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」。ShadowBench-W 实测（Run #27，修复探询后，各 n=6）：W3 状态准确率 95.8% vs 裸模型 52.1% vs 向量 RAG 58.3%（p=0.0024）；状态层的增量在跨全书累积、从不在任何一段文字里被陈述的状态上。三方言共用核心仅加 4 行；68 条语言无关一致性向量 + 两份实现。
- capability exposure inferred + 16
- trust mitigators mixed − 3
inferred mixed
The A–E grade is our heuristic synthesis — a "review this" prompt, not a verdict. Each factor is tagged by what backs it: attested (a verifiable record), reported (a third party's claim), or inferred (our own heuristic, e.g. permissions). See methodology.
graded 3m ago · see ecosystem CVEs →
No known CVEs for this server.
No tool-safety findings — heuristic detectors run on the compute-risk cadence; a finding appears when a tool trips a rule.
[](https://mcpobservatory.com/servers/github:dongsheng123132/2origin/security) Heuristic, inferred signals — false positives (legitimately powerful tools, forks, language ports) are expected. Treat each as "review this", not a verdict. See the ecosystem-wide picture on the security hub, or the fleet security of dongsheng123132.