Plugins

An always-on working style for DSH agents, packaged as an agent preset: restate the task, read before editing, verify each change with a real command, keep context lean. Ships 29 skills (plan loops, review loops, TDD, unsticking, PR watching) plus a turn guard that pushes back when a turn edits files without a successful check afterwards, and pushes back harder on a second miss.

Luna preset for DeepSeek Harness — a little-demon persona on the full standard tool set, composed by six deterministic rule layers (perception, understanding, state, style, regulation, memory) plus a derived vitals layer, with a gated, suppressible cross-session memory file.

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.

Two-way WeChat bridge for DeepSeek Harness via the iLink protocol: bind your personal WeChat with a QR scan and chat with a local DSH agent from the chat box (text, images, voice-to-text, files); a web settings panel handles binding/start/stop/status, project-session binding continues the conversation on desktop, proactive wechat_notify pushes include throttling, and the pure-Node daemon runs on Windows/macOS/Linux.

Virtual product team agent preset: user-led conversation walks you through the full 12-step pipeline from idea to shipped, promoted and operated product, with staged gates and per-stage skills.

A fifth DeepSeek Harness work mode that requires a falsification design (at least two pieces of evidence that could disprove the plan) in every plan and tags each factual claim with its source (\[文件]/\[检索]/\[记忆]) or \[未知]; evidence grading follows the project's AGENTS.md.

Named subagent presets bound to model-route allowlists, where an out-of-list child model is refused before a delegation starts and each child conversation shows the model its last request actually used.

Adaptive topology multi-agent preset for DeepSeek Harness with peer messaging, task handoff and live network visualization.

GLM Mode agent preset for zhipuai/glm-5.3-flash: PTC/Code Mode tool presentation, a reasoning loop guard and a tool spin guard (live-incident driven), and GLM-specific auto-compaction at 75%/22%.

Cron job board: schedules local scripts or dsh session tasks (fresh or pinned sessions) by cron expression, with inline timezone suffixes (T±N), per-task model and agent-preset selection for session tasks, centralized environment-variable management, run logs, per-task concurrency limits and a per-task timeout for script runs.

Agent preset that turns multi-stage objectives into resumable flows: refereed stages, SHA-256 lock identity, an HMAC-signed terminal review gate and event-sourced run logs; ships 15 agent tools.

Learning Mode agent preset: a coding agent that teaches while coding — concrete scenario-grounded explanations, Socratic guidance, and TODO(你) practice blanks, modeled on Claude Code's Learning output style; installable via dsh plugin add (dsh-learning-mode on npm).

Adds a Drawing Mode agent preset whose 19 comfyui_* tools drive a local ComfyUI: Anima and Krea2 generation, LoRA search and download, Danbooru character tags, PNG metadata, an upstream repro check, and xiaofanqie de-obfuscation.

DSH Agent 预设：鲸鱼娘（DeepSeek娘）——完整干活能力 + 人设，开工吐槽、收工讨饭，按概率发表情包（设置页可调）。

Lead-mode agent preset plus two runtime skills for the official Agent Teams runtime: a delegate-wait-verify working method, and a wrap-up digest that merges several members' output into one file. Ships no team runtime of its own.

OMC-style multi-agent orchestration for DeepSeek Harness: 29 omd-* skills and 12 /omd-* slash commands over the plan-execute-review-verify pipeline and team/autopilot/ralph modes.

Preset-mode badge embedded in the "New Session" button: click to pick the default agent preset for the next session (long names truncate with ellipsis so the label stays readable).

Enhanced auto-compaction defaults for DeepSeek Harness agent presets: apply tuned threshold/retention budgets and per-model policies with one command, idempotent with backups and rollback.

Multi-agent software engineering and security audit workflow with 8 role presets (Captain, CEO, Designer, Eng Manager, Reviewer/CSO, Builder, QA Lead, Release), 4-Wave DAG scheduling across 6 default concurrency slots (1-12), PostgreSQL Wire Protocol v3 + SQLite WAL fact store, 29 skills, and a docked right-panel web console. A fork of Jueze-2019/dsh-redteam-mode that keeps its package name, mount ids and redteam_* tool names, so the two cannot be installed together. The fact store uses PostgreSQL when REDTEAM_PG_URL, DSH_PG_URL, DATABASE_URL or PGHOST is set in the environment and a local SQLite file under $DSH_HOME/redteam otherwise; role presets are written to $DSH_HOME/.agent-presets/redteam.

The unofficial Simplified Chinese fork of the tri-agent agent preset (Atlas orchestration plus Prometheus planning), packaged for DeepSeek Harness as a Cordis bundle; the vendored upstream content is licensed under SUL-1.0.

Agent preset: one session runs a three-phase auto-development pipeline — interactive design with parallel research subagents, goal-driven development with reviewer/developer subagents and per-package budget ledgers, then an acceptance fix loop.

Ultra-lean daily coding agent preset for DeepSeek Harness (dsh) that strips heavy orchestration for fast, direct tool execution.

Windows minimal agent preset for DeepSeek Harness: fixed one-line persona, three tools, no runtime context.

Git worktrees for DeepSeek Harness — isolate parallel work in its own directory and branch. Ships Fast mode (快速模式).