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Skill Workshop — DeepSeek Harness 插件(DSH Plugin)
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dsh-skill-workshop

Skill Workshop

从日常工作自动提炼、发布和更新技能,按使用情况整理受管技能;也支持手工编辑与导入。

插件会安装到这里;不确定时保持 web。

npx -y @deepseek-ai/dsh plugin --profile web add github:Kerberos255/dsh-skill-workshop#33f22305dbcd0945724b0166c5d2fc1f42958ba6
README兼容性版本

兼容性与来源证明

Skill Workshop 以 dsh-skill-workshop 发布,当前版本为 0.1.11。Plugin Hub 会校验它的 manifest,并保存精确安装来源,便于复现安装结果。

DSH 兼容范围
*
运行环境
web
发布来源
github
Registry 更新时间
2026/10/12

版本

0.1.11stable
2026/10/12
0.1.10stable
2026/10/12
0.1.9stable
2026/10/11
查看其余 4 个版本收起版本
0.1.6stable
2026/10/11
0.1.5stable
2026/10/9
0.1.4stable
2026/10/9
0.1.3stable
2026/10/8

相关插件

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最新版
0.1.11
DSH
*
HMR
重启进程
Tree shaking
未声明可安全裁剪
解包体积
未提供
文件数
未提供
Surface
web
许可证
MIT
发布源
github
GitHub
★ 0
周下载
0
最近提交
2026/10/14
查看源码 ↗
README Badge

点击下方 Badge 复制 Markdown,粘贴到 README 即可。

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README

Skill Workshop for DeepSeek Harness

简体中文 · DeepSeek Harness · Security

A native DSH skill authoring and self-learning workshop. Import, edit, and manage SKILL.md-based skills, or let completed tasks produce candidate procedures that can be promoted automatically after evidence checks.

Features

  • Browse, create, update, and import native DSH skills from Markdown, directories, and supported skill archives.
  • Learn reusable workflows from completed tasks without granting a model direct write access to the published skill root.
  • Unattended auto-promotion by default: the same skill needs evidence from at least two distinct successful task turns, each linked to genuine user requests and assistant results.
  • Guard against uncontrolled growth: bounded candidates and managed skills, stale-candidate expiry, history pruning, and retirement of unused workshop-owned skills.
  • Protect manual edits and externally managed skills from automated overwrite; recover interrupted publications using durable records and hash checks.

Install

Requires native DSH skill and session services; runtime and peer requirements are listed in package.json.

dsh plugin --profile desktop add github:Kerberos255/dsh-skill-workshop

Replace the profile name as needed, pin a commit if desired, and restart DSH after installing or upgrading code.

Quick start

  1. Open Settings → Plugins → Skill Workshop. Choose the project skill root (.dsh/skills) or user skill root (DSH_HOME/skills).
  2. Run regular DSH tasks. Eligible successful turns may generate skill candidates; short, failed and interrupted tasks are skipped.
  3. Once a candidate has independent evidence from two distinct turns and passes checks, the workshop publishes it without asking for per-skill manual confirmation.
  4. Inspect candidate/managed counts and customize limits, or use the editor/import screen for manual skills. Manual import and external edits retain their review flow.

Growth-control defaults

BoundDefault
Pending auto-learned candidates per workspace32
Workshop-managed skills per workspace64
Candidate expiry without fresh evidence45 days
Automatic learning cooldown / daily attempts60 minutes / 8
Managed skill retirement / grace90 days idle / 7 days
Processed automatic-learning records180 days

Candidate evidence is a source and repetition safeguard, not proof that a procedure was re-executed or externally validated. Automatic publication will not overwrite a manually edited skill, and reaching the managed cap blocks new automatic skills.

Data and testing

Candidate and publication state live in local DSH SQLite; published skills remain files in the chosen native skill root. Interrupted changes are checked and may require human review only for conflicts or unusual recovery states. No secret/session database belongs in the public repository.

Run npm test for portable tests. Live model learning and DSH registry/UI behavior require separate integration testing. See config.example.json and SECURITY.md.

Related: Dream & Memory · Instruction Files.

MIT licensed. See LICENSE.

Optional plugin diagnostics

The plugin optionally emits privacy-restricted operation and failure metadata to dsh-plugin-diagnostics. Diagnostics contain event type, status, fixed error code and elapsed time; conversation content and credentials are not logged. The diagnostics plugin is optional and does not change the host requirements.