Plugins

Project knowledge base plugin for DeepSeek Harness: Open Knowledge Format (OKF) bundles per project, agent search/read tools, a Web UI browser/editor, and a bundled OKF authoring skill

DSH Plugin Registry inside DeepSeek Harness — search, compare, and inspect source-backed plugin information before installation.

peon-ping sound notifications for DeepSeek Harness — a faithful port of the pi plugin pi-peon-ping-win (native Windows audio fallback, WinForms popup, OpenPeon sound packs). Beeps only when a task completes or terminates unexpectedly, by default. Settings

DeepSeek Harness Balance/Usage plugin: Usage and balance meter for DeepSeek Harness (DSH), providing real-time usage statistics and balance information.

One settings page for every plugin that opts in: declare fields, get a rendered form

dsh usage & performance statistics: settings-panel plugin + TUI (tokens / TTFT / TPS / cost)

The rich `edit` tool for DeepSeek Harness (replace / patch / apply_patch / hashline modes) with embedded format-on-write and diagnostics — a standalone plugin with no upstream harness changes required.

Skill for packaging DeepSeek Harness into a Tauri 2 desktop app (macOS + Windows): dual-platform install playbook, China mirror bootstrap with a subagent timeout sentinel, admin-free Windows toolchain recipe (no VS Build Tools), and three-path acceptance checklists.

Human-in-the-loop tools (`human_task` / `human_task_ready_check`): pause the agent until the user performs a real-world action or returns an observation (GUI operation, game testing, visual verification, hardware checks), gated by session consent and an AFK presence check, returning a structured JSON result via a web task dialog.

Codex-style @file/@folder mentions for the DSH web composer: workspace file/folder picker menu, plain-text colored mention tokens via the platform lexicon scan, and a nested-git-aware file index.

Feedback de código em tempo real para o DeepSeek Harness — LSP, linters, formatadores, verificação de tipos e análise estrutural

Plataforma de avaliação de agentes: benchmarks em YAML, orquestração de execuções headless, métricas baseadas em traces e relatórios de execução