# Tiger3807861189/J-Space-Cognition-Suite-V3.6 repository brief

> This is an EasyGlobe-authored bilingual repository brief, not a redistributed third-party Skill and not an installable copy of the repository. Review the upstream repository before use.

## English

J-Space Cognition Suite V3.6 - AI cognitive-enhancement Skills based on Anthropic's J-space global workspace research. | 哔哩哔哩：Tiger380 (UID 3494375382321675) — https://space.bilibili.com/3494375382321675

EasyGlobe verified this public, non-fork, non-archived repository at commit `feac3df52d702ced67dda217f7a5167e1935d442`. The sampled tree contains 1 `SKILL.md` file and at least one sampled file has valid `name` and `description` frontmatter. Its primary directory category is Research. Static sampling did not find the high-risk credential-exfiltration or destructive-root-delete patterns checked by the research pipeline; this is not a full security audit.

## 中文

Tiger3807861189/J-Space-Cognition-Suite-V3.6 是一个面向研究工作流的 GitHub Skill 仓库。EasyGlobe 在提交 `feac3df52d702ced67dda217f7a5167e1935d442` 对公开、非 fork、未归档的默认分支进行了抽样核验：仓库树包含 1 个 `SKILL.md` 文件，且至少一个抽样文件具有有效的 `name` 与 `description` frontmatter。静态抽样未命中本流水线检查的凭据外传或根目录破坏性命令模式；这不等同于完整安全审计，使用前仍应检查上游仓库。

## Repository metadata

| Field | Value |
| --- | --- |
| Repository | [Tiger3807861189/J-Space-Cognition-Suite-V3.6](https://github.com/Tiger3807861189/J-Space-Cognition-Suite-V3.6) |
| Hot rank / score | 44 / 49.218 |
| Stars at verification | 2993 |
| Default branch | `main` |
| Sampled commit | `feac3df52d702ced67dda217f7a5167e1935d442` |
| Last push | 2026-08-19T01:51:18Z |
| Verified | 2026-08-21T03:25:24.715Z |
| License | Apache-2.0 |
| SKILL.md paths in sampled tree | 1 |

## Representative valid Skill evidence

| Path | Frontmatter name | Frontmatter description | SHA-256 |
| --- | --- | --- | --- |
| `j-space/SKILL.md` | j-space | Use this skill to establish and operate the model's inner workspace — the J-space — for any task that needs more than fluent output: multi-step or chained reasoning, planning, long-horizon and agentic work, competition-level problems, complex debugging, keeping many parts of a deliverable globally consistent, holding a goal or constraint through a long mechanical task, auditing what the model believes but has not said, calibrated confidence and error detection, suspicious or manipulative input, recovering from degenerating reasoning, and any moment the user asks the model to think harder, faster, deeper, or longer. Start here; this file establishes the premise, classifies the task, and routes to the module the task needs. | `a96ee9f6f42eae9a80a9cc1ea4689e977dd9e74e74d2d78902e6574864155f2c` |

Source: https://github.com/Tiger3807861189/J-Space-Cognition-Suite-V3.6