Plugins

Skill-creation console for the Web UI: fetches the official creator skills, hands the requirements to the Huawei Cloud, generic, or REST API creator, then scores the generated skill against a 10-point rubric and returns the itemised deductions to the creator until it reaches 8.5/10.

Code retrieval engine exposed as an MCP server: four tools (code_search, code_outline, code_index, index_status) over a SQLite FTS5 index with BM25 ranking, CJK bigram indexing, declaration-aware tree-sitter chunking, incremental reindexing, and a three-layer secret filter. The bigram index matches Chinese-language queries against English code, and the default path needs no vector store or embedding model. Requires a local Python 3.10-3.12 engine installed by scripts/install.sh, and CODERAG_ROOT set in the profile patch.

Archive DeepSeek Harness sessions into a self-hosted WeKnora knowledge base with extraction, summarization and incremental dedup.

Generates a structured handoff card so a near-full conversation continues in a fresh zero-context session: /handoff writes the card with self-incrementing titles, pins it to the top of the sidebar and prepares the new session once the context nears its threshold.

Session map: a fork-tree canvas over DSH sessions, and a Settings page that clones a Git repository into a new workspace. The canvas is reachable from a session-header toggle and two right-side tabs, and from a conversation tab that is off by default; it starts on the current session's own tree, growing downward, with wheel pan, Ctrl/⌘-wheel zoom, a subagent-session filter and a per-session overview of turns, steps, model time, tool time, output tokens and running state. The clone page takes a repository address and a remembered parent directory with a native folder picker, offers a per-clone shallow switch (off by default), runs git clone on the host, and registers the cloned directory as a workspace.

Makes the DSH Settings dialog resizable from its edges and corners and movable by its top strip, remembering the chosen size across opens.

Marks models in use by other running sessions in the DSH model menu, and restores the remembered reasoning effort and group collapse state for each model.

Selection comments and quoted conversations (dsh划词评论 / dsh-huaci-pinglun), based on the MIT-licensed BangBang-03/dsh-client-ui-quote 0.11.1 with attached textarea measurement, border-aware height and long-text scrolling.

Cross-session memory for your dsh agent: remembered, recalled, and re-verified instead of assumed.

Category tabs (All, Appearance & UI, Usage & account and more) for the Installed list on the Plugins page, remembering the chosen tab; patch plugins named in an editable parent table are indented under the plugin they patch. Display-only, writes no files.

Ships a skill for verifying a change with the cheapest check that still yields a definite answer: an L0-L3 cost ladder from static checks to a single suite, condition polling with a timeout instead of fixed sleeps, assertions that can actually fail, and durations that are measured rather than remembered. The package also carries the two zero-dependency Node tools the skill calls - wait-until.mjs (poll a command, a file, or a port until it is ready) and measure-runtime.mjs (wall-clock timing for any command, plus a segmented timer for library use).

Thesis and empirical-analysis workbench that drives IBM SPSS from the conversation: spss_check (environment self-check), spss_variables (list .sav variables with labels, types, measurement levels, case counts), spss_data (sample case rows to inspect missing and outlying values), spss_run / spss_run_file (execute SPSS syntax or an .sps file, relative CD and GET FILE paths auto-rebased), and spss_analyze (one-shot frequencies, descriptives, crosstabs with chi-square, t-tests, one-way ANOVA, correlation, linear regression). Results come back as structured tables extracted through OMS. SPSS 25-31 is auto-detected; the bundled MCP server is zero-dependency stdio.

Delegates self-contained coding subtasks to the local Claude Code subscription through the official Agent SDK and returns the result to the host session. Nineteen per-call parameters control model, thinking effort, permission mode, allowed tools, turn count and budget cap; background jobs return a jobId immediately and stream incremental output; the result carries a session handle that can be passed back as resume to continue the same conversation; commands expected to run past ~20 seconds go through the built-in mcp__dsh__shell channel, which streams output line by line without consuming model context; a Claude Code monitor panel in the session lists jobs, renders the structured process, shows live output blocks and cancels a run; the delegation procedure ships as a runtime-registered skill, so installing the plugin installs the skill.

