Plugins

A fixed-corner whale widget for the DSH web GUI — balance, today's usage and per-turn cost with peak/off-peak pricing, editable balance-alert and daily-budget bubbles, a module-based custom bubble queue with A/B weighted choices and random lines or images, 30+ vendor templates (OpenAI, OpenRouter, Kimi, SiliconFlow, Ark, Zhipu, MiniMax and more) with per-model balance and subscription quota, plus task-end sound, imported audio, custom roles and a resource manager. Local-only, no telemetry.

NextTavern is a long-form roleplay plugin for DeepSeek Harness 0.1.7-rc.2 Web, with character-card import and creation, worldlines, worldbooks, layered long-term memory, keyword/semantic/hybrid retrieval, character agents, and card or novel export. SillyTavern character-card import is supported; v0.2.9 fixes distribution and installation.

Red-team engagement mode: send one target organization name and a planner session runs a five-role execution team (recon, asset triage, vulnerability discovery, exploitation, internal pivot) under a configurable concurrency limit; preflight checks skills/resources and asks once for missing keys or VPS; scoring follows the 8-category / 25-point merged intrusion rules with server-side caps, highest-privilege-wins and per-service dedup; findings stay in a local SQLite fact base with discovery times. The persistent right-side console has five sections / ten pages (situation, assets, findings, report, resources), follows the selected session, and includes asset mapping, agent roster, tunnels, findings, attack chain, score targets, reports, a category-organised POC/EXP knowledge base and a skill library that explains every unusable skill. Reports now download with the target's name, include the same full actions/requests/credentials/tunnels/attack-file paths as the page, and avoid false reproduction gaps. Ships 16 bundled recon/assessment skills including DeepSeek Search/Fetch public-intel, 56 redteam_* tools and one-command self-update; attack-chain skills remain a separate toolkit Release attachment.

A Claude-persona desktop pet pinned to the bottom-right corner of the DSH web GUI — shows balance, today's usage, peak/off-peak pricing and per-turn cost, with editable bubbles (text, balance, usage, pricing, images, random lines and weighted choices), per-line styles and fonts, a floating quick editor, sound effects, and custom character/audio. Ships animated roles that breathe and blink, plus a balance-alert variant that switches to a crying face when the balance falls below the alert line; 256/384 animation tiers and an optional 512 HD pack installed from the resource manager. 63 Claude-flavored lines. A derivative of MeteorNOX/DeepSeek-Balance-Whale-Widget (MIT).

Secure remote access for the DeepSeek Harness Web UI: a login gate, MFA/TOTP, signed session cookies, optional admin/user/guest roles, in-browser workspace selection, and allowlisted remote file previews.

Feishu/Lark bridge for DeepSeek Harness: scan-to-connect PersonalAgent binding, streaming cards, git-worktree project workspaces, parallel per-scope tasks, multi-role agents, cross-session notify, in-chat model/key management, and a safety-net guardian that still answers in Feishu after dsh crashes.

Multi-agent workflow for math-modeling contests: the "UltraMath" preset runs a problem from reading through framework, derivation, coding, verification, paper and review, plus 4 single-stage role presets (mathematician, engineer, writer, reviewer) and 33 model-library skill docs.

A DeepSeek Harness (dsh) plugin — turns dsh web into a SillyTavern-style roleplay frontend: character cards, prompt presets, lorebooks, personas, BM25 long-term memory, world-state deltas, and rollback-able floor operations, all on the dsh agent runtime.

One-click prompt enhancement in the composer — rewrites the draft into a structured prompt (role and goal, executable steps, output format, acceptance criteria, edge cases) with before/after preview, fill-back, and undo. Never changes intent, never fabricates requirements.

Multi-CLI worker sidebar for DeepSeek Harness 0.2.0-rc.2 on macOS and Windows, with task dispatch, live conversation views, stop and follow-up controls, and custom role presets.

SillyTavern-compatible roleplay with character cards, presets, world books, and swipe branches that restore their continuations alongside native DSH conversations.

One-click optimization of a raw instruction into a professional prompt: three output styles, situation-aware role/task/goal profiling, multi-sample selection scored by a model judge, self-iterating learning (session memory + smart defaults + user overrides), /template for 22 sub-scenes with zero model calls, input-box ✨ one-click optimize/undo, prompt_optimize tool, auto-optimize hook, a runtime status page, a settings panel (dsh 0.2.0) and auto-detected zh/en documents.

Role-based LLM retry & fallback strategies.

Role-play conversations with character cards, in-chat character-card authoring and editing, and image generation through configurable backends.

DeepSeek Harness bundle registering one skill that turns long-form production (academic papers, industry analysis, business commentary) into a 9-role pipeline: T1 literature / T2 data / T3 case scouts running in parallel, T4 analyst, T5 writer, T6 critical companion, T7 auditor, T8 finalizer run by the coordinator, T9 peer reviewer — across 6 phases with triangular evidence verification, a 26-check M-gate (25 scripted checks plus one human checkpoint), a G0-G16 audit including a Chinese AI-trace gate, peer-review scoring with journal matching, and 4 human checkpoints. Installs with `dsh plugin add lunheng-article-pipeline` (package.json#dsh.bundle.patch plus a lib/index.js entry that registers the skill); ships role cards for T1-T9, templates and 36 zero-dependency verification scripts, with five-language READMEs.

Per-subagent LLM provider/model selection with role templates.

Role-based LLM retry & fallback strategies.

Role-based LLM retry/fallback strategy.

Role-based Codex / Claude Code / ACP subagent providers for the DeepSeek Harness — continuable children, durable session recovery, per-role product permissions, and delegation with a permission ceiling.

Agent governance kingdom for DeepSeek Harness: territories, role bindings (bind/unbind/session with model/agent identity), and a plan→assign→execute→review task loop where Worker claims never auto-complete (Claim ≠ Fact), with a local GUI operations console.

Match your models and token budgets to each role, then let DSH delegate specialized subagents by task type. Covers architecture analysis, UI/UX, code implementation, codebase exploration, and documentation research, with automatic setup plus per-role reasoning effort and tool permissions.

Brings WorkBuddy desktop-app experts into DSH: a settings-page market scans the local WorkBuddy expert directory (experts land there after you summon them in WorkBuddy) read-only for browsing, search and category filtering, with one-click install (exported to ~/.dsh/experts/ as role prompt + skills + avatar), update and uninstall; a picker capsule next to the input box switches the current session's expert — swapping role prompt, skills and an optional tool whitelist wholesale while keeping full session history, applied at the next model-request boundary.

Custom modes / assistant manager: give each mode its own system prompt in the settings page — a custom prompt that is a plain file the agent loop re-reads before every model step, so an edit applies to the running session on its next step — and start it from the official standard / PTC / minimal / Cordis composition, toggling the plugin rows it mounts one by one (a custom plugin composition per mode), renaming it as you like. Several assistants coexist with their own prompts, so one machine can keep a coding assistant, a chat companion and a roleplay (RP) persona side by side — a multi-agent setup you pick from per new session. Rows left untouched stay byte-identical to the shipped ones, platform conditions included.

Role-based multi-agent team for DeepSeek Harness — your digital workforce. One goal assembles a team of product, architect, frontend, backend, reviewer and QA roles that deliver through a nine-phase gated pipeline, plus a persistent team you can keep directing across sessions. Zero runtime dependencies, no build step.