@dsh-user/dsh-wxauto
DSH 微信自动化插件:任务进度微信推送、消息监听、微信⇄DSH 双向桥(设置页开关+配置)。基于 wxauto4。
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DSH 微信自动化插件:任务进度微信推送、消息监听、微信⇄DSH 双向桥(设置页开关+配置)。基于 wxauto4。
DSH web plugin: customize the chat composer input shortcuts (Enter / Ctrl+Enter / Shift+Enter / Alt+Enter / send button) with send / queue-while-busy / newline / no-op behaviors, backed by durable user settings.
DeepSeek Harness math animation plugin powered by Manim CE (zero-code skills for math/physics users)
DSH web plugin: a live, bidirectional mind map built on the mind-elixir-core kernel. The agent and the user edit the same tree in real time through a session projection and a Connection RPC channel.
自定义所选模型调用时的 User-Agent 与额外请求头,并在设置页提供控制面板。
Kimi WebBridge host plugin for DeepSeek Harness: model tools that drive the user's REAL browser (navigate, snapshot, click, fill, evaluate, screenshot, network inspection, tab management) through the local kimi-webbridge daemon
dsh-voice — voice notes in, spoken answers out: dictate audio that becomes user messages (transcribe), have the agent read replies aloud (speak), and leave walk-away narration on long headless runs. Local-first, plain audio files under ~/.dsh/voice/
Wallpaper plugin for the DeepSeek Harness web GUI: translucent app surfaces over a user-picked local image, GIF, or video background, plus one-click Wallpaper Engine imports
DSH Web GUI 轻量记忆系统:四个大写 Markdown 文件(USER.md / PROJECT.md / WORKLOG.md / CONVENTION.md)+ 两个动作(append 流水 / distill 沉降)。零外部依赖,只用 Node 内置模块;文件可视化、可 diff、可 git 管理。
DSH skill_manage: agent-managed procedural memory. Create/patch/edit/disable/delete skills in ~/.dsh/skills (user scope) or <projectRoot>/.dsh/skills (project scope), with validation, delete guards (agent-created marker, pin, path confinement), disable/enable via disable-model-invocation, and an English trigger-discipline system prompt section. Built on top of skill-filesystem's hot-reload watcher.
Auto-inject user-chosen skills (e.g. caveman, ponytail) into DeepSeek Harness sessions: every prompt or once at session start, with a settings page and a composer indicator. 在 DSH 会话中自动注入所选技能(如 caveman、ponytail):每轮提示或仅在会话开始时,含设置页与输入区指示。
Windows minimal agent preset for DeepSeek Harness: a one-line fixed persona, gitbash + str_replace_editor + web_search, no runtime context, no compaction. Installs the preset into the user's agent-presets root.
DSH tool-call compatibility: strips sandbox_permissions/justification from tool-call arguments for third-party models (GPT etc.), and lets the user skip possibly-stuck tool calls with an LLM-facing notice.
DSH web UI plugin: a session-header button that cycles the conversation width (748-1600px) by overriding the chat content-width CSS variables, so the chat column, composer, and user bubbles all widen together.
Timeout guard for ask_user_question: a lost or unanswered question resolves as a structured ASK_TIMEOUT instead of hanging the turn forever
DeepSeek Harness 插件:DeepSeek API 余额实时监测(官方 /user/balance 快照 + ds_balance 工具 + 峰谷计价状态 + 单会话费用估算 + dsh 原生风格侧边栏徽章)
Code reference & reuse-survey plugin for DeepSeek Harness (DSH): search local code + GitHub/npm before building, evaluate reuse vs rewrite, ask the user, architecture-level reuse. 开发前检索本地与开源可复用代码并询问用户的复用调查插件。
Skill studio for DeepSeek Harness: visualize all agent skills, view/edit their SKILL.md bodies, toggle model/user invocation, and mine session logs to extract reusable personal skills (auto-loadable by the agent) — from the web settings panel (Skill 工作台) and via skillmgr_* / skillmgr_extract_* tools
DSH plugin adapter of catalog-capabilities-zh: curated Chinese capability catalog; orchestrates DeepSeek Harness plugins/skills installation and documentation from user-selected or manually provided sources.
Require a one-shot user approval before configured tools execute
Multi-tenant Feishu/Lark OAuth login and per-user session isolation for the DeepSeek Harness Web GUI
对话轮次索引:Web GUI 右侧边栏列出每一轮用户提问,点击跳转到对应位置 (Turn index sidebar for the DeepSeek Harness web GUI: one entry per user turn, click to jump)
Local-first task outcome ledger & acceptance plugin for DeepSeek Harness (DSH): evidence-backed verification of task completion, zero extra model cost, user-owned sidecar data. 任务结果账本与验收插件:机械证据验收、默认零额外 token、数据本地持有。
dsh-buddy — 用户画像自适应表达技能:实时构建用户熟练度/偏好/领域画像,动态匹配回答深度与术语密度