deepseekplugins

DeepSeek Harness plugin

dsh-skill-optimization

把技能当可训练参数：像训练神经网络一样训练 agent 技能（epochs/batchsize/learning rate/验证门禁，但不碰模型权重）——rollout→reflect→aggregate→select→update→evaluate 循环、候选编辑仅在严格改善 held-out 验证分时接受、文本学习率预算、零推理时模型调用、部署紧凑 best_skill.md。受

Workflow & Automation
Jump to install

Source facts

Repository
satan9394/dsh-skill-optimization
Latest update
Aug 20, 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
2026-08-20

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/satan9394/dsh-skill-optimization
Plugin: dsh-skill-optimization
Author: satan9394

Check the source files

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

File explorer3 files
README.mdSource · read only

dsh-skill-optimization

DSH（DeepSeek Harness）技能插件：把技能当可训练参数。

像训练神经网络一样训练 agent 技能（epochs/batchsize/learning rate/验证门禁，但不碰模型权重）：rollout→reflect→aggregate→select→update→evaluate 循环、候选编辑仅在严格改善 held-out 验证分时接受、文本学习率预算、拒绝编辑缓冲、零推理时模型调用、部署紧凑 best_skill.md（300-2000 tokens）。受 microsoft/SkillOpt（MIT）启发的中文原创精简版。

安装

dsh plugin add dsh-skill-optimization

触发方式

描述中包含"训练技能 / 技能优化 / 自进化 / 验证门禁 / 轨迹训练 / best_skill"等关键词时自动触发。

能力

  • 六步训练循环（rollout→evaluate）
  • held-out 验证门禁
  • 文本学习率预算
  • 零推理时模型调用
  • SkillOpt-Sleep 夜间自进化
  • 跨模型/harness 迁移

许可

MIT

Back to searchOpen GitHub repository

More related plugins

View category