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dsh.fish

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1160 results

Bundle

dsh-resize

Add page zoom control settings for DeepSeek Harness.

RyensX
Bundle

dsh-adhd-friendly

ADHD 友好输出：行动先行、步骤编号、抑制离题、每轮重申状态、具体时间估计、让进展可见、就事论事错误、列表上限 5 项、无开场白/总结/结尾语。受 ayghri/i-have-adhd（22.3k★ MIT）启发。

satan9394
Bundle

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 microsoft/SkillOpt（MIT）启发。

satan9394
Bundle

@dsh-plugin/dsh-network-settings

DSH (DeepSeek Harness) network plugin that bundles User-Agent rewriting, an HTTP/CONNECT/SOCKS5 proxy, and configurable request auto-retry for every outgoing global-fetch request, all configured from a single “网络设置” (Network) settings tab.

dsh-plugins
Bundle

dsh-completion-gate

Evidence-backed production-readiness completion barrier for DeepSeek Harness with persistent operator-configurable control center.

AGSQ11
Bundle

@dsh-external/dsh-course-writer

虾说教材写作 — DSH 通用课程编写插件：九阶段门禁式编写流程 + 出题/试卷生成 + 知识图谱可视化 + 课程资料库注入 + 本地资料导入 + AI 一键润色 + 去AI味 + 教案诊断，开箱即用。

bettermen
Bundle

dsh-entity-dd

Cross-border counterparty due diligence for DeepSeek Harness — resolve the entity you are actually contracting with, then judge whether the record is fit to rely on.

sherconan
Bundle

dsh-plugin-stylotrace

Stylotrace 深度协作写作 Agent 的 DeepSeek Harness 插件：40 个 MCP 写作工具 + 完整技能包。风格学习（四层向量+外层调制器）、澄清→大纲→逐节写作→红队审计→读者群像，全流程可被 DSH Agent 调用。

Bundle

dsh-authorize-app

DeepSeek Harness plugin: adds a 'Connected Apps' settings section — a central platform where other DSH plugins can surface themselves.

extension-hunter
Bundle

dsh-rss-for-shadow-suite

Shadow 套件的一站式资讯订阅插件：33 个 RSS 订阅源（AI/数学/物理/计算机）+ 每日简报与论文速递例程，安装即用。

ShadowBruceMeaningLau
Bundle

@hytime/dsh-companion

DSH Companion 鲸鱼 Skill/CLI 插件前端（dual-face Cordis 插件）

hytime
Bundle

@jxame/dsh-condense

Token optimizer for DeepSeek Harness — condense your context, keep the essence

JxaMe
Bundle

@liustack/pptfast

Stable, editable PPTX generation for AI agents — semantic IR in, native DrawingML out

Leon Liu