Плагины

Telegram channel for DeepSeek Harness — real Telegram markdown, and answer the agent's questions and approvals straight from chat

Zero-intervention permission gate for DeepSeek Harness (DSH) agents on macOS — active on install. Writes that can be undone via a local git baseline or macOS Time Machine are auto-approved and automatically snapshotted; network access, package installs, process/system management, and reads of sensitive credential paths are blocked; every decision is audited — the audit log keeps everything by default, with optional automatic cleanup of the oldest records.

Manual model probe for DeepSeek Harness: a session-view tab where you pick provider, API type, model and route, then send one real raw HTTP request over openai-completions, openai-responses or anthropic-messages — streaming or not — and read latency, TTFT, HTTP status, token usage and a three-layer diagnosis chain (API request / model response / strict check) on one screen, with errors in plain language.

Indexes the current workspace into a relation graph and exposes one agent tool, codegraph_explore, for reachability, callers, and impact, plus a Web sidebar graph pane.

Figma design context for the agent: reads a frame's node tree, auto-layout, paints and typography, resolves the variables it is bound to, and renders a screenshot to compare code against — plus four bundled design-to-code skills. Connect with one button against Figma's own consent page; the plugin ships its own OAuth app, refreshes tokens automatically, and never asks for or displays a token.

Hard stop for runaway turns: blocks repeated identical tool calls and ends the turn when per-turn step or time budgets are exceeded.

Local relationship-memory workbench with a confirmation gate: every AI write — extracted memories and newly created contacts alike — lands in a pending queue until the user confirms it in the GUI; materials are archived verbatim with quote-level provenance checks on AI extraction, and confirmed memories aggregate into per-contact timelines, gift occasions and reciprocity views. Ships a native relationship agent preset for conversation capture; JSON storage by default with an optional SQLite backend, zero production dependencies.

Session health check for DSH, read-only: scans the whole session library (totals, largest sessions, warnings for oversized sessions and event-count blowups) and deep-inspects a single session log (tail-balance / crash-tail check, tool-call/result pairing, event-type distribution).

Rotate the outbound LLM session ID after each successful DSH compaction without creating a new DSH session.

Create and configure Agent presets from a single settings section — persona prompt, a checked knowledge-base entry list injected into the system prompt, individual switches for four knowledge-base tools, per-Agent narrowing of MCP connections, and batch knowledge-base import.

Registers the Xunfei Loomy cloud channel as an OpenAI-compatible supplier in dsh-router, adding model listing and streaming chat completions.

Replaces the chat input model picker with a provider-grouped, collapsible list: groups models by provider, folds vision-bridge mirror providers back into their upstream, and carries the reasoning-effort options each model declares in settings. Tested on DSH Desktop only; the DSH web build is untested.

Prompt scene picker for DSH: choose a scene from a dropdown and it opens a new session with the prompt already filled in (with {variable} placeholders), so you only tweak and send.

Zen Mode view tab and foreground time tracker for DeepSeek Harness: while the agent works, a calm conversation view shows running/done status, your latest user message, live activity hints and the final AI reply in markdown with one-line turn stats, plus screen-watching (focus) time tracking with daily/weekly Zen scores, a chat-hide toggle that hides tool calls and reasoning rows, auto enter/exit Zen on task start/complete, an Alt+Z shortcut and a Zen settings panel — pure client-side, stored in localStorage, no network.

A full-page console panel opened from the sidebar, with eight tabs: an overview; a session list read from the sessions service (title, directory, running state, updated time, with filters); installed bundles and Loader entries from pluginInventory and pluginManager, with per-bundle enable switches; a plugin market listing public topic:dsh-plugin repositories from the GitHub search API; a model and provider editor that writes the llm-pi-ai settings namespace through remote.settings.mutate (switch a session model, add or edit providers and their model lists, and store API keys via remote.credentials, merging over the stored profile so fields the form does not expose survive an edit); MCP and skills tabs; and a usage tab that reads the host's loopback /api/dsh-usage/overview document. Services are declared through ctx.inject, so a deployment that omits one mounts without the console rather than crashing.

Expose every model already configured in your local DeepSeek Harness to the LAN over OpenAI- and Anthropic-compatible endpoints, with API keys, per-key rate limits, a circuit breaker, model filters and usage reports.

Standalone read-only Linux server monitoring sidebar for DeepSeek Harness

A clickable wooden-fish desktop pet for the DeepSeek Harness web GUI. Click to knock; counts per day with a calendar heatmap of your streaks in settings.

DeepSeek Harness skill plugin that reviews law theses (international economic law and other legal topics): reads a student Word .docx, checks it against a bundled common-issue checklist, applies definite fixes as tracked changes, and adds Word comments for overall/section problems and missing-basis issues, then emits a short objective overall review plus a fix list.

Keeps a redundant sandbox-escalation argument from failing a tool call. Escalating tools (pwsh, bash, write, edit) advertise the full sandbox_permissions enum, but DSH only accepts a level strictly wider than the one already in effect — a check its own source calls 'deliberately not a schema constraint'. A model that reflexively passes the argument therefore picks the level it is already at and the call dies before running with 'sandbox escalation to "workspace-write" is not strictly wider than this call's current "workspace-write" mode', costing some models a whole turn of retries. This plugin registers one tools/execute waterfall listener and, only on that documented rejection and only when the arguments really carried an escalation field, re-issues the identical call once without it. Safe by DSH's own documentation: the rejection precedes any execution ('nothing has run'), and the corrected call cannot match again, so the retry is loop-free. Reproduced and verified end to end — before: isError true, the command never ran; after: the command's real output, isError false, one tool/call and one tool/result. Zero dependencies.

Manage Proxmox VE through conversation: 116 read + 116 write tools covering VMs, containers, storage, nodes, clusters, backups and firewalls, with API-token or username/password (ticket) auth.

Ships a skill plus six Node scripts for a DSH install that will not come up - walking the boot stages before readiness, the plugin dependency bridges and junctions under a profile, dead or duplicated plugin rows, and the upgrade path. The scripts are diagnostics first; the rebuild helper only writes when it is given --fix.

Bridge a Feishu bot to a DSH session: open a real session in a workspace, run tasks with the existing model and plugins, and report results back.

Runs git init in each newly registered DSH workspace, with an empty initial commit by default, so git-aware plugins have a repository to attach to; directories already inside a work tree are skipped.