DeepSeek Harness 插件

deepseek-dovetail

DeepSeek Harness Cordis bundle for eight OpenCnid Dovetail agent skills(英文原文)

跳到安装方式

来源信息

GitHub 仓库
OpenCnid/deepseek-dovetail
最近更新
2026年8月21日
分类
自动化与任务
GitHub stars
0
载体类型
plugin
目录证据
上游声明已找到 dsh.bundle
证据路径
package.json#dsh.bundle
核对版本
0.1.0-rc.8
上游核对日期
2026-08-21

该证据由上游目录提供。本站没有安装、运行或安全审核这个插件。

安装

默认先复制一段 Prompt,让 Agent 读 GitHub 仓库和源码;需要自己装时再切到命令。

复制这段 Prompt,发给 DSH、Codex 或其他 Agent,让它先读 GitHub 仓库和源码。

请先不要安装或执行任何命令。阅读这个插件的 GitHub 仓库、README 和关键源码,然后用清楚、直接的方式回答以下问题,帮助我判断它是否适合我的需求:

1. 这个插件是什么,解决什么问题;
2. 适合哪些用户和典型使用场景;
3. 安装后如何使用,并给出一个最小使用示例;
4. 有哪些已知限制,以及隐私、安全、兼容性或维护风险;
5. 给出“推荐 / 有条件推荐 / 不推荐”的明确建议和理由。

请区分仓库明确说明、根据源码推断和未知信息。证据不足时请明确说明,不要猜测或照抄 README。

GitHub:https://github.com/OpenCnid/deepseek-dovetail
插件名:deepseek-dovetail
作者:OpenCnid

检查来源文件

安装前先看这个插件目录里的 README 和其他文件。

文件资源管理器2 个文件
README.md来源说明 · 只读预览

<p align="center"> <a href="https://github.com/OpenCnid/deepseek-dovetail"> <img src="docs/assets/deepseek-dovetail.svg" alt="DeepSeek Dovetail — eight agent skills in one Cordis bundle for DeepSeek Harness" width="100%" /> </a> </p>

<p align="center"> <img alt="DeepSeek Harness v0.1.0-rc.7" src="https://img.shields.io/badge/DeepSeek_Harness-v0.1.0--rc.7-4968ff?style=flat-square" /> <img alt="Cordis 4.0.1" src="https://img.shields.io/badge/Cordis-4.0.1-31c48d?style=flat-square" /> <img alt="Eight skills" src="https://img.shields.io/badge/agent_skills-8-f0a34a?style=flat-square" /> <img alt="Public source" src="https://img.shields.io/badge/source-public-8b5cf6?style=flat-square" /> </p>

deepseek-dovetail brings eight OpenCnid Dovetail workflows to DeepSeek Harness as one out-of-tree Cordis bundle. DSH remains the sole agent runtime; this package mounts an immutable, package-local skill tree through DSH's published filesystem provider.

Why use it?

  • One install, eight workflows: prompting, skill authoring, delegation, evaluation, self-play, agent steering, and session handoff.
  • Small runtime seam: one Cordis row and one effect-owned filesystem provider—no replacement agent loop or skill registry.
  • Quiet on load: no network access, update check, script execution, watcher, or writes to project/user skill homes.
  • Reproducible: upstream content is commit-pinned and hash-locked; package, integration, UI, and bounded behavioral evidence live in the repository.

Quick start

Requirements: DeepSeek Harness v0.1.0-rc.7, Node.js ^22.19.0 || >=24, and pnpm 11.x.

git clone https://github.com/OpenCnid/deepseek-dovetail.git
cd deepseek-dovetail
corepack pnpm install --frozen-lockfile
corepack pnpm run build
corepack pnpm run verify
corepack pnpm run pack:artifact

Install the generated tarball into any DSH profile:

dsh plugin --profile web add {ABSOLUTE_PATH}/artifacts/deepseek-dovetail-0.1.0.tgz
dsh --profile web --dump-config

Replace web with another profile name as needed. Remove the bundle with:

dsh plugin --profile web remove deepseek-dovetail

In a DSH session, type / to browse skills or invoke one directly, for example /prompt-engineering. Six skills are model-discoverable; spark-steering and upsum are intentionally user-only.

