Tiger3807861189/DeepSeek-V4-J-Space-Capability-Realization-Report
DeepSeek-V4-J-Space-Capability-Realization-Report is a tool for DeepSeek Harness. DeepSeek V4 × J-Space capability realization report — benchmark evidence that J-Space reduces capability-realization loss on DeepSeek V4.
REVIEW SCORECARD
✓ 无Risky检出 · 自动化扫描结果仅供参考，非官方背书
AI DEEP REVIEW
Well-documented inference-time skill suite with a Zenodo DOI, but unverifiable benchmarks and no visible tests or licens
README describes a structured suite with SKILL.md routing, nine modules, and a verify_suite.py integrity check, but no tests, CI, or source code are visible in the provided information.
Installation is manual copy or agent-driven clone with no download-and-execute of remote binaries and no plaintext secrets shown, but the NOASSERTION license and unverifiable provenance keep this at a neutral score.
Addresses a plausible real pain point (capability-realization loss in long-horizon agent tasks) with concrete modes and a state controller, though the claimed benchmark evidence is not independently verifiable from the excerpt.
Last updated 2026-08-23, not archived, and 1034 stars indicate an actively maintained and popular repository.
README provides two install paths, a verification step, mode tables, mechanism descriptions, and full controller command reference, though the install command field is unknown and the excerpt is truncated.
Generated by AI after reading the project README, as a decision aid; neutral scores are given when information is thin. Not an official endorsement.
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前往仓库PROJECT TOPICS
VALIDATION LADDER
FAQ
DeepSeek V4 × J-Space capability realization report — benchmark evidence that J-Space reduces capability-realization loss on DeepSeek V4.
DeepSeek-V4-J-Space-Capability-Realization-Report has 1,034 stars and 66 forks on GitHub, last updated 2026-08-23.
DeepSeek-V4-J-Space-Capability-Realization-Report is listed in the DSH Universe directory as a tool for DeepSeek Harness. This plugin is listed in the DSH Universe directory and covered by its validation pipeline.
CLASSIFICATION EVIDENCE
System reads GitHub Topics first, then compares against the in-site category dictionary and word-root rules. Current match:agent-skills、benchmark。
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