deepseek-harness
deepseek-ai
DeepSeek Harness: Everything is a Plugin.
PROJECT TOPICS
INSTALL REFERENCE
dsh plugin --profile web add github:RagnarPitla/dsh-field-guide
该命令指向仓库当前默认分支;尚无绑定当前 commit 的完整验证结果。
PROJECT README
An independent, evidence-marked field guide to DeepSeek Harness (dsh), plus a working
plugin built and verified against it.
Read the guide - or start at the overview, which summarises the method and the six corrections.
DeepSeek Harness is a plugin-based agent harness published by DeepSeek. It is moving fast - eight release candidates shipped in the week this was written - and most of what circulates about it is compressed from a handful of secondary sources, some of it wrong.
This repository is an attempt to do better on one narrow axis: say how each claim was checked. Every factual statement in the guide carries a badge marking it as verified by running the shipped binary, read from source, or taken from an external source. Where a widely repeated claim turned out to be wrong, the correction is shown with its citation.
It is a photograph, not a map. The guide is pinned to commit b150a55 of 2026-08-21
(version 0.1.1-rc.2) and dated 2026-08-24. It is not maintained against later releases.
| Path | What it is |
|---|---|
docs/guide.html |
The field guide. A single self-contained HTML file with no external CSS, JS or fonts, so it opens offline by double-click |
docs/index.html |
The site landing page: the method, the six corrections, and the gaps, in one screen |
plugins/dsh-plugin-dev/ |
A working dsh plugin that teaches an agent how to extend dsh, verified against the real skill registry |
dsh is, at accurate scale - a real web session boots 104 active plugins, not the 227 packages usually quotedisolate realm rule that makes a second session collide with the firstdsh-plugin-dev ships two skills that teach an agent how to extend
the harness it is running inside - writing and installing a plugin, and debugging what a
profile actually loaded.
dsh plugin --profile <profile> add ./plugins/dsh-plugin-dev
Its content is the one body of knowledge that was verified end to end while writing the guide, which is why it exists: the skills are accurate because each claim in them was executed rather than read.
Verification is reproducible:
cd plugins/dsh-plugin-dev && node verify.mjs
This mounts the real @deepseek-ai/dsh-skill registry on a bare Cordis context and asserts
that both skills are discoverable, that bodies load with frontmatter stripped, and that the
config fields are honoured.
If something here is wrong, please open an issue. Claims are pinned to a commit and marked with how they were checked specifically so that they can be argued with.
Known gaps are listed in the guide's final section. The largest: the binary exercised was
0.1.0-rc.7 rather than the checkout's 0.1.1-rc.2, and no model was ever invoked, so
nothing here describes how the agent behaves on a real task - only how the system is
assembled.
This is a deep-dive on one harness. It is deliberately not a general treatment of harness design - section 01 covers only enough of that to make the DeepSeek-specific material legible, and stops there.
MIT. See LICENSE.
Independent and unofficial. Not affiliated with, endorsed by, or sponsored by DeepSeek. "DeepSeek Harness" is used descriptively to identify the software described. Quoted documentation and source excerpts remain the property of their respective authors and are reproduced under the terms of the project's MIT licence for the purpose of commentary and instruction.
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