CC BY-ND 4.0 纯文档基准观察报告，记录 DeepSeek V4（Flash/Pro）在有无 J-Space 情况下的基准分数，评测参照 DeepSeek Harness 极简模式——属于生态层参考资料，不含可安装插件。
DSH 适配
生态相关
作者声明
安全审计
未审计
最后核验
2026-08-21
许可证
CC-BY-ND-4.0
01它能帮你完成什么？
Understand how DeepSeek Harness minimal-mode interface conditions correlate with coding-agent reasoning trajectories (the 'chain-of-thought diode' behavior)
Operational definition of short-intuition vs long-reasoning trajectory modes, a structural-drawback table for each side, and the minimal-interface overfitting engineering diagnosis
DeepSeek Harness users and agent engineers debugging why sessions lock into overly short or overly long reasoning chains
Assess whether J-Space reduces capability-realization loss on DeepSeek V4 before adopting it
Project-level benchmark score tables (HLE, Terminal Bench 2.1, NL2Repo, CyberGym, DeepSWE, Toolathlon-Verified, Agents' Last Exam, AutomationBench) for V4-Flash/V4-Pro with and without J-Space, plus cross-model reference columns and explicit applicability boundaries
Engineers evaluating J-Space Cognition Suite V3.6 on DeepSeek models
02如何接入 DeepSeek Harness？
作者未说明
03DSH 适配与能力边界
Documentation-only benchmark observation report whose evaluations reference DeepSeek Harness minimal mode; no installable plugin — the runnable system it describes lives in the separate J-Space Cognition Suite V3.6 repository
Benchmark score records
DeepSeek V4-Flash-0731 / V4-Pro-0813 with and without J-Space, plus GLM-5.3, Kimi-K3, Opus-4.8 and Fable 5 reference columns→Comparative score tables across HLE (with/without tools), Terminal Bench 2.1, NL2Repo, CyberGym, DeepSWE, Toolathlon-Verified, Agents' Last Exam and AutomationBench, with evaluation-context and applicability caveats
Chain-of-thought diode analysis
Observed DeepSeek agent sessions under DSH minimal-mode interface conditions→Operational trajectory-mode definitions, a structural-drawback table for short-intuition vs long-reasoning sessions, and the minimal-interface overfitting engineering diagnosis
Cross-solution relationship map
dsh-anchored-standard, dsh-routing-suite and J-Space public materials→A layering of the three approaches as entry restoration / entry selection / continuous task control, with an explicit disclaimer that no combined experiment or effect ranking is claimed
04适合谁？何时不该用？
适合
- DeepSeek Harness users and agent engineers debugging why sessions lock into overly short or overly long reasoning chains
- Engineers evaluating J-Space Cognition Suite V3.6 on DeepSeek models
不适合
- The repository is a documentation record, not installable software; the runnable control system it describes is the separate J-Space Cognition Suite V3.6 project, and the report itself provides no installation steps.
- Scores are project-level records formed in one evaluation environment; they do not establish cross-model universality, do not support causal contribution decomposition, and J-Space does not guarantee positive changes for all tasks, models or Harness configurations.
05兼容性、维护与安全提示
- The repository is a documentation record, not installable software; the runnable control system it describes is the separate J-Space Cognition Suite V3.6 project, and the report itself provides no installation steps.
- Scores are project-level records formed in one evaluation environment; they do not establish cross-model universality, do not support causal contribution decomposition, and J-Space does not guarantee positive changes for all tasks, models or Harness configurations.
- Content is licensed CC BY-ND 4.0: attribution is required and derivative works are not permitted.
CC-BY-ND-4.0 · documentation repo, last pushed 2026-08-18, no releases
06常见问题
这是一个可以安装的 DeepSeek Harness 插件吗？
不是——本仓库是一份基准观察报告（纯文档）。报告所描述的可运行系统 J-Space Cognition Suite V3.6 托管在另一个仓库中，它是一套在推理阶段运行的模型无关控制系统，不修改模型权重。
报告测量了什么？
项目级基准分数——HLE（有/无工具）、Terminal Bench 2.1、NL2Repo、CyberGym、DeepSWE、Toolathlon-Verified、Agents' Last Exam 与 AutomationBench——覆盖 DeepSeek V4-Flash/V4-Pro 在有无 J-Space 两种条件下的表现，并附 GLM-5.3、Kimi-K3、Opus-4.8 与 Fable 5 参考列。
这些分数可以推广吗？
不能。README 明确说明分数是单一评测环境下形成的项目记录，不足以建立跨模型普遍性，也不支持精确的因果贡献分解；J-Space 也不保证对所有任务、模型或 Harness 配置产生正向变化。
它与 DeepSeek Harness 有什么关系？
评测参照官方 Harness 极简模式，报告中的「思维链二极管」诊断讨论的是 DSH 极简接口条件与推理轨迹之间的相关性。这些属于黑盒工程观察，不是 DeepSeek 官方披露。
可以转载或改编报告内容吗？
报告采用 CC BY-ND 4.0 许可：要求署名，不允许演绎作品。工程引用请以 README 中给出的 J-Space Cognition Suite V3.6 DOI 为准。
07相关的 DSH 工作流
openviking
作者 volcengine
为 AI 智能体打造的自进化上下文数据库，统一智能体记忆、知识 RAG 与技能。
colleague-skill
作者 titanwings
将冰冷的离别化为温暖的 Skill，欢迎加入数字生命1.0！Transforming cold farewells into warm skills? It's giving rebirth era. Welcome to Digital Life 1.0. 🫶
archify
作者 tt-a1i
为编码智能体生成美观可验证的架构图、时序图与数据流图，输出自包含 HTML，支持动效与清晰导出。
learn-harness-engineering
作者 walkinglabs
Harness 工程新手教程，从 0 到 1 系统学习智能体工作流框架。
08数据与来源
J-Space 在 DeepSeek 上的项目评测参照官方 Harness 极简模式。J-Space 通过工作空间路由、状态连续性、验证与恢复参与推理时流程。
本页记录外部项目已经公开的工程观察、J-Space 使用的操作性术语、项目级 Benchmark 分数及其适用边界。它不是研究论文，非学术性质，不提供模型内部机制证明、形式化判定方法、消融设计或因果贡献分解。
页面基于项目公开文档、仓库元数据和 DSH Plugins 的结构化解析生成；最后核验于 2026-08-21。发现错误？提交更正。