Плагины

Update copilot for DeepSeek Harness: one scan covers the dsh core, official bundles, and every profile plugin; explains what changed and how risky each update is, then updates only what you confirm.

A dockable IDE workbench for the DSH web UI: a GPU-accelerated terminal (restty renderer over a Rust PTY), a CodeMirror editor, a file explorer, notes, a sandboxed browser, and ripgrep content search.

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.

On Windows, the available bash tool is limited to Git Bash and PowerShell is disabled.

Ecosystem trend dashboard (行情面板): snapshot the dsh-plugin topic and the awesome list into local history, then report weekly trends — new plugins, star gainers, category heat, awesome coverage — plus a keyword radar for new plugins and star surges.

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.

Native Windows system notification (Notification Center toast) when a task completes: goal completion or agent turn end.

Approval/completion/error event notifications: browser Notification plus native toasts (PowerShell WinRT on Windows, notify-send on Linux/macOS), quiet hours, same-kind error merging, and an independent switch for subagent completion.

WeChat (iLink) channel: chat with your DSH agent from the WeChat app, one persistent session per conversation, reusing DSH credentials.

DingTalk IM channel via Stream-mode WebSocket: each chat drives its own tooled agent; replies stream back as messages, no public callback URL needed.

Checks npm hourly for newer versions of the installed plugins and asks which ones to upgrade.

Ambient fullscreen status grid for DeepSeek Harness sessions with token/rate graphs, plus ntfy push and alarm notifications when a turn ends, errors, or waits for approval.

Two-way Feishu (Lark) chat bridge for DeepSeek Harness over the official WebSocket long connection: messages route to the bound workspace's latest session and replies return automatically; bot credentials and workspace routing are configurable from the settings page.

Short Web Audio cues when a session needs your attention (approval, question, or plan review) and when a task finishes. No popups or OS notifications.

Event sounds for DSH: plays a chosen sound on session end, options popup, permission request and stop, with AI-generated character voice lines and a manageable sound library.

WeCom (Enterprise WeChat) Smart Robot bridge: two-way chat over the aibot WebSocket gateway, no public endpoint needed.

Drive your dsh agent from WeChat over the iLink gateway: two-way encrypted media transfer (auto-decrypt inbox + /send), proactive weixin_send tool, completion notifications, multi-session switching, and a health panel with file logging.

Open registered workspaces from the Web UI in a detected or configured local editor, terminal, or file manager, with a remembered per-browser preference.

Feishu bridge for DeepSeek Harness (derived from dsh-im-bridge): WebSocket long connection, approval cards, group @-mention-only replies, streaming card updates, /stop command.

Adversarial code review — parallel finders inspect a diff through separate lenses (correctness, lifecycle, contract, security), then each finding goes to independent verifiers tasked with refuting it, and one refutation drops it.

GitHub REST API tools + browser sidebar panel: repos, search, issues, PRs, comments, account binding (credential-store), and one-click clone-as-workspace.

Injects allowlisted GitHub Actions and GitLab CI run metadata into agent context without reading logs, credentials, or provider APIs.

GitHub workbench MCP server (dsh bundle): 23 MCP tools for repos, issues, PRs, code review, and search, with zero runtime dependencies and PAT/OAuth auth.

Adversarial multi-lens code review: parallel correctness/security/maintainability lenses attack a diff, with deterministic severity grading, suppression rules and incremental review history.