Workflow & Automation

DSH Automation is a community-maintained DeepSeek Harness (DSH) plugin, not an official DeepSeek AI product.

dsh-agent-teams turns the current DeepSeek Harness session into a captain that can assemble durable sub-agents, split a goal into dependency-aware tasks, and coordinate work through direct messages.

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 23-check M-gate, a G0-G14 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 11 zero-dependency verification scripts, with five-language READMEs.

Native conversational image generation for DeepSeek Harness: ask the agent to create an image, and it handles generation and keeps the result directly in the conversation.

Installs four multi-agent math-research presets for DSH: v2 (probability-driven pipeline with multi-verifier debate), v3 (paper-style Markdown knowledge base with a planner agent and a reusable method library), v4 (persistent self-organizing residents that message and meet), and v5 (a research institute with an academician who decomposes and assigns work, voting researchers, temp workers, group chat and a compare-and-set task board); all four support checkpoint resume, human intervention, and an optional Lean formal-verification switch (off/encourage/require) whose passing proof turns the vote into a fidelity check of the Lean statements.

Automated Cron Scheduling, Background Automation & Agent Execution Engine for DeepSeek Harness

Preset engineering workflows for DeepSeek Harness: a dev_task tool that gates stage transitions, artifacts, verification, review and commit scope, plus a web workbench for installing project or user skills and rules.

Task board for DSH: create tasks with project and model assignment, run them manually or on cron schedules; new sessions in a project automatically pick up its todo tasks and move them to in-review when done.

Pre-visit due diligence and company research in DeepSeek Harness for customer background checks and risk briefs, with Qichacha MCP tool-call budget approval and entity confirmation.

dsh-claude runs the locally installed Claude Code CLI as a first-class conversation provider inside DeepSeek Harness (DSH). It uses Claude Code's official Agent SDK protocol instead of recreating the agent with a separate API client.

Role-based AI swarms for DeepSeek Harness: an architect plans, parallel builders execute, reviewers gate quality, and an integrator ships. Per-role model pinning with fallback chains, review loops, evidence contracts, human-gated reviews, quota-aware pause/resume, and a live kanban + flow chart in the web GUI. 40 tests; installs from GitHub or npm.

Per-round thinking-level (reasoning_effort) control for DeepSeek Harness: pick Auto and it schedules low/high/max from the recent tool-call history, or fix a wire level (off/on/minimal/low/medium/high/xhigh/max) manually, with custom wire mapping, a model-aware capability guard, and context-window presets (64K–1M); its per-model capability card pairs with a separate plugin, [dsh-llm-openai-completions](https://github.com/drscrewdriver/dsh-llm-openai-completions) (installable from dsh-market), so custom OpenAI-compatible gateways (vLLM / LM Studio / self-hosted) can try reasoning — the card writes llm-pi-ai capabilities, the adapter drives the wire (compat.thinkingFormat), and this plugin auto-maintains the takeover list.

Installable DSH bundle: the dsh-plugin-guide plugin-development knowledge base as an on-demand agent skill. Official docs archive (EN/ZH), Cordis primer, 114-repo community archive, 1654 archived Discussions, 20+ battle-tested pitfalls.

Role-based multi-agent team for DeepSeek Harness. The /team command assembles up to 12 specialist subagents (product, architect, researcher, UI, backend, frontend, database, security, reviewer, QA, DevOps, docs) and runs a nine-phase gated pipeline (clarify, research, design, spec review, plan approval, implement, review, test, deliver) over a shared workspace of artifacts (SPEC, PLAN, TASKS, STATE, REVIEW, TEST). Quality gates are enforced by plugin code rather than requested in prompts: an unfinished task cannot be marked completed, quality findings must be adjudicated by the reviewer or QA role, and coverage gaps or rework over budget appear live in the overlay and in /team status. Ships a live team overlay (phases, roster with per-role models, task DAG, artifact preview, decision buttons), a persistent-team mode that resumes across sessions, and per-run token and time accounting. Zero runtime dependencies, no build step.

Long-lived AI companions with isolated memory, WeChat channels, Skills, schedules, heartbeat concerns, and a dependency-aware task board.

⭐ If you like this plugin, please star it on GitHub — it shows me that the plugin is useful to you and motivates me to keep developing it. 🐛 If you find a bug or would like to request a feature , open a GitHub issue in any language — I will review your proposal and implement useful suggestions in a future plugin version.

Engineering-discipline guard: requirements grill before the first edit, red/green test-evidence gates, forked adversary review, and a delivery report with a per-dimension verification workflow.

Verifiable research-report engine for DeepSeek Harness with a content-addressed evidence ledger, versioned sealed reports where every claim carries a verification verdict and the manifest hash seals the directory, and retrieval orchestration that reuses the ctx.web and ctx.jobs seams.

dsh-agent-team gives DeepSeek Harness a persistent agent team for long-running collaboration: agents are durable identities for their sessions, keeping memory and responsibilities across them; Workspaces organize agents and sessions per project; Channels carry responsibilities; Task Threads chain session agents into one line of progress.

Scheduled tasks: run a prompt on cron schedules, each run opens a new agent session to do the work, with workspace binding, manual run, session auto-naming, and a fullscreen task management page.

