@mars-sea/dsh-commandcode-provider
Unofficial DeepSeek Harness LLM provider plugin for Command Code, ported from pi-commandcode-provider (MIT). Registers the 'commandcode' provider route with a Models-page card and live model catalog.
204 results
Unofficial DeepSeek Harness LLM provider plugin for Command Code, ported from pi-commandcode-provider (MIT). Registers the 'commandcode' provider route with a Models-page card and live model catalog.
Curated file-based long-term memory for DeepSeek Harness — discovery manifest for the installable plugin in adapters/dsh/plugin/
滑动变祖:an opt-in adaptive reasoning slider skin for DeepSeek Harness
DSH 统一通知推送插件:一个 notify() API 打天下 + 多渠道 adapter;远程审批/远程会话支持 telegram/feishu/qq/wxpusher/wechat/dingtalk 六通道双向回传;移动指挥中心(长任务心跳 / 疑似卡住提醒 / 通知按钮停止任务);开放事件源(其他插件经 notifier 服务推送 + dsh-notifier/sent 事件订阅);QQ/钉钉/飞书官方扫码授权;本机 Web 管理台(凭证/路由/扫码授权网页可管,移动端适配)。零运行时依赖(只用 fetch + node:crypto + 原生 WebSocket)。
Superpowers for the DeepSeek Harness: TDD, debugging, planning, and collaboration skills adapted from obra/superpowers
OpenBiliClaw DeepSeek Harness plugin: the user-consumption side (recommendations, delight, saved, Socratic chat, profile, probes, activity) as a web-GUI sidebar, plus agent-bridge tools and the openbiliclaw-adapter skill for closed-loop use inside DSH.
Command Code Go provider adapter for dsh: scan the Go-plan model catalog dynamically and serve /alpha/generate through the harness LLM seam
Free OpenCode Zen models for DeepSeek Harness (DSH): native dsh-llm adapter plugin, no API key.
Unified image understanding plugin for DeepSeek Harness (DSH). Visual twin adapter for native thumbnails + auto-analysis on any text-only model (incl. pi-ai providers); privacy/smart/strict routing; local tools (scan/OCR×4 engines (windows/macos/paddle/rapid)/crop/palette/compare/batch); document-to-image (pdf/word/excel/ppt); local photo editing (image_edit: resize/rotate/filter/composite/watermark/background-remove/upscale etc, pure CPU); optional external VLM bridge.
Agent Client Protocol (ACP) adapter for DeepSeek Harness — use DeepSeek Harness from ACP clients such as Zed.
Multi-provider Web Search & Fetch for DeepSeek Harness — 8 deeply adapted providers, SearchHints, resilient fallback, and native X / Xiaohongshu retrieval
Google Antigravity / Cloud Code Assist model provider for DeepSeek Harness
Deep Research orchestrator extension for DeepSeek Harness: an adaptive cybernetics/information-theory deep_research tool on the official workflow engine, reusing built-in web_search/web_fetch.
Third-party provider reasoning-effort AND input-modality settings for DeepSeek Harness: thinking levels and image-input support declared per model, auto-adapted from a model knowledge base + wire-protocol inference, edited right inside the official Models page card.
DSH LLM 适配器插件:复用 Codex CLI 本地登录凭证(~/.codex/auth.json)在 DSH 中直接使用 ChatGPT 订阅模型
Mobile-adaptive DSH web UI: on narrow screens the sidebar rail is hidden and the directory opens as an overlay drawer, so the conversation gets the full width.
Learning assistant extension for DeepSeek Harness (dsh): DeepTutor tutoring for your agent — deep explanations, self-test questions, learning paths, personal knowledge-base search (RAG), and note archiving (HTTP/WS first, CLI fallback; auto-adapts local/r
DeepSeek Harness adapter for the Swift Cycle governance skill.
DeepSeek brain + automatic image transcription for DeepSeek Harness: a deepseek-vision provider route that transcribes attached images to text before delegating to the text-only DeepSeek adapter. Official deepseek-v4-flash-vision-exp by default (a pure-text V4-Pro brain can see images), any OpenAI-compatible VLM or local Ollama as alternatives, never hangs.
Plugins, sensible defaults, and a launcher for DeepSeek Harness (dsh) — everything you're missing, without forking upstream.
Portable Agent Skill for developing and auditing DeepSeek Harness plugins, with an optional DSH bundle adapter.
SGME 仓库级 DSH 插件包装(真实插件包在 adapters/dsh/sgme-bridge/,dsh-sgme 已发布 npm)。本文件让 dsh plugin add github:freehul/sgme 直接可装,并让 dshfind 能推导出 npm 安装命令。
Closed-loop trajectory policy plane for DeepSeek Harness: task episodes, revision-aware verification debt, benchmark-aware stop control, adaptive effort, and scoped capability control.
Matt Pocock's skills for the DeepSeek Harness: grilling, writing-for-agents, wait-what and more — adapted from https://github.com/mattpocock/skills