Tiger3807861189/J-Space-Cognition-Suite

Plugin插件 ⭐ 2,999 Apache-2.0 Prompts & Skills提示词与技能

J-Space is an inference-time workspace and control suite for complex reasoning, repository engineering, coordinated agents, and authorized security analysis. You install one skill, load relevant modules, and keep long-task decisions connected to durable evidence.

catalog descriptioncatalog 简介 / catalog description:J-Space Cognition Suite — a model-agnostic inference-time control suite for deep reasoning, long-horizon work, verification, and recovery. Based on Anthropic's J-space global workspace research.

Project Overview项目介绍

J-Space Cognition Suite is a cross-platform inference-time workspace and control suite for complex reasoning, repository engineering, coordinated agents, and authorized security analysis. It works with multiple AI agent hosts including DeepSeek Harness, Claude Code, and Codex, following the common SKILL.md convention used across these platforms. To install, users copy the full j-space directory into their host’s skills folder, run the included verification script with Python 3.10+ to confirm a correct install, then reload the host to activate the suite. The suite ships 13 modules that share a single routing entry for consistent use across different task types.

The suite offers four operating levels tailored to tasks of different complexity. Low level is for fast, at-a-glance checks of simple bounded tasks, while medium level handles bounded deliverables with a small number of dependent development steps. High level supports multi-file, multi-stage, or persistent work with shared state and evidence checks, and xhigh level adds coordinated multi-agent work for difficult integration tasks. It is designed for production-oriented engineering projects with real work and collaboration needs, not toy demonstration projects, and targets professional developers who need structured tracking of long and complex tasks.

J-Space is released under the open-source Apache 2.0 license, which requires preserving attribution and the included third-party notices when redistributing the code. It requires Python 3.10 or newer to run the verification and control scripts, but no pip-installed dependencies or background services are needed for operation. After installation, users can run the status command to check the suite’s connection to the task directory, and UTF-8 encoding supports both English and Chinese task content. The project does not modify model weights or guarantee performance improvements, and users should check CI results for their specific deployment environment.

J-Space认知套件是一套面向复杂推理、代码仓库工程、多智能体协作和授权安全分析的推理时工作区控制套件,包含13个共享核心逻辑与统一入口的模块,支持包括DeepSeek Harness、Claude Code、Codex在内的多种AI agent平台。用户安装技能包后加载对应模块,即可将长任务决策与持久化证据关联,满足不同复杂度开发任务的处理需求。

该套件针对不同复杂度的任务设计了四个操作等级,低等级用于快速检查简单任务,中等级处理有限依赖的交付任务,高等级处理多文件多阶段的持久工作,极高等级适合需要多智能体协作的复杂集成任务。目标用户是从事生产级工程项目开发,需要处理合同、依赖、验证和恢复需求的开发人员,不适合用于玩具演示类项目。

该套件采用Apache 2.0开源许可证,要求Python 3.10及以上版本运行验证脚本和控制器,不需要额外pip依赖或后台常驻服务。安装时需要将整个j-space目录正确复制到宿主的技能目录,运行验证脚本来确认安装正确,重启宿主后即可选择使用。重新分发时需要完整保留许可证和第三方声明文件。

Pre-install check安装前体检Compatibility · Security兼容性 · 安全性 1 warning1 项注意
  • No DSH plugin manifest detected - it may only carry the dsh-plugin topic, so the install method must be confirmed on the spot未检测到 DSH 插件清单:可能只是打了 dsh-plugin 话题,安装方式要现场确认
  • Not DSH-native: a multi-platform tool that may require Node / Electron or another runtime first非 DSH 原生,是多平台兼容工具:可能要先装 Node / Electron 等运行时
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:Tiger3807861189/J-Space-Cognition-Suite

把 Tiger3807861189/J-Space-Cognition-Suite 加入你的 DSH 配置(web profile)即可启用。

READMEREADME

J-Space Cognition Suite SV1

Simplified Chinese

Concept DOI

J-Space is an inference-time workspace and control suite for complex reasoning, repository engineering, coordinated agents, and authorized security analysis. You install one skill, load relevant modules, and keep long-task decisions connected to durable evidence.

Its thirteen modules share one premise and one routing entry. Standard-library Python scripts persist state, reread actual source text, detect stale maps and evidence, and return blocking results when a required condition is missing. The host supplies tools and agents.

Quick start

You need a host that can load a local SKILL.md and retrieve its supporting files. Python 3.10+ is needed for executable controllers and validation; low/medium can use the documented prose fallback. No pip dependencies or background service are required.

  1. Copy the complete j-space/ directory into your host's Skills directory. Obtain that directory from the host's own configuration; no universal location or invocation syntax applies to every host. Keep SKILL.md, modules/, references/, and scripts/ together; avoid an extra nested j-space/j-space/ directory. Copy LICENSE and THIRD_PARTY_NOTICES.md alongside the installed SKILL.md when distributing the standalone skill. Use an empty destination to avoid mixing installs.

  2. Use Python 3.10 or later to verify the installed directory:

    <python-command> <skill-root>/scripts/verify_suite.py
    
  3. Reload the host if it discovers skills only at startup. Select j-space through its skill UI. Use $j-space or /j-space only if that host documents the syntax; otherwise ask it to read the installed SKILL.md explicitly. Confirm it can retrieve one routed module and execute the installed controller's --help if you need strict gates.

  4. Give it the task and its acceptance conditions:

    Use j-space to modify this repository. Inspect the existing contracts, maintain a
    source-backed map, delegate independent work where useful, and verify the final behavior.
    

Showing the opening section of the README — the full document lives in the repository以上为 README 开头摘要,完整文档在仓库内 · View the full README on GitHub →在 GitHub 查看完整 README →

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