Tender search and bid intelligence in DeepSeek Harness with proposed project search, rule screening, human review and Excel/PDF exports using user-authorized Qichacha MCP.

Interactive long-session background agents for DeepSeek Harness: start a durable continuable child agent, watch its progress in the Web UI sidebar, message it any time, and interrupt it - all through the official subagent seam.

dsh-qa · QA Workbench — A local software testing workbench plugin for DeepSeek Harness. Zero-dependency test project & iteration management with AI-assisted requirements, test cases, defects, milestones, reports, kanban and calendar.

Trellis-style workflow for DeepSeek Harness: per-turn phase breadcrumbs via agent/pre-step, bundled skill provider, and DSH-native task/phase state with git-cleanliness guardrails.

All-in-one combo patch for STARDUSTLC's 18 DSH plugins: one command injects shared default configs across office, media, DevOps and notification presets; each component installs directly via a one-line add command (flat design, no git subdependencies).

dsh 桌面端的 iterate 质量指挥中心 + 经验银行插件（v3.2）。把 iterate 生态的同一套 review/fix loop 直接搬进 dsh 界面，新增质量门禁、经验银行、防御事件流与原生指挥操作。 The iterate ecosystem's quality command center + experience bank plugin for dsh (v3.2). Natively embedded inside the DeepSeek Harness (dsh) desktop client with quality gates, experience bank, defense events stream, and native command buttons.

Agent preset bundle for wish and task management: create wishes or tasks from conversation, opportunity-day check-ins, micro-actions, plus a memory store and progress charts in the web UI.

基于 DeepSeek Harness 的多 Agent PTES 渗透测试编排插件，支持自动化侦察、漏洞分析、验证与报告，使用 Docker/Kali 隔离工具箱 | Multi-agent PTES penetration testing plugin for DeepSeek Harness with automated recon, vulnerability analysis, validation, reporting, and Docker/Kali toolbox

Trust pipeline for deepseek-harness plugins: deterministic static scan (11 rules) + LLM-driven audit protocol + two-part scorecard, with optional runtime guard (T1 sentinel / T2 fs & child_process hooks) and honeypot decoys. Monitor-and-alert only — vet never blocks or kills on its own.

Ports all 38 opencode themes (33 TUI + 4 desktop 2.0 + system) into DeepSeek Harness: data-driven pipeline (JSON → color resolve → DSH override), per-browser persistence, monospace/proportional choice, five code fonts, and a system fallback that keeps typography only.

Config-driven development-task orchestration for DSH: graph workflows (task/gateway/human nodes) with per-stage persistence, plus an in-editor AI assistant that configures workflows through conversation with live validation. Hand documents to nodes as generic attachments (no declaration needed): files land in the task workspace and ${inputs.附件} gives the newline-joined absolute paths, so a node parses them with its own prompt.

EN: Scheduled send for DeepSeek Harness (DSH) Web — draft a message in the composer, tap ⏰, and it fires into the bound conversation as a normal user bubble at the set time. Runs host-side: close the browser, it still sends. 中文说明如下。

Models+ settings page for the DSH web UI: per-model reasoning-effort tables, input modalities and compat flags saved through the official settings pipeline, with models.dev metadata prefill and API key management.

A collaborative kanban board where you and your AI agent plan, organize, and ship work together—without leaving DeepSeek Harness.

Plan-and-execute orchestration over ReactLoopAgent — turns a goal into reviewable steps with a web UI plan card.

Minimal prompt x Web PTC capabilities: one-line persona, run_code SDK, subagents, Ralph, web search/fetch, and Windows Git Bash; the general-purpose workflow tool stays hidden.

A port of oh-my-opencode-slim's specialist subagent delegation for DeepSeek Harness (DSH): an orchestrator + 5 specialist roles, each with its own persona, model, tool permissions (toolFilter), reasoning effort, and MCP access. Delivered as a shareable DSH agent preset (with bundled configuration plugins), not a standalone application.

A cron scheduler plugin for DeepSeek Harness: schedule agent tasks on a cron expression — via natural language or a sidebar UI — and each job injects a user message into a target session at the right time, triggering a full agent turn.

Build teams of independent AI agents inside DeepSeek Harness. Mix models and providers, assign one Leader, and let every member work in its own conversation while sharing the same Workspace.

Orchestration-mode preset generator for DSH: a lead agent delegates to four built-in role helpers that carry only their own tools, and the web panel adds or removes custom helpers with their own tools, skills, and models, per workspace — zero changes to the harness source.

Novel-writing workbench for DSH with an authoring preset, outline and character management, manuscript annotations, review workflows, and a managed local Python backend.

Personal assistant for DeepSeek Harness that turns conversational commitments into cross-session plans, reminders, and an auditable dashboard.

DSH web GUI scheduled-tasks panel: sidebar management of DSH and system (crontab) tasks with natural-language creation and execution logs

Your AI learning companion: helping you plan your studies, understand concepts, and build projects to master a subject.

A novel-writing workbench for DeepSeek Harness: you tap thumbs-up or thumbs-down on candidate passages, and the model distils them into a short preference profile that carries into later drafting calls while the manuscript stays out of the drafting context. Adds a chapter board, per-chapter writing packs, annotation-scoped revision that rewrites only the annotated paragraph and verifies the rest byte-for-byte, a project ledger, and local pacing checks.

