attest

DeepSeek Harness Workflow & Automation High risk

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 pollution). Ships one skill.

训练鉴证——把资产定价的异地标准化训练钉成可复算、可归因、可审计的裁决链，四道闸硬拦（半拉子刷新、账物不符、判不了当通过、污染母本）。附带一个 skill。

How to install

DeepSeek Harness dsh plugin add github:Z-Asset/attest

About

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 …

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Recommendation signals

44 Tool quality · Based on stars, downloads, maintenance, security and docs

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Links

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Basic safety check

Findings: curated 收录但无 npm 包/安装命令；无 license
Sources: curated:awesome-dsh-plugin.com, curated:awesome-dsh-plugin/awesome-dsh-plugin

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