How tiger3807861189/glm-5.3-flash-j-space-capability-realization-report works
J-Space is a model-agnostic inference-time reasoning Skill. Its documented workflow is: a user invokes the Skill, the entry gate selects a lightweight or deeper operating pass, and selectively loaded mechanisms support the task; for long-running work, an optional controller records durable state. The supplied tree lists only repository-level files, while the README describes internal paths and capabilities. Accordingly, internal components use only those documented paths, and unspecified module/reference contents and wiring are omitted.
Components 15
Skill runtime
- Skill entry gate
- Selective loading
- Reasoning modules
- Supporting references
Reasoning mechanisms
- Managed workspace
- Broadcast hub
- Dense Track
- Bridge reasoning
- Metacognitive control
- Empirical verification
- Agency and echo
Task state
- State controller
- Task ledger
Other components
- User or host
- Task response
Connections 14
- User or host → Skill entry gate: invokes
- Skill entry gate → Selective loading: selects pass
- Selective loading → Reasoning modules: loads selectively
- Selective loading → Supporting references: loads selectively
- Reasoning modules → Managed workspace: manage representations
- Reasoning modules → Broadcast hub: may apply
- Reasoning modules → Dense Track: may apply
- Reasoning modules → Bridge reasoning: may apply
- Reasoning modules → Metacognitive control: may apply
- Reasoning modules → Empirical verification: may apply
- Reasoning modules → Agency and echo: may apply
- Reasoning modules → Task response: supports response
- Skill entry gate → State controller: loop state
- State controller → Task ledger: writes and reads