Captain-led multi-agent teams that split a goal into tasks and dispatch them along an execution chain to members running in their own sub-sessions, each with its own model.

DeepSeek Harness plugin that gives Codex read-only planning/review roles while DSH remains the sole executor. Two flows share the same workflow engine:

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.

RTS-style multi-agent orchestration board for DeepSeek Harness: issue plain-language strategic orders, a staff agent drafts acceptance-checked task orders, commander agents deploy typed subagent troops on isolated workspaces — with a 3D starfield campaign view, append-only event logs, and machine-checked verification.

Cron/one-shot scheduled tasks: run shell commands or fire webhooks on a schedule, with optional ServerChan/DingTalk/Feishu/webhook delivery of results.

Programming Mode agent preset bundle: the standard coding agent with its persona mandating the Superpowers discipline (skills first, brainstorming before building, plans before code, TDD, systematic debugging, verification before completion) plus an always-on Ponytail code-volume discipline (7-rung minimal-code ladder, default full); ships all twenty skills bundled (14 superpowers + 6 ponytail) and mechanically injects the full using-superpowers skill into every new session's first request.

Peak / off-peak rate badges for DeepSeek Harness — per provider, per model, in the model selector and the composer tool row. Judges each provider by its own time zone and schedule instead of DeepSeek-only hours.

一个更快、更节省、更准确的 DeepSeek Harness 插编码件。在 SWE-bench Pro 最难的 100 道题中，回答耗时减少 36%，每题token减少 17%，正确率甚至增加了 5%。A faster, more accurate, and more cost-effective DeepSeek Harness plug-in component. Among the 100 most difficult questions in SWE-bench Pro, the response time -36%, tokens per question -17%, and the accuracy rate even +5%.

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.

You keep writing prompts the way you already do. Tacit watches how each turn actually went — retries, tool errors, and above all the message you send when the agent got it wrong — and turns your habits into a few directives the agent follows in every new conversation. No clicks, $0.001–0.003 per lesson.

Task Runner mode for DeepSeek Harness: the main agent decomposes large tasks into independent subtasks, dispatches them to subagents (default local model) in fresh short contexts, and synthesizes results; concurrency and worker/orchestrator models are configurable in the settings panel.

Runtime requirement drift guard that keeps long-running DSH agents aligned with the user's approved goal, constraints, and decisions.

Agent-driven kanban board: one board per workspace, per-task agent sessions, and a guarded human/agent workflow (Backlog → To Do → In Progress → Review → Done).

Agent teams for DeepSeek Harness: named long-lived teammates over ctx.subagents, a shared task list, a member-to-member mailbox, virtual workspaces, and a live team room in the conversation view

dsh-crew is a plugin for DeepSeek Harness (dsh). It turns your dsh session into a product manager (PM) that runs a crew of role agents: architect, engineer, test engineer, code engineer, QA, code reviewer, security reviewer, doc reviewer, and researcher.

Schedules workspace Agent runs in fresh Result Sessions with persistent audit history, using a stock DSH Conversation tab or a global Shell page when its slots are available.

Claude Code style /init command for DeepSeek Harness (DSH): generates CLAUDE.md and symlinks AGENTS.md to it

This is not another generic news reader, arXiv search engine, or paper summarizer. It covers the missing path from a curated primary-source signal to a versioned release evidence bundle and then to an auditable reproduction decision. Executed attempts are retained—including failures and negative results—and a successful exact/scaled claim requires commands, artifacts, measured claim results, and independent verifier evidence.

This is not another generic news reader, arXiv search engine, or paper summarizer. It covers the missing path from a curated primary-source signal to a versioned release evidence bundle and then to an auditable reproduction decision. Executed attempts are retained—including failures and negative results—and a successful exact/scaled claim requires commands, artifacts, measured claim results, and independent verifier evidence.

Model high-availability failover (quarantine, circuit breaking, probe recovery) and subagent orchestration (fanout/pipeline/supervisor) with bilingual settings UI.

Turn an idea into a reviewable specification, implementation plan, task list, and resumable DeepSeek Harness goal.

Interactive canvas for visualizing Agent, Subagent, Workflow, Phase, and tool relationships in DSH Web.

A DeepSeek Harness plugin that periodically detects added, modified, and deleted files in a workspace and reports the changes.

Host-neutral durable DAG workflows for Agents: CLI-native access, fixed MCP gateway, on-demand Skills, triggers, replay, and visual Canvas.

- GitHub Personal Access Token account management with secret-free summaries. - GitHub REST repository listing for github.com and GitHub Enterprise API URLs. - Local Git operations: clone, fast-forward pull, status, commit, push, and force-with-lease. - Sidebar panel with account, repository, local Git, and settings tabs. - Push and force push are disabled by default and are guarded on the Host side. - Token storage uses /.dsh/dsh-github.json with an atomic write and mode 0600. - Git HTTP authen

dsh-chaos adds a local collaboration workspace to the official DSH Web UI. Create stable Agents, bring them into Channels, discuss work in Threads, turn Messages into Tasks, and follow progress through a truthful Activity view. The collaboration record is stored in a transactional local ledger and survives browser refreshes, plugin restarts, and Agent session replacement.

