No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by Tiger3807861189 · Agent Tool · ★ 1.0k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is GLM-5.3-Flash-J-Space-Capability-Realization-Report safe to install? View the security audit →
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 Download or clone this repository. Locate the user-level Skills directory used by your AI host. Copy the complete directory into it so that the installed entry is . Run the integrity check with an available Python 3 interpreter: Replace with the Python 3 command available on the host, commonly , , or . Reload the host if it discovers Skills at startup. The directory must remain intact because routes to relative paths under , re
| Stars | 1,023 |
| Forks | 63 |
| Category | Agent Tool |
| Quality Score | 62.3597571310486/100 |
| Open Issues | 4 |
| Last Updated | 2026-09-05 |
| Created | 2026-08-16 |
| Est. Tokens | ~18k |
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GLM-5.3-Flash-J-Space-Capability-Realization-Report is GLM-5.3-Flash × J-Space capability realization — benchmark presentation of the J-Space Cognition Suite. It is categorized as a Agent Tool with 1.0k GitHub stars.
You can find installation instructions and usage details in the GLM-5.3-Flash-J-Space-Capability-Realization-Report GitHub repository at github.com/Tiger3807861189/GLM-5.3-Flash-J-Space-Capability-Realization-Report. The project has 1.0k stars and 63 forks, indicating an active community.
The top alternatives to GLM-5.3-Flash-J-Space-Capability-Realization-Report on Agent Skills Hub include wesight, modsearch, memsearch. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: