attest

Manifest valid

Training attestation — reproducible, attributable, auditable off-site standardized training for asset pricing. Hard-gates four failure modes (half-refresh, hash mismatch, unknown-read-as-pass, master

hasBundlePatch

attest — 训练鉴证

把可移动三件套(X/ + Y/ + train_from_xy.py)的异地标准化训练,钉成一条可复算、可归因、可审计的裁决链。

它是什么

attest 不训练模型、不改一行策略代码。它做的事,是让一次训练可信到可以上线:

把 Z 母本包封成 zip + DISPATCH.json(sha1 实算,不抄声明)发到异地;
异地(只有 Jupyter、操作者不懂内部细节)跑 doctor → train → eval → collect;
结果封回本机,由人独断 promote。

四道闸硬拦四类事故:

闸	拦的事故
锚点一致性	半拉子刷新(MANIFEST 与 Y_meta 不是同一天)
sha1 账物对账	账物不符(声明哈希与实算不符)
三态口径	「判不了」被读成「通过」
母本守卫	手滑污染 Z/D 线上目录

铁律:「判不了」绝不等于「通过」。这是全套防呆里最容易被人绕过去的一条。

结构(双轨单源)

本包同时承载两套结构,SKILL.md 只维护一份(plugins/attest/skills/):

Claude Code 插件 — .claude-plugin/marketplace.json + plugins/
DSH/npm 插件 — package.json + cordis.patch.yml + src/index.ts

安装

dsh plugin --profile <name> add @z-asset/attest

用法

异地侧五个动词(详见 plugins/attest/skills/attest/README_FIRST.md):

python pt.py doctor --bundle <包目录>                      # 体检,不通过就停
python pt.py train  --bundle <包目录> --mode smoke          # CPU 冒烟
python pt.py train  --bundle <包目录> --mode week --commit  # 真训练(要 GPU)
python pt.py eval   --bundle <包目录> --workdir <空目录>     # 评估与裁决
python pt.py collect --workdir <空目录> --out .             # 打包回传

本机侧打包发出:

python scripts/pt_pack.py pack --bundle <Z包目录> --out <本地目录>

边界

不写 Z 母本、不改任何策略包、不改 _sync 生成器、不改 D:\ZML\trading\*。promote 只在本机、由人独断。

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