An agent preset that turns a one-line idea into requirements, tech plan and maintenance baseline — every step is restated and confirmed by you before proceeding. No scenario presets: 73 atomic skills (6 master skills + a verify dispatcher + 66 sub-skills) load by context.

一个 DeepSeek Harness 插件，帮助用户将功能想法和错误反馈整理为清晰、注重隐私的 GitHub Discussions。A DeepSeek Harness plugin that helps users turn ideas and bug reports into clear, privacy-aware GitHub Discussions.

AI-for-Science research workflow skill for DeepSeek Harness, aimed at researchers and grad students using agentic AI: multi-angle literature review with per-angle files, experiment design with a caveat list, figures and paper reading; each job returns files plus a cross-verification brief for a second model. Zero deps, MIT.

dsh port of the shared handoff kit: handoff and task-id-bootstrap skills plus host-side automation — baseline state injection, per-turn snapshots with an Auto Log trail, task=<id> routing, continuation re-injection, a compaction guard with clear-required alerts, and read-only subagent handling — all writing the same .agents/state/ as the Codex, Claude, and pi editions for one-repo multi-agent handoff.

Synchronizes DSH profiles and local plugin source archives through WebDAV and S3-compatible storage, with encrypted snapshots, conflict-aware recovery, and explicit self-updates.

A DeepSeek Harness Web plugin that runs a user-defined command after the web profile has started successfully. 在 dsh web 启动成功后运行用户自定义命令的 DeepSeek Harness Web 插件。

Verifiable issue-to-PR delivery chain: an 11-stage pipeline (analysis, search, code understanding, hypothesis, planning, implementation, patch ledger, tests, review, failure classification, PR build) with 4 human review gates, GitHub/GitLab/CodeArts credential connections, a 5-page workbench and a draggable AI assistant panel.

Reusable subagent definitions managed from a Settings page and dispatched through a single delegate_agent tool; ships with a built-in read-only Explorer preset and a nested-delegation policy toggle.

PPT stage — presentation generation (Beamer/Quarto) from the paper for asset pricing and machine learning research. Ships one skill.

Model training stage — end-to-end analysis, model training, and estimation for asset pricing and machine learning research. Ships one skill.

Ships a skill about handing work to subagents instead of doing it inline - which tasks are worth fanning out, how many to run at once, how to send them in parallel, and how to check what they returned instead of trusting the summary.

Loopback-first multi-agent message relay: HMAC-authenticated broker plus dsh plugin (relay_send/recv/peers/history), zero-dependency CLI and Python clients, wire protocol v1.0.

11 shareable workflow skills (handoff, triage, to-spec, to-tickets, wayfinder, teach, wait-what, dsh-mode-routing, ask-matt, overnight-execution, full-throttle) as an installable skill pack.

Zero-credential Outlook automation: 13 tools that drive the local desktop Outlook client via COM — search/read mail, drafts, reply/forward, calendar, address book, rooms, free/busy — plus a sidebar new-mail badge. No Graph API registration, no SMTP passwords; anything that leaves the machine passes a three-layer human approval gate.

DeepSeek Harness plugin: first-class Git workflow tools for the model — repo status, diffs, commit creation with validated messages, recent history, and branches. No bare-shell git calls; every invocation is a shell-free execFile with path and message validation.

Runtime security gate on the tool pipeline: denies calls naming hosts outside an egress allowlist, redacts credentials from results at the canonical value rather than only the rendered content, and appends every decision to a JSONL audit log; ships in monitor-only mode.

Standalone DeepSeek Harness plugin. When the agent is ready with a plan, it opens the official Plannotator app — the real product, not a lookalike review screen in the chat.

Policy-driven Git sync for DSH settings and profile configuration, with secret-aware projections, conflict review, and per-line apply controls.

One-click launcher for DeepSeek Harness: detects whether the backend is running, starts dsh web if needed, waits until ready, then opens the main page in a new Chrome window. Ships a cross-platform CLI (dsh-launcher start / open / status / make-shortcut) and the harness_launch agent tool.

Delivers a prompt to the current agent at a fixed interval — ideal for polling, PR babysitting, and build-fix-test cycles. Aligned with Claude Code's /loop semantics, multiple loops can run concurrently in a single session. Delivered as an official bundle plugin (dsh.bundle + dshClient channel), 0 patch.

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.

DeepSeek Harness plugin: Claude-Code-style lifecycle hooks for DSH. Configure shell commands that run automatically before/after model tool calls (pre-tool / post-tool) with a JSON payload on stdin; pre-tool non-zero exits block the call.

Scheduled reminders and delayed send for DSH: /later delivers what you type as yourself at the time you pick, while the timer panel (or /schedule) posts a reminder row — even with the page closed. (scheduled send / reminders / delayed send)

Drives the GME Test Agent from inside Harness: three tools list interface catalogs, start and repair autonomous test generation in a local Python backend, poll the task until review, and keep PR, skip and cleanup actions behind explicit user consent.

