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本象协议 Benxiang · 一源万影：保存本象，按需投影。面向 AI 的持久对象表示层——AI 只提交语义事务，确定性编译器校验后才落地，每个字段都能回答「凭什么」。A2 消融实测（2026-08-13，README §5）：唯一幸存的分类性主张是结构性的——提示词结构上产不出证据链；A3 全套机制给 15.0%/27.5% 受测字段可溯源证据，所有纯提示词基线均为 0%（A0→A2 +41.3pt 显著 p=3.3e-5，A2→A3 +2.5pt 不显著）。四方言共用核心仅加 4 行；87 条语言无关一致性向量 + 两份实现。
2origin is an MCP server entry in ChatHome Skills, sourced from GitHub MCP Search and scored 46/100. 本象协议 Benxiang · 一源万影：保存本象，按需投影。面向 AI 的持久对象表示层——AI 只提交语义事务，确定性编译器校验后才落地，每个字段都能回答「凭什么」。A2 消融实测（2026-08-13，README §5）：唯一幸存的分类性主张是结构性的——提示词结构上产不出证据链；A3 全套机制给 15.0%/. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding 2origin to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
git clone https://github.com/dongsheng123132/2origin.gitReview the upstream source before running this command.
Scan coverage: Install metadata and repository README.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
{
"fullName": "dongsheng123132/2origin"
}本象协议 Benxiang · 一源万影：保存本象，按需投影。面向 AI 的持久对象表示层——AI 只提交语义事务，确定性编译器校验后才落地，每个字段都能回答「凭什么」。A2 消融实测（2026-08-13，README §5）：唯一幸存的分类性主张是结构性的——提示词结构上产不出证据链；A3 全套机制给 15.0%/27.5% 受测字段可溯源证据，所有纯提示词基线均为 0%（A0→A2 +41.3pt 显著 p=3.3e-5，A2→A3 +2.5pt 不显著）。四方言共用核心仅加 4 行；87 条语言无关一致性向量 + 两份实现。