GLM-5.3-Flash-J-Space-Capability-Realization-Report

项目详情摘要

J-Space Cognition Suite V3.7 简体中文 J-Space Cognition Suite is a model-agnostic inference-time control system for deep reasoning, long-horizon work, tool use, verification, and recovery. It is packaged as a Skill for cross-platform use, selective loading, and low-friction integration. The suite organizes an agent's accessible working representations into a deliberately managed workspace. It operates through a single entry, nine selectively loaded modules, four supporting references, and an optional standard-library controller for durable task state. J-Space operates at inference time. Model weights and training remain unchanged. Quick start Option A — manual installation 1. Download or clone this repository. 2. Locate the user-level Skills directory used by your AI host. 3. Copy the complete `j-space/` directory into it so that the installed entry is ` /j-space/SKILL.md`. 4. Run the integrity check with an available Python 3 interpreter: Replace ` ` with the Python 3 command available on the host, commonly `python`, `python3`, or `py -3`. 5. Reload the host if it discovers Skills at startup. The directory must remain intact because `SKILL.md` routes to relative paths under `modules/`, `references/`, and `scripts/`. The repository-level `LICENSE` and `THIRD_PARTY_NOTICES.md` remain part of the distribution. Include copies of both when redistributing `j-space/` as a standalone package. Option B — ask an AI agent to install it Copy the following prompt into an agent that can access files and this repository: Use it Invoke the Skill through the mechanism provided by your host—such as its Skill picker, `/j-space`, `$j-space`, or a direct request: The entry gate selects the lightest suitable pass automatically. Operating modes Pass | Suitable work | What loads | `fast` | One st