- 导出：扫描 /.dsh（profiles 配置、settings.yaml、.agent-presets、vendor/ link 目录）；硬排除 .credentials.yaml/.env/.pnpm-store/sessions/storages/nodemodules 等；settings/presets 做字段级凭据扫描 + 脱敏，处理明细进 manifest（secretReport） - 打包：单一 .dshmig（zip），内置 manifest（版本、平台、文件清单、sha256 校验和、link 映射） - 导入：预检（同 OS、dsh 版本、磁盘）→ 备份目标机 → 默认新建 profile（ -migrated，重名自动递增）→ link: 路径重算 → vendor/presets/settings 还原 → pnpm install → 验证链（链接解析 → dsh --dump-config）→ 失败自动回滚 - 验证链：L1 pnpm install / L2 link 解析（junction realpath）/ L3 dsh --dump-con

Model-facing `generate_image` tool for text-only models: the model asks for a picture in natural language, Gemini draws it via the Antigravity CLI, the image is saved to a configurable output directory, and the tool returns the file paths for the model to use in its work.

DSH plugin that auto-continues a native continuable subagent once when it ends with explicit max-tokens termination — then stops. No loops, no timers, official seams only.

Unattended scheduled-jobs plugin for DeepSeek Harness (dsh): run agent tasks (spawn a one-shot agent to execute a prompt through the full dsh toolchain) or command tasks (run a script directly) on a cron expression, a fixed interval, or a one-time instant. Complementary to @deepseek-ai/dsh-schedule — that one is persistent in-session reminders, this one is a host-side job scheduler: jobs belong to no interactive session and fire automatically while the process is up.

Multi-candidate mode for DeepSeek Harness (test-time scaling): floating panel config, the agent auto-runs parallel candidates plus verifier selection, scoped to the current session.

SpecWorkflow is a shareable workflow skill pack for DeepSeek Harness and other Agent Skills-compatible tools. It gives an agent a disciplined path from a rough request to requirements, an implementation spec, code execution, delivery review, repair planning, bug diagnosis, and source-backed research.

Literature review stage — search, synthesis, and citation-chain tracking for asset pricing and machine learning research. Ships one skill.

Shut down Windows automatically after DeepSeek Harness tasks complete — a floating arm button plus a cancellable countdown banner (shutdown /a), zero runtime dependencies.

- omx question → askuserquestion（结构化逐轮提问） - Codex goal mode → DSH creategoal / getgoal / updategoal - 原生子代理角色路由 → subagent / subagentfork + 角色提示词 - tmux 团队编排 → workflow 工具 + 后台任务 - omx ralph CLI → DSH 原生 ralph 工具 - .omx/ 工作区约定（context / interviews / specs / plans）保留

Token-cost pipeline for DeepSeek Harness: pressure-aware layered compaction (lossless projection below 40% context pressure, LLM summarization above), per-agent tool allowlisting, long-text-to-image with vision summarization, and a /token-status command tracking pressure, tiers, and saved tokens.

Report stage — academic paper writing for asset pricing and machine learning research. Ships one skill.

Data stage — data discovery and quality assessment for asset pricing and machine learning research. Ships one skill.

Group-chat multi-agent orchestration console for DSH: autonomous decision-making, task dispatch, verification and iterative optimization for long tasks; bundles its own backend, installs with `dsh plugin add`.

TeamsX for DeepSeek Harness — turn one session into a coordinated multi-agent team: a captain spawns durable member subagents, breaks a goal into a dependency-aware task DAG, and coordinates through direct mailbox messages, with a live all-SVG activity panel.

Embedded task management engine: decision-point protocol, idea capture wall, Linear-style issue store.

- Lean & Responsive: Removes heavy orchestration layers (no present deliverables, goals, complex plan modes, sub-agents, or TODO trackers). Focuses purely on fast, direct coding cycles. - Essential Tooling: Retains core tools needed for day-to-day software development: - File reading, editing, and fast directory scanning (fs, fs-search) - Full-featured Bash execution (tool-bash) - Background asynchronous task management (tool-jobs) - External skill packs support (skill-filesystem, tool-skill) -

One repository that installs as both a Claude Code plugin and a DSH plugin: six engineering skills (research, architecture scouting, implementation orchestration, three-axis diff review, complexity audit, mutation testing) plus one agentforge tool dispatching five subagents.

Multi-machine, multi-agent orchestration and control plane for DSH: discovers Agents and workspaces across devices, routes tasks by machine, repository, capability, and load to local or remote Agent runtimes, streams progress and results, forwards approvals, and recovers durable tasks after disconnections.

Release status: QDD v0.1.0-rc.1 is the public submission-candidate line. This repository accepts reproducibility fixes, bug fixes, documentation improvements, and changes required by manuscript review. New research architectures are developed separately so this line remains a stable reference for the paper.

Douyin local-promotion OEM ad daily/weekly report automation (Author: Kirin): collects 3 data sources (laike leads, plan-level delivery, video analysis) via a one-time Edge login, computes metrics, builds A4-style docx reports, supports free-choice scheduled run times and email notifications.

This repository is an installable release mirror for @kasenri/dsh-browser 0.1.0. Canonical source: https://github.com/KasenRi/dsh-orbit-browser-plugins/tree/main/packages/browser Do not develop features here; publish changes from the canonical source monorepo. Community plugin for DeepSeek Harness (DSH). Not affiliated with or endorsed by DeepSeek.

Web Bridge is an automation MCP server that uses a real browser. It gives agents a browser's eyes and hands: open web pages, read page structure, click, fill forms, take screenshots, and execute scripts. Its core mechanism is the accessibility-tree snapshot — rendering the page into a structured text tree with numbered interactive elements, so agents can interact with pages precisely without a vision model.

