A DSH-native plugin that distills what you teach an agent in a session into reviewable native Skills you confirm before they are saved — low-noise capture, no silent rule-making.
DSH integration
Native runtime
Author-claimed
Safety audit
Unaudited
Last verified
2026-09-03
License
MIT
01What can it help you accomplish?
Turn the corrections, constraints and ordered workflows you teach an agent in a DSH session into a reusable Skill
A reviewable native DSH Skill draft (SKILL.md) that is written to the DSH native Skill directory only after you confirm it
DSH users who repeat the same workflows and want the agent to remember taught corrections without re-explaining each session
02How to install into DeepSeek Harness
Prerequisites
- Use DSH Web `0.1.1-rc.2` (the only supported version)
- Install Node.js `^22.19.0 || >=24.0.0`
- Be able to run `dsh` and `pnpm` from your terminal
Installation steps
- 01
Run `dsh plugin --profile web add dsh-run2skill@0.3.1`
$ dsh plugin --profile web add dsh-run2skill@0.3.1
- 02
Restart DSH Web, then open Settings → Plugins and confirm the run2skill card is loaded
Verify the integration
- After restart, open Settings → Plugins and check that the run2skill card appears — that confirms the plugin loaded.
03DSH integration and capability boundaries
Native DSH runtime via the official dsh plugin CLI — `dsh plugin --profile web add` installs it, and it writes confirmed drafts to the DSH native Skill directory
Session learning → native Skill draft
Corrections, long-term constraints and ordered reusable workflows you state during normal DSH work→A complete draft SKILL.md plus its source, scope and filtered conversation evidence, shown for review before anything is saved
Only writes to the DSH native Skill directory after you confirm a draft; drafts are never published without your approvalLow-cost per-turn capture
Each completed DSH turn→A low-noise note; a batch review is triggered only at a bounded batch boundary, when the session goes idle, or when you request save/整理
04Who is it for? When not to use it?
Good for
- DSH users who repeat the same workflows and want the agent to remember taught corrections without re-explaining each session
Not for
- Only DSH Web 0.1.1-rc.2 is supported; it also requires Node.js ^22.19.0 || >=24.0.0 and the dsh and pnpm CLIs on your terminal PATH.
05Compatibility, maintenance and safety notes
- Only DSH Web 0.1.1-rc.2 is supported; it also requires Node.js ^22.19.0 || >=24.0.0 and the dsh and pnpm CLIs on your terminal PATH.
- run2skill has no own model key; it reuses the model already selected in the current DSH session. If that session has no usable model, learning stops and shows the reason instead of switching models silently.
MIT · curated · latest release v0.3.1 (2026-08-28)
06Frequently asked questions
How do I install dsh-run2skill?
Run `dsh plugin --profile web add dsh-run2skill@0.3.1`, then restart DSH Web and open Settings → Plugins to confirm the run2skill card is loaded. It requires DSH Web 0.1.1-rc.2, Node.js ^22.19.0 || >=24.0.0, and the dsh and pnpm CLIs.
Does run2skill save skills without asking?
No. Every draft shows its source, scope and full SKILL.md for review; nothing is written to the DSH native Skill directory until you confirm it. You can ask for a revised draft or discard it.
Do I need to provide a model API key?
No. run2skill reuses the model already selected in your current DSH session. If that session has no usable model, learning stops and tells you why instead of switching models on its own.
Which DSH version is required?
Only DSH Web 0.1.1-rc.2 is supported by the current stable release (v0.3.1).
How does it capture learning without interrupting my work?
It only takes low-cost notes after each turn and never re-runs the model per turn; a batch review is triggered only at a bounded batch boundary, when the session goes idle, or when you ask it to save or tidy up.
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08Data and sources
把你在 DeepSeek Harness（DSH）里明确教给 Agent 的纠正、约束和工作流，整理成可审核、可复用的原生 Skill。
只有确认后，它才会写入 DSH 的原生 Skill 目录。
dsh plugin --profile web add dsh-run2skill@0.3.1
This page is generated from the project’s public documentation, repository metadata and a structured parse of DSH Plugins; last verified on 2026-09-03. Found an error? Submit a correction.
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