Skill gallery

Each original SVG gives the workflow a visual shorthand. Expand Real DSH output for an example generated through the installed bundle in the pinned DSH web profile—not a mockup. Six skills are model-discoverable and slash-invocable; spark-steering and upsum are intentionally slash-only.

<table> <tr> <td width="50%" valign="top"> <h3><code>prompt-engineering</code></h3> <img src="docs/assets/skills/prompt-engineering.svg" alt="A rough prompt refracted into a precise structured instruction" width="100%" /> <p>Turns a vague request into a precise instruction schema with explicit constraints and output shape. <code>/prompt-engineering</code></p> <details><summary><strong>Real DSH output</strong></summary><img src="docs/assets/examples/prompt-engineering.png" alt="Prompt Engineering producing a structured API review prompt in DeepSeek Harness" width="100%" /></details> </td> <td width="50%" valign="top"> <h3><code>hypershot-protocol</code></h3> <img src="docs/assets/skills/hypershot-protocol.svg" alt="An empty structural frame that transfers form without content" width="100%" /> <p>Builds examples that transfer structure without contaminating the target with task-specific content. <code>/hypershot-protocol</code></p> <details><summary><strong>Real DSH output</strong></summary><img src="docs/assets/examples/hypershot-protocol.png" alt="Hypershot Protocol creating a contamination-free incident postmortem frame in DeepSeek Harness" width="100%" /></details> </td> </tr> <tr> <td width="50%" valign="top"> <h3><code>better-skill-creator</code></h3> <img src="docs/assets/skills/better-skill-creator.svg" alt="A skill specification forged into a validated reusable module" width="100%" /> <p>Authors compact DSH skills, validates their structure, and plans clean-baseline comparison. <code>/better-skill-creator</code></p> <details><summary><strong>Real DSH output</strong></summary><img src="docs/assets/examples/better-skill-creator.png" alt="Better Skill Creator drafting a minimal release-note sanitizer skill in DeepSeek Harness" width="100%" /></details> </td> <td width="50%" valign="top"> <h3><code>subagent-composition</code></h3> <img src="docs/assets/skills/subagent-composition.svg" alt="A routing gate deciding whether and how work should branch to agents" width="100%" /> <p>Applies a delegation gate, then chooses cold, forked, foreground, or background execution. <code>/subagent-composition</code></p> <details><summary><strong>Real DSH output</strong></summary><img src="docs/assets/examples/subagent-composition.png" alt="Subagent Composition declining unnecessary delegation for a documentation typo in DeepSeek Harness" width="100%" /></details> </td> </tr> <tr> <td width="50%" valign="top"> <h3><code>judge-composition</code></h3> <img src="docs/assets/skills/judge-composition.svg" alt="Four differently blinded judges surrounding an evidence core" width="100%" /> <p>Designs separately blinded grounding, coherence, corroboration, and audit seats. <code>/judge-composition</code></p> <details><summary><strong>Real DSH output</strong></summary><img src="docs/assets/examples/judge-composition.png" alt="Judge Composition designing a four-seat cache latency evaluation panel in DeepSeek Harness" width="100%" /></details> </td> <td width="50%" valign="top"> <h3><code>self-play</code></h3> <img src="docs/assets/skills/self-play.svg" alt="Controlled gatherer adversary evaluator and judge roles inside a test arena" width="100%" /> <p>Tests unresolved designs through preregistered, visibility-controlled specialist roles. <code>/self-play</code></p> <details><summary><strong>Real DSH output</strong></summary><img src="docs/assets/examples/self-play.png" alt="Self-Play designing a controlled routing-threshold evaluation in DeepSeek Harness" width="100%" /></details> </td> </tr> <tr> <td width="50%" valign="top"> <h3><code>spark-steering</code></h3> <img src="docs/assets/skills/spark-steering.svg" alt="A five-axis SPARK compass identifying the constrained agent capability" width="100%" /> <p>Diagnoses the shortest Skills, Personalities, Approaches, Resources, or Knowledge axis before intervention. <code>/spark-steering</code> only</p> <details><summary><strong>Real DSH output</strong></summary><img src="docs/assets/examples/spark-steering.png" alt="SPARK Steering diagnosing a shallow incident report as a skills-axis gap in DeepSeek Harness" width="100%" /></details> </td> <td width="50%" valign="top"> <h3><code>upsum</code></h3> <img src="docs/assets/skills/upsum.svg" alt="A changed session compressed into durable records at descending resolutions" width="100%" /> <p>Closes changed sessions with a durable record, compressed summary, open-work projection, and checks. <code>/upsum</code> only</p> <details><summary><strong>Real DSH output</strong></summary><img src="docs/assets/examples/upsum.png" alt="Upsum previewing a read-only documentation closeout in DeepSeek Harness" width="100%" /></details> </td> </tr> </table>

