Tiger3807861189/GLM-5.3-Flash-J-Space-Capability-Realization-Report

GLM-5.3-Flash × J-Space capability realization — benchmark presentation of the J-Space Cognition Suite

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简体中文 [](https://doi.org/10.5281/zenodo.21971185) 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. Replace with the Python 3 command available on the host, commonly python, python3, or py -3. Copy the following prompt into an agent that can access files and this repository: 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. A request for brevity changes the outer response length while…

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Inside the original README — Document outline
  1. J-Space Cognition Suite V3.7
  2. Quick start
  3. Option A — manual installation
  4. Option B — ask an AI agent to install it
  5. Use it
  6. Operating modes
  7. Core mechanisms
  8. Optional controller
  9. Generic model integration
  10. Benchmark
  11. 1. Main table
  12. 2. Speed and token efficiency

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What this repository does

GLM-5.3-Flash × J-Space capability realization — benchmark presentation of the J-Space Cognition Suite

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Owner
Tiger3807861189
Primary language
Not reported
Stars
1,021
Forks
63
Open issues + pull requests
3
License
Other
Archived
No
Default branch
main
Created
2026-08-16T11:38:42.000Z
Last push
2026-09-05T05:51:45.000Z

Topics and intended use

Owner-supplied topics: agent-skills, ai-agent, benchmark, deepseek, deepseek-harness, dsh, dsh-plugin

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