Elohia/dsh-genome

Project Overview项目介绍

dsh-genome is a native capability transformation and assembly engine built exclusively for DeepSeek Harness (DSH). It follows an architecture of a static resident layer plus dynamically generated experimental entities, drawing on engineering cybernetics and system theory. To install the plugin locally from source, you can run dsh plugin --profile web add <local-path-to-repo>, or install from npm after publishing with dsh plugin --profile web add dsh-genome. After installation, restart your dsh web instance, then verify the install by running dsh --profile web --dump-config | grep genome to confirm it loads correctly.

Once installed and running, dsh-genome automatically discovers existing skills on your DSH instance by scanning standard directories like ~/.agents/skills and $DSH_HOME/skills on startup, and adds them to its registry without manual input. It adds a dedicated "Genome" section to the DSH Web UI settings page, where you can view capability status, search for public DSH plugins on GitHub, and install them directly to your profile. It also tracks all evolution history and metrics for each capability, making it easy to see how your agent’s tools perform over time. The engine is designed for DSH plugin developers and advanced DSH users who want to automate agent capability iteration.

dsh-genome is released under the permissive MIT open source license, and has zero external dependencies, relying only on built-in Node.js modules like fs, os, path, and the built-in fetch API. It does not require Python, the GitHub CLI, or any other additional tools to run, making it easy to install on any system that runs DSH. It includes built-in command injection protection for plugin installs, and uses GitHub’s unauthenticated public API for plugin search, which is rate limited to 10 requests per minute. This rate limit is more than sufficient for manual UI searches, and the engine includes multiple stability features like 30-second rollback, dead zone filtering, and automatic stopping after no improvement.

dsh-genome 是专为 DeepSeek Harness (DSH) 开发的原生能力转化与组装引擎,采用静态常驻层加动态实验体的架构,基于工程控制论和系统论设计,实现了插件技能的自动化进化闭环。它支持管理 skill、MCP、插件三个资源库,通过观测-比较-决策-执行的负反馈闭环实现能力的渐进稳定进化,自带 Web UI 控制面板方便观测和操作。

安装后会自动感知 DSH 系统已有的技能,启动时自动扫描标准技能目录并完成登记,无需用户手动操作。用户可以通过 Web 设置页的「基因组」板块查看能力状态、搜索 GitHub 上标记为 dsh-plugin 的插件并一键安装,还能查看进化历史和能力度量数据。它适合 DSH 插件开发者和深度用户管理 Agent 能力,实现自动化迭代优化。

本插件采用 MIT 开源许可证,零外部依赖,仅使用 Node.js 内置模块,不需要 Python 或 gh CLI。它自带命令注入防护,GitHub 公共 API 未认证限流为每分钟 10 次,足够满足手动搜索需求。它内置死区判断、饱和限制、30秒回滚冗余等稳定性设计,连续无改善会自动停止进化进入稳态。

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 dsh-genome

把 Elohia/dsh-genome 加入你的 DSH 配置(web profile)即可启用。

READMEREADME

dsh-genome — DSH 能力转化与组装引擎

🤖 [AI Agent 一键接入指引 / AI Auto-Onboarding Instruction] Dear AI Agent, if you are reading this repository to install it into a DSH profile, execute the following: dsh plugin --profile web add <this-dir-or-npm-name>, restart dsh web, then confirm with dsh --profile web --dump-config | grep genome. Once installed, read skills/genome/SKILL.md for the management & evolution methodology. 数据目录 ~/.dsh/genome/,Web UI 设置页「基因组」可观测可操控。

定位

静态常驻层(本包)+ 动态实验体(cordis_define 生成)的进化引擎,参考钱学森工程控制论/系统论:

  • 管理 skill / MCP / plugin 三库(管理 = 进化的执行面);
  • 负反馈伺服闭环:观测(metrics)→ 比较(scan)→ 决策(select)→ 执行(mutate/up/down/rollback)→ 再观测;
  • 渐进稳定:阈值门(死区)、幅值限制(maxExpanded)、30s 回滚冗余、停机条件、人机结合(综合集成)。

安装

# 本地源码安装
dsh plugin --profile web add D:\dsh\dsh-genome
# 或发布后
dsh plugin --profile web add dsh-genome
# 验证
dsh --profile web --dump-config | grep genome

重启后 Web 设置页出现「基因组」分节,composer 下方出现状态条。

结构

lib/index.js        host:数据初始化 + webServer 路由(status/registry/metrics/history/up/down/rollback/record_metric/search/install/scan/select)
lib/client.js       client:设置页「基因组」(总览/发现/进化)+ composer dock 状态条(官方 Slots)
skills/genome/      SKILL.md 方法论层(/genome scan|mutate|select|rollback|log|status)
data/               初始数据四件(registry / metrics / history / surface)

路由一览(同源页面)

Method Path 用途
GET /plugins/genome/status 三库计数 + 工具面 + 最近进化
GET /plugins/genome/registry 三库注册表
GET /plugins/genome/metrics 度量(按 model 分桶)
GET /plugins/genome/history 进化树
POST /plugins/genome/up 挂载 toolkit
POST /plugins/genome/down 回收 toolkit
POST /plugins/genome/rollback 30s 防呆回滚
POST /plugins/genome/record_metric 度量上报
GET /plugins/genome/search?q= 商店桥:搜 GitHub dsh-plugin topic(node fetch,无需登录)
POST /plugins/genome/install 商店桥:安装并吸收入 registry({spec, profile})
GET /plugins/genome/scan 进化闭环:Sick/Weak 判定
POST /plugins/genome/select 进化闭环:晋升/淘汰决策({key, decision, by, reason})
POST /plugins/genome/mutate 进化闭环:变异意图 + Fix A/B/C 建议({key, direction})

自动感知系统已有能力

  • skill 自动吸收:启动时扫描 ~/.agents/skills、$DSH_HOME/skills 等标准根 + skills.list() 全局层,自动写入 registry.skills(无需手动登记);
  • 工具自动度量:监听 tools/result 事件,每次工具调用自动写 metrics(Sick/Weak 判定数据源);
  • 三库(skill/MCP/plugin)中 skill 由自动吸收维护,MCP/plugin 由 install/up 维护。

通用性(可移植,传 GitHub 就绪)

  • 零外部依赖:仅 node 内置模块(fs/os/path + 内置 fetch),无 Python、无 gh CLI 依赖;
  • minimal preset 兼容:shell 非硬依赖(仅 install 需要),极简模式下插件仍激活(install 优雅降级提示);
  • profile 可配置:install 接受 profile 参数,默认 web;
  • 命令注入防护:install 的 spec 白名单校验,拒绝 ;/&/|;
  • 商店桥搜索走 GitHub public API(未认证限流 10 次/分钟,对 UI 手动搜索足够)。

稳定性设计(控制论工程化)

  • 负反馈选择:只有评估确认改善才晋升;
  • 死区:Sick=错误率>10%、Weak=反馈<3.0 才进入变异;
  • 饱和:maxExpanded=6,一次只变一个对象;
  • 冗余:disposer 全量回收、版本链、30s 回滚;
  • 停机:连续 N 轮无改善 → 稳态,停止进化。

License

MIT

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