deepseekplugins

DeepSeek Harness plugin

dsh-showrunner

Deterministic show/game engine on top of DeepSeek Harness: scenario packs, machine-adjudicated matches, replayable event logs

Just for Fun
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Source facts

Repository
gqy20/dsh-showrunner
Latest update
Aug 16, 2026
Category
Just for Fun
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/gqy20/dsh-showrunner
Plugin: dsh-showrunner
Author: gqy20

Check the source files

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

File explorer2 files
README.mdSource · read only

dsh-showrunner

Agent 节目与游戏引擎：DeepSeek Harness 负责 Agent 运行时，Showrunner 负责权威比赛状态，Scenario Pack 定义每种节目。

首个节目《消失古城的最后七天》：三名 Agent 考古队（领队/铭文学者/环境考古员）带着各自的私有提示，在有限挖掘点与检测预算下发掘一座虚构遗址，提交带证据的历史假说，由机器揭晓真相。4 个 Agent（1 导播 + 3 玩家）可全自动打完一局，web 界面有地图/证据板/揭晓的游戏卡片。

安装（DeepSeek Harness 插件）

dsh plugin --profile web add github:gqy20/dsh-showrunner
dsh --profile web --dump-config | grep -A2 showrunner   # 应出现插件行
dsh web                                                  # 对 agent 说「开始一局考古比赛」

要求：已配置任意 LLM provider（DeepSeek 官方或 pi-ai 路由均可）。发布细节见 [docs/engineering/01-release.md](docs/engineering/01-release.md)。

结构

src/core/     纯 TS 状态机（零 cordis 依赖，可独立单测）
  types.ts      Match / Action / Scenario / GameEvent
  reduce.ts     applyAction：唯一写入口；说话零效力
  projection.ts publicView / playerView：防泄漏的唯一防线
  oracle.ts     假说 vs 隐藏历史的机器对照
  schema.ts     scenario YAML 装载与校验
src/host/     cordis 适配层（待实现，见 src/host/README.md）
scenarios/    Scenario Pack（数据不是代码）
tests/        core 单测
docs/         选题库、平台调研、可行性评审

当前状态

  • [x] core：考古状态机（survey/dig/test/hypothesize/advance）、逐层挖掘、资源扣减、防泄漏投影、oracle 计分
  • [x] scenario：archaeology-lost-city（3 角色、4 区域 × 3 地层、12 证据、2 假说线、隐藏历史）
  • [x] host：玩家 subagent（spawn provider、persona+私有提示、session 身份绑定、advance 时观察分发）+ game_export
  • [x] 端到端验证：4 agent（1 导播 + 3 玩家）完整打完一局（glm-5.3），终局与 game_export 数据零出入
  • [x] 引擎提示：阶段推进时机由状态机判定（LLM 导播会幻觉终局——三局对比见 docs/README 或 session 记录）
  • [x] 自动推进：phaseComplete 级联 advance（core 纯函数，13 测试），一局全程无需导播决策
  • [x] 持久化：~/.dsh/showrunner-match.json 单文件覆写；重启恢复 Match/玩家 childId/导播（第一个 root 接管并唤醒冷恢复玩家）
  • [x] client：GameCard 工具卡（tool.call.toolview 注册 7 个游戏工具，地图网格/证据板/资源条/揭晓区），web 端截图验证渲染
  • [ ] 传话第 0 期内容试验（独立小脚本，不经本引擎）
  • [ ] client：composer 挂资源条 / conversation.view 独立游戏 tab（按需）

测试与构建：npx vitest run（13 用例）、npx tsc --noEmit、../deepseek-harness/node_modules/.bin/tsdown（host lib/ + 浏览器 lib/client.js）。

开发期接入（已持久化到 ~/.dsh/profiles/{web,headless}/cordis.patch.yml，含 GLM-5.3 玩家模型，免 flag）：

cd ../deepseek-harness
pnpm dsh web          # 浏览器 http://127.0.0.1:3080，对 agent 说"开始一局考古比赛"
pnpm dsh --profile headless "<导播 prompt>"   # 命令行跑一局

使用

pnpm install
pnpm test        # vitest，13 个用例
npx tsc --noEmit # 类型检查

文档

见 [docs/README.md](docs/README.md)（文档地图）：research/ 产品调研与评审 · product/ 选题与互动策略 · topics/ 19 个选题（按优先级编号）· engineering/ 发布与工程流程。

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