deepseekplugins

DeepSeek Harness plugin

deepseek-dovetail

DeepSeek Harness Cordis bundle for eight OpenCnid Dovetail agent skills

Workflow & Automation
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Source facts

Repository
OpenCnid/deepseek-dovetail
Latest update
Aug 21, 2026
Category
Workflow & Automation
GitHub stars
0
Format
plugin
Catalog evidence
Upstream dsh.bundle evidence
Evidence path
package.json#dsh.bundle
Checked against
0.1.0-rc.8
Upstream check date
2026-08-21

This evidence comes from the upstream catalog. This site has not installed, run, or security-reviewed the plugin.

Install

Start with a prompt that asks an agent to review the GitHub repository and source. Switch to the command if you want to install it yourself.

Copy this prompt into DSH, Codex, or another agent and ask it to review the GitHub repository and source first.

Do not install or run any commands yet. Read this plugin's GitHub repository, README, and relevant source code. Then answer the questions below clearly and directly so I can decide whether it fits my needs:

1. What is this plugin, and what problem does it solve?
2. Who is it for, and what are its typical use cases?
3. How is it used after installation? Include one minimal example.
4. What known limitations or privacy, security, compatibility, or maintenance risks does it have?
5. Give a clear recommendation: recommend, conditionally recommend, or do not recommend, with reasons.

Distinguish statements documented by the repository, inferences from source code, and unknowns. If evidence is insufficient, say so explicitly. Do not guess or simply repeat the README.

GitHub: https://github.com/OpenCnid/deepseek-dovetail
Plugin: deepseek-dovetail
Author: OpenCnid

Check the source files

Read the README and other files from this plugin directory before installing.

File explorer2 files
README.mdSource · read only

<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.

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