Sit-and-water reminder for DeepSeek Harness, with a cat that sits in the corner of the Web GUI. A focus cycle of 30-90 minutes ends in a centered overlay plus a triple chime that gets you up to walk and drink; the later button answers with one real sourced case about prolonged sitting and one about dehydration (built-in library of 17 entries, each with publisher, date and a link to the original); stopping produces a session report with worked time, completed rounds, successful interruptions, snoozes, suggested drinks and a good/mid/bad grade. The cat can be dragged anywhere with its position remembered and loops one animation per state. The timer and the ledger live in the host half, so a page refresh never loses a cycle; it only reminds while a DSH page is open. Cycle lengths, chime volume, cat opacity and grade thresholds are configurable on the plugin settings page.

Full edition of the motor-design AI plugin for DeepSeek Harness: adds the L1 (Ansys RMxprt) and L2 (Motor-CAD) precision layers on top of the L0 millisecond-level broad filter, completing an end-to-end chain from requirement parsing to parameter identification, candidate matrix, L0 pre-screening and L1/L2 verification. Mutually exclusive with dsh-motor-ai-l0 (uninstall l0 first); the shared core @wangxue98/dsh-motor-ai-core installs automatically. L1 needs Ansys AEDT (RMxprt) and L2 needs Motor-CAD installed locally. Distributed under the PolyForm Noncommercial licence; L1/L2 require an activation code. Telemetry is on by default: per-tool usage counts and design-experience samples that the author describes as desensitized are sent to the author's server at wangxuewangxue98.deno.net, and fault assistance can upload fault reports; switch them off with telemetryEnabled, designExperienceUpload and faultAssistEnabled in the plugin config.

DSH plugin: model-generated session titles that follow the latest task, remember manual renames, persist their settings, and never fail silently.

Cross-session full-text search over persisted DSH session logs: builds an incremental message-level index and returns sessionId, seq, and a short excerpt; exposes an agent tool and a standalone panel. Requires Node.js 23.5+.

Model usage panel for DeepSeek Harness: automatic per-call accounting from session logs with real timestamps, full history and live increments, showing tokens, cost, requests, trend and model composition with per-model, per-project and per-session views and editable tiered pricing.

Persistent long-term memory for DeepSeek Harness: a JSON store of typed entries (fact, preference, entity, rule, episodic) exposed as the memory_remember and memory_recall agent tools, with recall ranked by keyword overlap, importance and access frequency.

OpenCode Go provider that verifies a model against the gateway rather than treating a recommendation as a measurement: the models.dev protocol suggestion is probed before it is used, reasoning levels follow a measured contract, and requests run through an ordered protocol fallback chain. Context window, max output and image-input numbers are declared by a runtime-refreshed models.dev layer rather than probed, with operator overrides above both. Several OpenCode Go credentials can be stored and switched from the settings page.

Per-wallpaper offset for dsh-dream-skin - nudge the current wallpaper along X and Y in pixels from Settings, remembered separately for each image, URL or gradient.

Motor-design AI assistant plugin: requirement parsing → parameter identification → candidate matrix → Top10 verification. L0 is a millisecond-level broad filter (pure JS, zero solver dependency) that ranks candidates and emits the handoff payload for the L1/L2 precision tools; usable as a local agent preset and Cordis plugin. L1 (RMxprt) and L2 (Motor-CAD) are reserved in this version — the level gate fails fast above l0.

Make the AI remember how you think, not what you said: actively captures your principles, redlines, and working habits across sessions — with memory capacity, graceful decay, and human-readable reasoning for every entry. 0.7.0 brings an intuitive persona portrait with evidence tracing.

Cross-session memory for your dsh agent: remembered, recalled, and re-verified instead of assumed.