究信息传播、群体极化、羊群行为等复杂社会现象。受 camel-ai/oasis(5k★)启发的中文原创精简版。

安装

dsh plugin add dsh-social-simulation

触发方式

描述中包含"社交模拟 / 百万 agent / 信息传播研究 / 群体极化 / 羊群行为 / 内容传播测试"等关键词时自动触发。

能力

  • 百万 agent 规模模拟
  • 23 种动作空间
  • 兴趣/热度推荐算法
  • 动态环境实时适配
  • 社会现象研究(传播/极化/羊群)
  • 交互数据收集

许可

MIT