Plugins

Reports Docker CLI, context, and daemon reachability in WSL, plus vLLM :8000 /v1/models health and GPU runtime hints.

Image generation workbench and agent tool for DSH: one tool (ark9_generate_image) paints text-to-image and image-to-image via any OpenAI-compatible API. Channels are entirely user-configured - no bundled endpoint, you bring your own baseURL, key and model name (manual input supported). Agent-initiated generations are approval-gated by default: requests queue in the floating panel and nothing bills until you approve; approval is non-blocking (the agent replies "awaiting your approval" immediately, and results, denials or timeouts are injected back so the agent reports them in the next turn). Floating glass workbench with five tabs (Generate / Approvals / Prompts / History / About), aspect-ratio grid with quality-budget + 16px-alignment sizing, transparent background, batch up to 10 images as aggregated sub-tasks, prompt library with custom JSON sources fetched through a host proxy, persistent generation logs with one-click retry, multi-channel aggregation with per-channel model fetching, bilingual UI (zh/en), stroke-SVG icon set, config import/export. Registers as a Better Sidebar tab when dsh-better-sidebar is installed; stacks above the dsh-cua FAB when both are present.

Three independent language channels for model output — tool-call descriptions (every tool-call card title, including run_code in PTC-style presets), thinking, and replies — each set to follow the web GUI language, force a specific language, or turn off (default: only descriptions, following the GUI). One global runtime-context prompt directive on the host; the client half reports the GUI language; a Settings plugin card switches the modes.

Floating GPU monitor for the DSH Web UI: a compact, draggable strip with one row per discrete GPU (exact name, utilization, VRAM, temperature, power draw) from nvidia-smi, stays visible over side panels and side cards, with a top-VRAM-process list when the driver reports it; degrades to an n/a pill on machines without an NVIDIA driver.

Browse and govern the skill library from a floating-ball panel with three tabs — skills, call ledger and quick start. You choose the skill root yourself through a native directory chooser (defaults to ~/.dsh/skills, no path is shipped with the plugin); skills are grouped into two levels of categories, with manual, keyword-based and AI grouping available and a tree or flat view toggle, and grouping is purely visual so no skill file is ever moved. Descriptions are read from each SKILL.md frontmatter, search filters by skill name, description or original text, and a card opens the full SKILL.md. Skills can be switched on and off per card, per category or for the whole library — the toggle rewrites disable-model-invocation in that SKILL.md and writes a SKILL.md.bak-toggle-<timestamp> backup before saving, rolling back if the write fails; disabled cards grey out until restored. The call ledger separates automatic from manual entries, records skill successes and failures by listening to tools/result events, and reports call counts, success rate, trend and a ranking, reusing an existing ledger file found in the library. Hot reload picks up skill edits without a restart. The DSH settings page gains a floating-ball section that shows or hides the three balls, offers one-click restore of a ball dragged off-screen, and picks the shared 130-skin catalogue for all three balls.

Reports the current WSL distro and warns about multi-distro setups.

Parses DSH session logs to attribute AI-written files, overlays c8 coverage, and reports AI vs human code coverage with a trust score, plus a check/fix/verify tool loop for closing test gaps.

Data-provider MCP server for football: results, stats, odds, standings, form and head-to-head for 18 European leagues (1993-94 →) and 8 cup competitions, for any MCP client. Also a DeepSeek Harness (dsh) plugin.

Neural Ledger · 神经账本 — turn your DSH collaboration sessions into a visual work ledger: token analytics, smart insights, trend forecasting, and one-click daily/weekly/monthly Markdown reports.

Private plugin imports for DeepSeek Harness — import from private git repositories or local files (tarball upload / folder picker) from a first-class Settings entry. · DSH 私有插件：私有仓库 + 本地导入，设置内独立入口。

Read-only DSH environment health check: disk, memory, latency, ~/.dsh bloat and outdated-plugin detection with graded reports and baseline trend comparison. Deletes nothing.

DeepSeek Harness plugin for NI Multisim circuit generation, simulation, optimization, and lab reports via MCP

Structured machine-readable CI output for DeepSeek Harness: JSON/NDJSON session reports, JUnit XML, semantic exit codes, artifact collection and privacy redaction - a dsh profile bundle plus a standalone CLI.

Auto-retry failed API requests to keep DSH conversations going. Supports configurable status codes and error codes. 自动重试失败的 API 请求，让 DSH 对话不中断。支持自定义状态码和错误码。

Multi-agent dashboard skill for DeepSeek Harness -- status reports, task tracking, progress visualization

SMS forwarding webhook for DeepSeek Harness. Phone apps (SMS Forwarder, Tasker, or any HTTP POST) push messages to a local HTTP endpoint; the plugin stores them as JSONL and exposes sms_recent / sms_search tools so the agent can read SMS verification codes during tasks. Auto-extracts the first 4-8 digit OTP from each message, supports keyword filtering, and works over LAN or Tailscale.

Applies structured unified diffs (git format) to the real filesystem: multi-file/hunk parsing, fuzzy hunk location with line-offset correction, all-or-nothing application with typed conflict reports, reverse-patch undo journal and dry-run - four patch_* dsh tools plus a CLI.

A DeepSeek Harness plugin that interviews the user about a project, generates a project timeline / Gantt chart, and exports it as Word or Excel.

A DSH Web plugin that turns chat sessions into editable mind maps, with Markdown, Mermaid, PlantUML, XMind text, and TODO exports.

DSH web GUI plugin: an "Archived Tasks" settings page that lists archived sessions and supports restore or permanent delete

Read-only health clinic for the installed DSH plugin set: loader health, dependency integrity, version compatibility, install-script risk, duplicates and patch integrity, delivered as a model tool, a Settings dashboard and JSON reports.

Automatic type-check diagnostics: after the model edits or creates TS files, runs `tsc --noEmit` in the background (debounced per project) and reports errors via the `code_check` tool — grouped by file with line/column, severity and TS error codes, closing the "edit → check → fix" loop.

Reports bounded, repository-relative Git status as structured data without staging, committing, or changing branches.

Enhanced MCP client: paginated tool discovery, non-blocking startup, mcp_tool_search, hand-rolled stdio/streamable-http transports.