Plugins

Generate AI-narrated DSH session reports (daily/weekly/monthly, any date range) and sync them to flomo (浮墨笔记) with one configurable tag (default #write/dsh) and automatic # stripping, via a web settings panel with daily reminder.

DeepSeek account usage monitor (HP/MP) — sidebar module with balance and token usage bars; WeChat scan login via bundled CLI (login-cli.mjs), hourly visible-only sync, and real-time local token increments.

DeepSeek Harness plugin: multimodal tools (image/audio/video/document understanding, transcription, image generation) via Gemini API or the local Antigravity CLI.

General file previewer for DeepSeek Harness: after an agent turn produces files, the produced-files row expands vertically and one click opens a right-side panel that renders markdown (official MarkdownText), syntax-highlighted code, csv/tsv tables, text,

Use a local TraeX coding agent as a DeepSeek Harness model provider over ACP.

Project/task dual-mode workspaces for DSH: a task skips the workspace picker and gets a fresh scratch directory (D:\dsh_working\<name>-<timestamp>) per conversation, Codex-style; no-workspace sessions are grouped under a persistent Tasks section in the sidebar with empty states, and the new-session workspace picker gains a "no workspace (task)" option.

DeepSeek Harness community Bundle for local, evidence-backed Agent Memory

Claude-Code-style artifacts for dsh: an `artifact` tool that writes self-contained HTML, a bundled authoring skill, a sidebar nav button, and an in-app artifact browser with sandboxed HTML preview

File-based self-evolving memory for DeepSeek Harness v2: compression & extraction over official compaction, daily episodic layer, dream consolidation to semantic files (user/agent/memory/dream + project), catalog disclosure injection, no confidence machin

A paper-review panel for the DeepSeek Harness: converts PDF papers into structured, selectable text (columns, headings, tables, sub/superscripts, table of contents) with figure and display-equation rendering, a floating ask-about-the-selection dialog, and

DSH-native video understanding with configurable multimodal providers

dsh plugin that turns the iterate skill into an autonomous closed-loop harness: plan -> parallel review xN -> atomic fixes -> validate -> loop -> auto-stop, plus a dry-run pure-review mode with multi-round convergence and a meta-review that audits the rep

A tamagotchi-style desktop pet for DeepSeek Harness — living skins that blink & wag, weather + time-of-day ambience, weekly report cards, a fetch mini-game, 24 collectible skins, achievements and synthesized sounds. 电子宠物：会眨眼摇尾巴、看天气看时辰、还能接球。

Native memory for DeepSeek Harness — auditable facts with evidence chains, powered by StateCore

Generic LLM gateway model provider plugin for DeepSeek Harness: mounts newapi / LiteLLM / Higress / any OpenAI-compatible gateway as provider routes, auto-discovers the model list, enriches every model with models.dev parameters, and dispatches each model

Real-time quote bull/bear desk pet for DSH: a portfolio-average-driven pet that runs faster and jumps higher the closer gains reach 20%, with a watchlist panel for searching and adding stocks plus a live "race" of how each holding is moving.

Scenario bundles of dsh plugins (插件界的 dotfiles): a recipe tool that lists, searches, applies and composes ready-made plugin environments with ordered install sequences.

Plugin value auditor: pre-install review (source scan + LLM judge) and post-install audit of installed bundles, with model-switch re-audit reminders.

Health checks for DSH plugins: manifest/patch/entry/build/pack/install verification, model-callable plugin_check, profile host-shadowing + BOM detection, environment diagnostics, and poison preflight.

Complement to official Creator mode: stage, validate, live-mount via ctx.plugin, score, and solidify or roll back in-memory tool-plugin trials.

Evidence-backed Skill self-evolution for DeepSeek Harness: redacted trajectory learning, quarantined proposals, arena validation, canary monitoring, automatic rollback.

RLM mode for dsh: recursive sub-agents via a unified rlm() function — spawn, await, and chain child agents as first-class Python calls. Adds a persistent IPython kernel with tools.* bindings and context-as-variable.

Dependency-topology guard: pre-install conflict prediction and post-install detection of duplicate @deepseek-ai/dsh-* copies, version drift, and vendored core services that cause Symbol-key crashes like "Cannot read properties of undefined (reading 'prepare')".

Verification toolkit for DSH agents: evidence-based claim checking against workspace files with line citations, config validation (JSON/YAML), and read-only URL/npm/GitHub submission-readiness probes.