github scanned Safe content atomic container

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。

Cognium trust score
32%
Tier
Scanned

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.

Scan details: Circle-IR · 2026-09-28 · Appeal

View full trust & usage report →

Metadata

Version
1.0.0
Skill type
atomic
Execution layer
container
Source
GitHub
Author type
human
Last scanned
2026-09-28
Updated
2026-09-28
View source Find related skills

Use via MCP

MCP

Resolve 2origin from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
Swap --scope user for --scope project to commit it to .mcp.json.

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