The captures use the assembled deepseek-dovetail@0.1.0 profile with GPT-5.6 Terra. They are illustrative runs, not universal evaluation claims; exact prompts and capture conditions are recorded in [the example manifest](docs/assets/examples/README.md). A machine-readable [UI snapshot](evidence/assembled/web-ui.snapshot.json) covers all eight catalog entries.

Architecture

DSH profile
  -> deepseek-dovetail bundle row
  -> deepseek-dovetail Cordis plugin
  -> @deepseek-ai/dsh-skill-filesystem
  -> package-local dist/skills
  -> existing DSH catalog, agents, tools, sessions, and UI

The provider is named dovetail, excludes default roots, disables watching, and resolves its bundled directory from installed code. Project and user skill roots keep their normal precedence.

Work on the bundle

Edit DSH adaptations in ports/dsh/; never hand-edit pinned vendor/dovetail files or generated dist/skills output. See [AGENTS.md](AGENTS.md) for repository rules and the complete validation workflow.

corepack pnpm run typecheck
corepack pnpm run lint
corepack pnpm run test
corepack pnpm run build
corepack pnpm run verify
corepack pnpm pack --dry-run

To refresh the pinned upstream subset from an exact, clean checkout:

corepack pnpm run sync:upstream -- --source {ABSOLUTE_PINNED_DOVETAIL_CHECKOUT}

The sync fails closed on a wrong commit, dirty source, symlink, path escape, unclassified runtime file, or manifest/hash mismatch.

Evidence and deeper documentation

  • [COMPATIBILITY.md](COMPATIBILITY.md) — pinned host contracts and the skill-by-skill port matrix.
  • [evidence/REPORT.md](evidence/REPORT.md) — package, profile, UI, removal, and behavioral acceptance ledger.
  • [evidence/behavioral/LIVE_REPORT.md](evidence/behavioral/LIVE_REPORT.md) — bounded real-provider comparisons and known gaps.
  • [THIRD_PARTY_NOTICES.md](THIRD_PARTY_NOTICES.md) — provenance, retained licenses, notices, and code-license status.

Public-source status and limitations

This GitHub repository is public. The npm manifest deliberately remains private: true, no npm package has been published, and no owner-selected public license currently covers the new adapter/build/test code. Public visibility does not imply a license grant; review [THIRD_PARTY_NOTICES.md](THIRD_PARTY_NOTICES.md) before reuse or redistribution.

Initial assembled acceptance is Windows-only. The changed/unchanged live upsum lifecycle remains UNMEASURED on the pinned Windows restricted-subprocess path, and the recorded behavioral comparisons are bounded evidence—not universal effectiveness claims.