Plugins

Stores provider API keys in one local pool and hands out the least-used enabled key over a loopback-only endpoint, tracking usage counters without proxying requests.

Removes AI phrasing so replies and documents sound human: an always-on de-slop style section injected into every session (on by default, switch it off with deslop_mode), four deslop_* tools (0-100 slop scan, deterministic rewrite, intensity switch, voice profile) and four skills (rewriting, conversation, technical docs, Chinese reports), copied into the DSH skills folder at startup. The effect is measurable: a typical AI-flavoured Chinese paragraph scores 49 before deslop_rewrite and 6 after.

Chinese titles, Chinese search, hover detail cards and drag-to-reorder for DSH skills and commands in the slash menu and plus panel.

Turns a live session into a layered instrument: seven toggleable rings (session, steps, skills, tools, jobs, approvals, file changes), a per-turn timeline, hover and click on every ring node, and per-step ladders drawn beneath the rings. It reads the session log directly and updates as the conversation runs, in Chinese and English.

Tarot page for the DSH Web GUI with 78 public-domain Rider-Waite-Smith cards, four spreads (single, three-card, relationship, Celtic cross), shuffle and deal animation, local reading history, and an in-page AI reading streamed from the model configured in the user's DSH profile. Registers no model-facing tools, skills, slash commands, or system prompts.

Career knowledge base vault with ten agent skills for setup, capture and import, audit, JD resumes, interview prep and review, plus Feishu interop.

Moves skills into a configurable directory and lets each workspace choose which skills it enables, avoiding context spent on unused skills.

Elysia's memory plugin for dsh. One shared, human-editable MEMORY.md across every session: two-disk mirror, history snapshots, cross-process write lock; entries tier between the main file and a searchable archive by hit frequency; retrieval is keyword co-occurrence plus BM25. Nine sections (persona, requirements, corrections, lessons, methods, requests, sessions, method library, ingested docs) plus a dedicated self-identity section for a character's own self-cognition, injected above the persona. Ships an opt-in memory pack (packs/elysia: 61,903-char identity + 2,482-char persona, distilled from 1,696 officially-confirmed voice lines and checked against a 112,175-line game-dialogue corpus) that is off by default, backs up before writing, only touches identity/persona, and can be uninstalled. Also a skills library and a sticker library (you import your own images; none are bundled) that sends a fitting sticker at the right moment. On by default: a text bubble with her avatar after each reply, which costs one extra small model request unless the agent already announced (voice.bubble: false turns it off). Opt-in voice playback needs a local GPT-SoVITS engine (about 27 GB, installed separately, NVIDIA GPU required; the plugin downloads about 200 MB of weights) and is Windows-only; the automatic second-drive mirror is Windows-only too (elsewhere set mirrorPath, otherwise there is no mirror).

Brings the third-party deepseekbase.com index into DSH: eight tools and five DSHIO standard skills (from the @liangjiehappy/dsh-dshio dependency). Search 8,400 plugins with real sandbox install verdicts and risk levels (including red-line warnings where credential access meets network), submit a plugin for a four-stage sandbox test from the conversation, read the verdict, check the remaining free quota, and run a clause-by-clause DSHIO/T 10 conformance check. The skill text is fetched from dshio.org at startup and replaces the bundled copy, so updates need no reinstall. Network: HTTPS to deepseekbase.com and dshio.org, plus an npm registry lookup before a test is submitted; no file reads or writes, no credential access, no shell.

Audits and evolves agent context at four scopes: a single repository, a group of related repos, a knowledge hub, or the whole machine. Discovers projects, instruction files, skills, tools, knowledge, project state, evidence and credential references; reports drift, duplicate facts, broken pointers, paths left unverifiable in prose, budget overruns, unindexed knowledge, stale state and unregistered credentials; scores each scope on the dimensions that belong to it; and turns findings into reviewable migration plans that back up every file before moving it. The format contract behind the metrics is written down as a versioned spec (CTX rules, markdownlint-style IDs) that follows open conventions — AGENTS.md for instruction files, llms.txt-shaped link indexes. Also scaffolds a deliberately small hub for durable knowledge and project state. Ships a stdlib-only Python CLI plus two skills, with credentials referenced by path and never printed. Requires Python 3.9+ (stdlib only) and DSH 0.2.1-rc.2 or newer, below 0.3.0.