Native headless and visible Chromium browser automation agent for DeepSeek Harness with DOM tree extraction, screenshot capture, and built-in SSRF protection.

Multi-agent isolated debate for DeepSeek Harness: debaters of different temperaments research independently (no herding), then cross-examine, then judges converge to a conclusion. Runs as a background job with per-agent progress, token accounting, wave-parallel execution, and session-referenced resume.

A gated math-modeling skill suite for DeepSeek Harness: a five-stage pipeline with stage gates, award-paper writing patterns, sensitivity analysis, statistical diagnosis, and a contest preset.

AI can write resume text, but templates may still look wrong, pages may overflow, whitespace may remain, and small edits can destabilize the layout. dsh-resume provides an end-to-end DSH workflow for truthful content refinement, template selection, A4 layout tuning, visual review, and tailored resume versions for different job-search scenarios.

Council of High Intelligence: assemble an 18-member think tank of historical figures for multi-perspective structured debate, with a live DAG side panel, SQLite run history, and per-project defaults via .council.yaml.

Visual workflow builder for DeepSeek Harness (DSH). Drag and drop nodes to orchestrate tool calls, sub-agents, and conditional branches into a workflow that runs through DSH's ctx.workflows engine. Powered by React Flow (xyflow) and Zustand.

Optimized fork of dsh-image-gen with batch generation (count), gallery pagination, lazy loading, fetch retry/timeout, and 7 providers: Gemini/OpenAI/Seedream/DashScope/Agnes/GLM-Image/Stability AI.

DSH 插件：主输入框 ✨ 一键把草稿润色成清晰、可执行的提示词，经 better-sidebar 侧栏对话多轮打磨后回填。A DSH plugin: ✨ one-click draft polish into agent-ready prompts, multi-turn side-chat via better-sidebar (>=0.16.1).

Persistent multi-model squads configured in Settings and selected in the Composer, with per-member model and tool policies. By default the lead Agent completes simple work itself and delegates only when the saved squad is needed; delegated work runs as a bounded DAG with optional review and repair. Run Center tracks retries and per-member tokens from official Harness usage events.

Disclaimer: This is an unofficial third-party tool. It is not affiliated with, endorsed by, or sponsored by DeepSeek or the DeepSeek Harness project. "DeepSeek" and "DeepSeek Harness" are trademarks of their respective owners. This project only orchestrates the workflow tool available in your DSH environment; it does not redistribute any DeepSeek software.

A local-first issue board plugin for DeepSeek Harness (dsh). It embeds a complete task board — Kanban / list / Gantt / workflow / dashboard views plus per-task AI chat — into the DSH Web GUI. Data lives in a local SQLite database (/.dsh/storages/dsh-taskboard/taskboard.sqlite); no external service, no cloud dependency.

dsh-routines — scheduled agents for DSH: run a prompt on a cron, get the digest where you already are (file digests, chatnode delivery, unattended-safe)

The first open-source plugin to package the anti-“low creativity” playbook for WeChat Official Account (公众号) content production — distilled from a real account that got flagged by the platform, went through remediation, and recovered. Not theory.

A disk-persisted execution-planning plugin: it stores the plan, execution state, field notes, and debrief of multi-step tasks entirely in the workspace .trail/ directory. Interrupted sessions, context compression, or restarting in a new session won't lose your bearings — just read the state and continue after resuming.

DeepSeek Harness (DSH) 代码参考检索与复用调查插件：开发前检索本地代码库与 GitHub/npm 开源项目，评估复用/改造/引入依赖/自制并询问用户，支持架构级复用。Code reference & reuse-survey plugin for DSH: search local code + GitHub/npm before building, evaluate reuse vs rewrite, ask the user, architecture-level reuse.

Captain is a dual-face DeepSeek Harness plugin that exposes one synthetic captain model route. GPT is the planner and independent reviewer, while DeepSeek workers make the incremental repository changes.

A model-facing DSH plugin that starts a subagent on a model-selected LLM provider and model. The model picks the route (provider/model); the deployment owns the subagent backend (subagentProvider, default spawn), the default scheduling policy (backgroundMode), and the route allowlist (allowedProviders). Per-call scheduling is overridable with the optional runinbackground parameter, exactly like the official @deepseek-ai/dsh-tool-subagent tools. Later turns of a continuable child reuse the offici

Execution flow chart: renders the current session's execution as a vertical node flow (turns, user, assistant, tools, approvals, retries, compaction), appended in real time over SSE with auto-follow scrolling — the chart draws wherever the session executes.

A local-first runtime for AI agents. Sessions, sandboxed tools, memory, credentials, audit trails, and a built-in Console — all running on your machine or in your own infrastructure.

Convert Office documents and PDFs (incl. scanned, via CPU-first routing OCR with lightweight models: PP-DocLayout-L layout, RapidOCR text, SLANet tables, FormulaNet formulas) to structurally-formatted Markdown. CLI + dsh agent tool (md_convert).

Run Stata through DeepSeek Harness: the native Stata AI Skill service auto-starts with DSH (macOS/Windows binaries bundled), so you can run regressions, do-files and econometrics workflows with no manual setup.

