Plugins

Adds a Graph tab that renders one session's execution as an interactive DAG of turns, LLM steps, tools, skills, subagents, code changes and tests, with live status, retry aggregation, critical path and trajectory linkage.

Invoke user-accessible Skills with @name tokens and show matching Skill suggestions in the conversation composer.

Remote-control your dsh agent from Telegram: chat, skills, workspace browsing, and file transfer.

Connects Tencent's official Weixin ClawBot/iLink channel to a persistent DSH Host for phone task control and session management.

WeChat Reading (WeRead) multi-target export for DeepSeek Harness via the official Skills API gateway: browse your bookshelf, export highlights & thoughts to flomo, a local Markdown file, or Notion, optionally reworked by a configurable LLM prompt.

Agent-managed procedural memory: a skill_manage tool that creates, patches, disables and deletes the agent's own skills in user or project scope, with delete guards (agent-created marker, pin, path confinement) and a trigger-discipline prompt.

See how you have been using AI: `/session-insights` reviews your DSH sessions over time, shows what worked, which problems kept coming back, and what results were actually produced, then creates a retrospective report on your machine.

Import, install and invoke Agent Skills in DeepSeek Harness from Codex, Claude Code, OpenCode, GitHub or npm — composer-side ⚡ picker inserts /skill-name into the draft, and a Skill 管理 settings page offers per-source/per-skill import, expandable source paths with skill counts, uninstall and one-click restore from .trash.

Self-learning loop for dsh: record lessons, draft and promote skills, periodic curator review that corrects, consolidates, and retires skills.

Smart form skill: structured record-keeping for bills, ledgers and logs with auto-categorization and periodic reports.

Life-story skill: capture moments and fragments, build a user profile and generate novels, scripts or autobiographies.

Acceptance-criteria-driven goal completion: locks verifiable criteria, tracks task dependencies, and gates completion behind formal reviewer validation (18 MCP tools).

Rules, commands & skills manager for dsh: /rules slash command, settings panel with visual rule editing (add/edit/disable/delete, free-zone support), user-defined custom commands with {input} arguments, skill management, and automatic backup & one-click restore of AGENTS.md.

World-model research toolkit: inspect frames, name 3D / pixel / latent routes, score pred vs GT, and RSI skills / wm.yaml.

Graphical skill manager for DeepSeek Harness — create, edit, import, and delete SKILL.md skills from the web settings UI. · DSH 技能管理器：在网页设置里图形化新建、编辑、导入、删除 SKILL.md 技能。

Skill and MCP management center for DeepSeek Harness: browse and toggle user/project skills, add/edit/remove MCP servers hot without restart, with live per-session status in the sidebar.

Unified DeepSeek Harness connector: edit MCP servers (cordis.patch.yml) and user skills (~/.dsh/skills) from one Web UI settings page.

Turns a stated need into a plugin choice: an agent skill that queries a catalog of the whole `dsh-plugin` topic (2600+ repos, recrawled every 6 hours, Chinese descriptions from Workers AI) through a ranked search API, then hands back the matching `dsh plugin add` command.

Conversational DSH plugin finder: four-source unified index, BM25 pre-filter plus LLM semantic ranking, candidates carry evidence grades and local static security audit, safe install flow with post-install verification.

Skill center in the DSH web GUI: browse loaded skills grouped by source (system / project / user / custom / runtime), with create, enable/disable, and delete (moves to .trash) actions.

Rules, commands & skills manager for dsh: /rules slash command, settings panel with visual rule editing (add/edit/disable/delete, free-zone support), user-defined custom commands with {input} arguments, skill management, and automatic backup & one-click restore of AGENTS.md.

Capability transform & assembly engine (Qian Xuesen cybernetics/systems framework): static resident layer manages the skill/MCP/plugin registries, auto-absorbs skills and tool metrics, and drives a negative-feedback evolution loop (scan Sick/Weak → mutate → select promote/reject → 30s rollback); includes a Web UI panel and a GitHub dsh-plugin store bridge.

Skill Manager page in the DSH settings panel: browse system / user / workspace / preset skills, expand a skill to its file tree, view and edit files, import skills from a zip, and export or delete them (system skills read-only).

Run Stata through DeepSeek Harness: the native Stata AI Skill service auto-starts with DSH (macOS/Windows binaries bundled), so you can run regressions, do-files and econometrics workflows with no manual setup.