J-Space-Cognition-Suite

项目详情摘要

J-Space Cognition Suite SV1 Simplified Chinese 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. 1. 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. Keep `SKILL.md`, `modules/`, `references/`, and `scripts/` together; avoid an extra nested `j-space/j-space/` directory. Copy `LICENSE` and `THIRD_PARTY_NOTICES.md` alongside the installed `SKILL.md` when distributing the standalone skill. Use an empty destination to avoid mixing installs. 2. Use Python 3.10 or later to verify the installed directory: 3. Reload the host if it discovers skills only at startup. Select `j-space` through its skill UI. Use `$j-space` or `/j-space` only if that host documents the syntax; otherwise ask it to read the installed `SKILL.md` explicitly. Confirm it can retrieve one routed module and execute the installed controller's `--help` if you need strict gates. 4. Give it the task and its acceptance conditions: R