CC BY-ND 4.0 documentation-only benchmark report on DeepSeek V4 (Flash/Pro) with and without J-Space, evaluated against DeepSeek Harness minimal mode — an ecosystem-level reference with no installable plugin.
DSH integration
Ecosystem-related
Author-claimed
Safety audit
Unaudited
Last verified
2026-08-21
License
CC-BY-ND-4.0
01What can it help you accomplish?
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
02How to install into DeepSeek Harness
Not specified by the author
03DSH integration and capability boundaries
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
04Who is it for? When not to use it?
Good for
- 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
Not for
- 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.
05Compatibility, maintenance and safety notes
- 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
06Frequently asked questions
Is this an installable DeepSeek Harness plugin?
No — the repository is a benchmark observation report (documentation only). The runnable system it describes, J-Space Cognition Suite V3.6, is hosted in a separate repository and is a model-agnostic inference-stage control system that does not modify model weights.
What does the report measure?
Project-level benchmark scores — HLE (with/without tools), Terminal Bench 2.1, NL2Repo, CyberGym, DeepSWE, Toolathlon-Verified, Agents' Last Exam and AutomationBench — for DeepSeek V4-Flash/V4-Pro with and without J-Space, plus reference columns for GLM-5.3, Kimi-K3, Opus-4.8 and Fable 5.
Can the scores be generalized?
No. The README states the scores are project records formed in one evaluation environment; they do not establish cross-model universality or support causal contribution decomposition, and J-Space does not guarantee positive changes for all tasks, models or Harness configurations.
How does it relate to DeepSeek Harness?
The evaluation references the official Harness minimal mode, and the report's 'chain-of-thought diode' diagnosis concerns how DSH minimal-interface conditions correlate with reasoning trajectories. These are black-box engineering observations, not official DeepSeek disclosures.
Can I republish or adapt the content?
The report is licensed CC BY-ND 4.0: attribution is required and derivative works are not permitted. For engineering citations, the README points to the J-Space Cognition Suite V3.6 DOI.
07Related DSH workflows
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08Data and sources
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。
This page is generated from the project’s public documentation, repository metadata and a structured parse of DSH Plugins; last verified on 2026-08-21. Found an error? Submit a correction.