DSH Claude Style Reasoning Slider is a DeepSeek Harness (DSH) client UI plugin that replaces the native model selector with a Claude-style animated reasoning-effort slider and model picker.DSH Claude Style Reasoning Slider 是一个面向 DeepSeek Harness（DSH）的客户端 UI 插件，用于将原生模型选择器替换为带 Claude 风格动画的推理等级滑块与模型选择器。
GatherThread 共序：本地 AI 编程 Agent 多人联机协作、实时共享上下文。Self-hostable collaboration for local AI coding agents, Codex Desktop connector & DeepSeek Harness plugin.
Composer mic for DeepSeek Harness Web: tap-to-monitor live transcription and hold-to-talk, with host Edge TTS reply reading that streams while the model generates, echo-pause during reading, and tap-to-stop.
Drive the ZCode (Z.ai) desktop client as a model channel from DeepSeek Harness over CDP — the app mints its own attestation, so account-bound quota is spent by the first-party client.
PBR 3D model preview plugin for DeepSeek Harness — GLB/GLTF game art with textures, material channel inspector, orbit controls. pbr3d fence + pbr_render tool.
A model-native meta-agent plugin for DeepSeek Harness that uses the underlying model’s reasoning and planning capabilities to synthesize task-specific workflows at runtime and coordinate tools and subagents.
A corner HUD for DeepSeek Harness that shows your session's token pressure, per-model cost, and daily/monthly usage at a glance, with an editable budget and balance that tracks spending for you. 右下角常驻的 Token 仪表盘：实时看会话压力、按模型估算花费。预算和余额点一下就能改，每天每月用了多少都有记录。
Role-based AI swarm orchestration for DeepSeek Harness: per-role model pinning with fallbacks, parallel task DAG with review loops, live Swarm dashboard tab.
Claude Code-style auto approval layer for DeepSeek Harness: deterministic rules + two-stage classifier, circuit breaker, fail-to-human. Shadow mode day one.
A searchable, sortable model picker for the DeepSeek Harness Web UI — provider groups, favorites, models.dev prices, context windows, live per-task token cost and a local-model filter. One-command install: dsh plugin add dsh-model-garden.
Check Agent Skills before reuse: find missing local resources in browser or CI, review pinned examples, and serve skills through DeepSeek Harness or MCP.
Make your dsh ready for serious coding. (Tools x Schemas)^REPL. skill://, ctx://, agent://, dvc://, dsh://, IPython REPL, Context as Variables, cross compaction recallable, full context revive. hash-edit, dvc://browser, subagent as a function, workflow as a function.
On-demand vision for text-only DeepSeek Harness (DSH) sessions: images become markers, and a vision_describe tool sends only image + question to an OpenAI-compatible vision model