Consult multiple expert advisor models in a retro CRT chat-group card: one ask_advisors call runs an auto-deepen pipeline (driver deep-question, advisor relay, synthesis conclusion) with SSE streaming, 26 provider presets, a configurable daily quota, stop/resume, and optional advisor tool calling.

QA pipeline as 10 agent skills: requirement analysis, test strategy, case writing and review, E2E (Playwright) and API automation, exploratory, regression scope and bug analysis, backed by a shared knowledge base with format rules, risk model and schema validators.

Profile-wide DSH governance and routing with a Web Control Center for responsibility and evidence inspection, plus compaction, scoped semantic memory, safety continuity, and verified delivery; compatible with DSH 0.1.5-rc.1.

Cron scheduler with a sidebar UI: run shell, Python or Node scripts, skills, or agent tasks on a schedule, with push notifications and session archiving.

Captures every plan the agent presents through exit_plan_mode as markdown under <workspace>/.dsh/plans, opens a review window, and keeps a Plans history tab recording the outcome of each plan.

Preset workflow template library: 12 reusable orchestration script templates with wf_template_list / wf_template_search / wf_template_run / wf_template_validate tools and static template validation.

Lifecycle orchestration engine for AI agent teams with task-scoped Git worktree isolation, state-gated delivery transitions, and off-context memory.

Training attestation — reproducible, attributable, auditable off-site standardized training for asset pricing. Hard-gates four failure modes (half-refresh, hash mismatch, unknown-read-as-pass, master pollution). Ships one skill.

Kanban task board for DeepSeek Harness sessions: the main agent dispatches coding tasks to one-shot worker/verifier subagents, with dependency scheduling, pipeline tiers, escalation handling, and file/notes context injection.

Cron job board: schedules local scripts or dsh session tasks (fresh or pinned sessions) by cron expression, with centralized environment-variable management, run logs, and concurrency and timeout control.

Declarative task-DAG orchestration for DeepSeek Harness. This optional Cordis plugin registers a model-facing orchestratetasks tool, validates a bounded directed acyclic task graph before anything starts, and executes it through the existing ctx.workflowEngine.

SpecPowers — SDD+TDD engineering methodology as a DeepSeek Harness (DSH) plugin and Claude Code skill group: 6 skills fusing OpenSpec spec-driven development with Superpowers TDD discipline into one Phase 0→4 workflow.

Automatically sends "continue" to recover from RATE_LIMIT (429) and QUOTA (insufficient_quota) errors. Per-session consecutive-failure counter (default 20, configurable 1-100), a toolbar on/off switch, and a settings-page card.

Automatically orchestrates complex DeepSeek Harness requests. It detects when delegation is useful, builds a dependency-aware plan, assigns bounded researcher, architect, backend, frontend, tester, and documentation workers, collects structured evidence, and sends the results to a final reviewer. The bundle atomically enables the workflow engine and model-facing subagent tools; disabling the plugin disables its complete tool group as well.

Local media/doc pipeline: ffprobe, extract, thumbnail, PDF, ASR, pandoc, OCR, exif (allowRoots include IM inbox).

A standalone dsh (DeepSeek Harness) plugin bundle porting the omp "advisor" subsystem: a per-session independent reviewer model that observes the primary transcript, reviews each stepped turn with an explicitly configured model (provider + model are required), and injects severity-ranked advice (nit / concern / blocker) back into the session — without polluting or recursively reviewing itself.

发现问题(checkup) → 修复交付(fix) → 质量复查(review) 的对抗式闭环插件：基于官方 workflow 引擎的检查/修复/复查工具集

When a dsh turn gets interrupted — by a web restart or an upstream hiccup (rate limit, 5xx, quota error) — this plugin auto-injects a "continue" so your session picks up where it left off, with a dead-loop guard that hands back control if the retry produces nothing.

Claude Science-style research workbench: ReAct research-loop engine (research_* tools), versioned artifacts with provenance (artifact_* tools), and 10 science skills for genomics/pathogens/bioinformatics.

Gitee/GitHub AI employee: @ the bot on an issue (Gitee or GitHub), it clones the repo, implements the fix on the branch you name, opens a PR to that branch, and can auto-merge and auto-close the issue. v1.2 adds security scanning: configure scan repos, audit with built-in/custom prompts, deduplicate, and file new findings as issues.

Installs a multi-agent novel-writing preset for DeepSeek Harness: one conductor agent dispatches five specialized subagents — world-building, plotting, character management, prose writing, and QA review.

Self-media workbench plugin: 8-tab dashboard (daily brief, narrative lines, topics, drafts, knowledge-card distill review, sources, publish, advice) with hard guards (48h window, event dedup, card/line existence, read-only advice) and a read-only intel module following the four red lines.

🕒 &nbsp;Need recurring or one-shot coding work to run later without relying on an old chat? 🧭 &nbsp;Need each unattended run to stay inside an explicit workspace and permission boundary? 🧾 &nbsp;Need to inspect what ran, which revision it used, and how it ended?

Persistent personal todos shared across DeepSeek Harness sessions and projects: SQLite storage, Agent tools, a native sidebar and turn-tail cards, with user-managed workflows or optional dispatch of individual todos to Agent sessions.

Enhanced subagent delegation tools for DeepSeek Harness (dsh): per-call model / provider / persona / toolFilter overrides, @preset: persona references, and provider/model composite model ids — shipped as a standard bundle that patches no official package file.

