Plugins

Copilot-style file review for DeepSeek Harness: inline per-edit diffs, whole-file Changes sidebar, shell write guard, Keep/Undo and persistent per-turn Restore Checkpoint.

Meshy skills for DeepSeek Harness: textured, rigged and animated 3D models or print-ready files from text or images, through meshy-cli, with a Meshy settings page and a 3D preview for GLB files.

Fetches AOSP source snapshots from codeload and searches them on the device with ripgrep through nine tools covering mirror listing, preset bundles, fetch, incremental update, cross-module regex search, a heuristic call-chain trace and line reads, with no git, no root and no build.

Replaces the chat's "Deep diving" waiting label with rotating fun phrases, editable live in Settings.

LAN pets for DeepSeek Harness. Neighbors' pets visit your desktop, and yours can visit theirs with a note or file along. Desktop pets need DSH Desktop (Electron) on macOS or Windows; on Linux or the web profile, discovery and visits still work but the desktop layer is unavailable.

Two columns for the dsh Plugins page, Minecraft resource-pack style: the left column holds the packs running together, the right holds packs that are installed but switched off, with arrow or drag moves between them, custom tags, search, scope filters, batch toggling and undo. Tags and display names live in a hand-editable packs.json under DSH_HOME instead of browser storage, so they survive a new browser or cleared site data.

Back up and restore DSH plugins through your own private GitHub repository — list, versions, configuration and local sources included.

Sidebar supervisor for installed DeepSeek Harness plugins: health, DSH compatibility, updates, usage frequency, per-plugin token cost, and local version backups with rollback.

Loopback HTTP bridge that lets a peer machine ping this PC and run shell commands, with an optional ssh reverse-tunnel supervisor.

The mobile client for DeepSeek Harness: use the DSH running on your computer from your phone. The Android app signs in with the same account, picks this computer from the device list and opens its DeepSeek Harness UI on mobile. The desktop plugin handles registration and the connection, and nothing on the computer needs an inbound port. The UI adapts on its own: on a phone it becomes a touch-friendly layout, and returns to the desktop layout when a foldable opens or the window gets bigger. A PC-side panel shows login state, device quota, device list and the app download QR code.

Security review for DSH plugins: reads the manifest, install hooks, native dependencies and source for network egress, dangerous APIs and credential paths, cross-checks the curated market registry, and returns a 100-point verdict with itemised findings. Read-only — it never executes the audited code.

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.

Closes DeepSeek Harness runner processes that stay alive after their shell command finished on Windows, reclaiming about 140 MB each. A runner is closed only when its shell is gone and it supervises nothing, as a workaround for the runner not exiting by itself.

GitHub console inside DSH: token sign-in, repositories, issues, PRs, commits, notifications, stars and activity, one-click cloning that keeps itself up to date, and a categorized skill library that installs GitHub skill projects for the agent.

Local-first task workbench for DeepSeek Harness with today, week and all-task views, single-day and multi-day tasks with optional times, a four-state idea pool, and daily/weekly/monthly reviews that only a human can write.

AI-native iteration cycle: 24 anic_* tools and 77 HTTP routes that run evaluation, convergence gates, and auto-fix loops across projects, with a live white-box panel (interactive workflow graph, invocation feed, autonomy gauge, gate ledger, HITL queue) and an inline installable SKILL.md workflow kit.

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.

Tells the parent agent when a subagent died from an upstream failure instead of finishing: it listens to agent/error on every agent, waits a short settle delay, and if the child is still not running delivers a followup turn to the parent carrying the child id, the failure and the options the parent has, with a cooldown and a per-child cap so a flapping provider cannot flood the parent.

Configurable serial agent-team workflows with a Manager, role Actors, an independent Judge, and a visual workflow editor.

An on-demand Chinese editing skill that reduces formulaic phrasing while preserving facts, uncertainty, genre, and author voice.

Reusable experience for DeepSeek Harness: save a successful task as a structured playbook, recall it later as a native skill, and gate deliveries behind user-confirmed checks that require objective evidence before write actions are allowed.

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.

Streaming video preview in the DSH sidebar — mp4, webm and mov play in place over an authenticated byte-range route, with 206 responses, instant seeking, no size cap and no build step.

Renders .ttl, .owl, .rdf, .jsonld, .nt, .n3, .nq and .trig ontology files as an interactive graph in the DSH sidebar preview, with local Turtle, N-Triples, RDF/XML and JSON-LD parsing and no runtime dependencies.