Tiger3807861189/J-Space-Cognition-Suite
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。
请帮我安装这个 DSH 插件。安装前先完成【兼容性检查 + 安全性检查】,检查通过再动手。
插件:J-Space-Cognition-Suite(Tiger3807861189/J-Space-Cognition-Suite)
仓库:https://github.com/Tiger3807861189/J-Space-Cognition-Suite
本站详情页:https://www.yhbd.top/plugins/tiger3807861189-j-space-cognition-suite/
本站登记:类型 plugin · 归类 多平台兼容工具(非 DSH 原生) · 许可证 Apache-2.0 · ⭐ 2999 · 最近提交 2026-09-14 · 主语言 Python · 未检测到 DSH 插件清单
按下面顺序执行,每步先把结论告诉我,再进入下一步:
【1 兼容性检查】
① 我这边:DSH 版本、Node 版本、操作系统、当前 profile(web / desktop)。
② 读它的 README、package.json、插件 manifest,列出它要求的 DSH 版本 / Node 版本 / 操作系统 / 外部依赖 / 需要另外先装的运行时。
③ 逐条比对,结论只写「满足 / 不满足 / 未知」三种;不满足的给出可行替代方案。
④ 检查是否和我已装的插件冲突:命令名重复、skill / tool 重名、端口占用、重复注册的 MCP server。
【2 安全性检查】
① 仓库可信度:和上面「本站登记」是否一致;star / fork 数、创建时间、最近提交,是否归档或长期停更。
② 安装脚本:逐行看 package.json 的 preinstall / install / postinstall,以及 install.sh、setup.ps1 之类脚本。出现 curl|bash、下载后直接执行、混淆代码、访问与插件功能无关的域名,立刻停下来告诉我,不要继续装。
③ 依赖:列出新增依赖,标出无人维护、或与知名包拼写近似的可疑包(typosquatting)。
④ 权限与副作用:它会读写哪些目录、访问哪些域名、需要哪些 DSH 权限(filesystem / network / shell / clipboard 等),以及怎么卸载和回滚。
⑤ 如果它要求 sudo / 管理员权限,或权限明显超出功能所需,先停下来问我。
【3 安装】
上面两步没有「不满足」和「高危项」时才执行;用官方推荐方式安装,不要自行提权。
【4 汇报】
用表格输出:检查项 / 结论 / 依据 / 是否需要我决策。拿不准的一律写「未知」并说明要我怎么确认——不要猜,也不要替我决定。
Send this message to DSH in your current session: it verifies compatibility and security first (answering met / not met / unknown item by item) and only installs once everything checks out — it will stop and ask you if it finds a high-risk item. The box scrolls; the copy is the full prompt. CLI install commands may not be accurate across systems, so DSH is the safer route.把上面这条消息直接发给当前会话里的 DSH:它会先核对兼容性与安全性(逐条给「满足 / 不满足 / 未知」),确认没问题再安装,有高危项会停下来问你。框内可滚动,复制到的是完整提示词;安装命令不一定准确,发给 DSH 更稳。
- 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
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.
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. KeepSKILL.md,modules/,references/, andscripts/together; avoid an extra nestedj-space/j-space/directory. CopyLICENSEandTHIRD_PARTY_NOTICES.mdalongside the installedSKILL.mdwhen distributing the standalone skill. Use an empty destination to avoid mixing installs.Use Python 3.10 or later to verify the installed directory:
<python-command> <skill-root>/scripts/verify_suite.pyReload the host if it discovers skills only at startup. Select
j-spacethrough its skill UI. Use$j-spaceor/j-spaceonly if that host documents the syntax; otherwise ask it to read the installedSKILL.mdexplicitly. Confirm it can retrieve one routed module and execute the installed controller's--helpif you need strict gates.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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