Long-form manuscript verification team for DSH: installs 10 skills that run a read-only content/structure check, three-tier revision proposals, a human-selection gate, exact replacements and a final re-check; it never edits the manuscript by itself and requires Agent Teams to spawn teammates.

Manage local skills across AI agents with version comparison, shared-directory consolidation, and recoverable migration and deletion.

Skill management panel inside DeepSeek Harness settings: lists global and per-project skills, marks whether the running DSH actually loads each one, offers one switch that controls both model and slash-command invocation, previews and edits SKILL.md with the chat UI markdown renderer, and creates, imports (folder or zip) or deletes skills into a recovery folder. It only reads and writes the local skill roots (~/.dsh/skills and <project>/.dsh/skills) through its own Host routes behind the DSH Connection trust fence; no telemetry, no outbound requests, no credentials.

Connects litman, a local literature manager driven by the `lit` command, to DSH: a sidebar entry lists your litman libraries and opens one as a workspace in a new session, and a bundled skill, after asking you, installs litman with its official installer and connects litman's own skills.

Bridges the shared ~/.agentloom store between DeepSeek Harness and Codex: injects the shared memories and the AGENTS.md entries the context budget truncates into the system prompt, and adds six loom_* tools for status, sync, memory search/list/add and skill listing. Requires the agentloom CLI installed and a one-time agentloom init; the seven-tool MCP bridge in the same repo is a separate package for MCP clients.

Elysia's memory plugin for dsh. One shared, human-editable MEMORY.md across every session: two-disk mirror, history snapshots, cross-process write lock; entries tier between the main file and a searchable archive by hit frequency; retrieval is keyword co-occurrence plus BM25. Nine sections (persona, requirements, corrections, lessons, methods, requests, sessions, method library, ingested docs) plus a dedicated self-identity section for a character's own self-cognition, injected above the persona. Ships an opt-in memory pack (packs/elysia: 61,903-char identity + 2,482-char persona, distilled from 1,696 officially-confirmed voice lines and 112,175 dialogue lines — not written by hand, measured) that is off by default, backs up before writing, only touches identity/persona, and can be uninstalled. Also opt-in voice playback through a local GPT-SoVITS engine, a skills library, and a sticker library that sends a fitting sticker at the right moment.

DSH Harness plugin: keep preset skill directories and link their skills into the user skill root (directory junction on Windows, symlink elsewhere).

Backs up and restores the whole DSH profile through a private Git repository: profile configuration, per-plugin settings, skills, installed plugins and MCP servers, with one-click backup and restore and a restore point written before anything is overwritten.

MiniCut tools for making multi-shot AI short films through the MiniCut CLI: status, next step, and run, with a price shown and the user's yes required before any paid job.

Local-first resume warehouse for DeepSeek Harness: package your work into reusable bullets, import an existing resume into a template, analyse a job description (including the school-tier preference it implies), assemble a tailored Chinese or English resume and export a PDF named position-name-school. The whole app ships inside the npm package — server/, web/, skills/, scripts/, requirements.txt, no git clone needed — and one tool starts, stops and health-checks it; the first start installs the dependencies into app/.venv. Needs Python 3.10+ and macOS or Linux (bash). Nothing leaves the machine except the LLM calls you confirm.

UML class diagrams for DeepSeek Harness — interactive HTML from code or JSON

Unofficial DeepSeek Harness port of the Academic Research Skills plugin (CC-BY-NC-4.0, non-commercial): 5 skills, 16 /ars-* commands, 4 agent roles, write-scope guard, and deterministic Python gates.

Adds a Vivado session preset to dsh with an FPGA engineering-discipline persona (global serialization, pure-ASCII paths, evidence-first conclusions, detached long builds) and mounts eight bundled AMD/FPGA skills from the package itself; installing the preset needs no Vivado or vivado-mcp installation.

Registers the hosted SpecStream MCP server with the harness MCP manager and keeps the API key in the credential store. The server returns live web data as structured rows, each value with its source URL, and a run starts only after the quote's maximum is approved.