DSH skill pack: legacy code modernization workflow (preflight -> assess -> map -> transform) with Cordis mount plugin, offline Python scripts and smoke tests

Engine-enforced guardrails for DeepSeek Harness agent swarms: quality gates reject half-done work, crash-safe checkpoints resume in place — keeps AI teams from breaking, not just running.

Before each top-level turn closes, dsh-proof spawns a read-only verifier subagent, collects its structured verdict, and steers any non-pass gaps back into the driving agent. It is the harness's missing "is the agent actually done" gate — no other plugin can substitute for it.

Plan Lattice is a passive continuity layer over DeepSeek Harness's native plan, Todo, Session, compaction, and subagent lifecycle. In default auto mode it restores exact authority already recorded by DSH only when a committed surfaceOp.replace removed its source from the model-visible Session. A cold resume reuses DSH's restored surface, and a fresh child receives only DSH's native standalone prompt. Auto adds no Lattice tools, state, contract, graph, or guard. A recursive graph and one-use acti

Folio (兰亭) @nyantused/folio-dsh-events: session-protocol events — auto session-start reminder + auto-save on session close; pair with @nyantused/folio-dsh-tools.

Drive a local or remote ComfyUI server from DeepSeek Harness: comfyui_run / comfyui_object_info / comfyui_workflow tools generate and edit images and videos, with a workflow library (graph extraction: per component / main flow / all), a load area with resolution auto-match, a live queue, SDXL and Wan 2.1 templates, a companion skill, and a same-origin media proxy.

Creates and inspects RecoWork local-agent-project workspaces through two bounded DSH tools and a web workspace card.

Schedule a message into a dsh chat for later: a Schedule button in the message box with a date and time picker, a sidebar panel of pending messages across chats, delivery as a normal user message even with the browser closed, and schedule_message, list_scheduled_messages and cancel_scheduled_message tools so the model can come back to a chat on its own.

Geological 3D modeling and 3D seismic processing workflow skill: SEG-Y volume parsing, CGCS2000 coordinate unification, fault representative line and exploration boundary shapefile output, and multi-mine 3D geology platform building.

--- AIGC: ContentProducer: '001191110102MAD55U9H0F10002' ContentPropagator: '001191110102MAD55U9H0F10002' Label: '1' ProduceID: '69910f2e-fa01-4336-80c6-96a88da0868e' PropagateID: '69910f2e-fa01-4336-80c6-96a88da0868e' ReservedCode1: '2027e396-94f6-468b-bbee-37e2c84c163a' ReservedCode2: '2027e396-94f6-468b-bbee-37e2c84c163a' ---

Single-bundle reverse-engineering and pentest security plugin: first-turn tool narrowing, domain routing, and 33 tools covering APK, web, native binary, protocol, malware and LLM samples — with unpacking, license-bypass and anti-analysis case playbooks, an H-CoT evaluation engine (semantic routing, /hcot command), a web workbench with a ledger-driven tool shelf, an on-disk case workflow (auto-persisted evidence chain, E-numbered validated findings, post-compaction resume), GitHub-based external tool discovery, and 361 on-demand reference docs.

A skill self-evolution plugin for DeepSeek Harness (DSH): it watches agent execution traces and, at the end of every successful turn, fires an LLM review when signals trip — distilling workflows worth reusing into crystallized skills registered in the skill catalog. Later runs of the same workflow fold fresh lessons into the existing skill — skills are alive and get better with use.

DSH self-discipline companion with recurring tasks, a gaze-tracking desktop mascot, evidence logs, final AI review, reminders, and window intervention on Windows and GNOME Wayland.

Meeting rooms for DSH sessions: joining a room grants the right to convene and the duty to attend, and a session belongs to at most one room. Convening forks each participant in with its own completed-turn context and with its tools stripped, a moderator that carries no context chooses the speakers, and every turn is appended to disk as it is spoken. After adjournment each participant receives its own minutes as a user turn and resumes work.

Folio (兰亭) @nyantused/folio-dsh-tools: 15 schema-validated tools (memory + quality gates) plus an L0 guard of the consulting document-generation engine; pair with @nyantused/folio-dsh-events for the full session protocol.

Make coding agents show their work. Fullstack Expert is a Cordis-native workflow and safety layer for DeepSeek Harness coding agents. It makes repository inspection, vertical-slice planning, sensitive-operation boundaries, and fresh verification evidence explicit—without introducing a second agent framework, shell, filesystem, browser, database, or model provider.

Mind-map project planning with blocking drift protection: plans, modules and tasks as a dependency DAG with topological execution order, an agent position marker, a human approval gate on every board edit, git cross-checks, and evidence-gated task completion.

A governed swarm of six specialist DSH agents — orchestrator, planner, knowledge-base bridge, developer and two reviewers — turns a requirement into a strict phase pipeline where every delivery must prove itself with structured evidence before the next phase may start; reviewers are read-only, code merges only after a review pass, and an append-only event log gives full replay and audit on a live kanban board. Its design draws inspiration from the Hermes Agent kanban.

English: dsh-subagent-library is a named subagent roster plugin for the DeepSeek Harness Web GUI — manage role entries (model / persona / tool filter / depth / background mode) from a settings page, hot-reloaded, then let any conversation pick one with listsubagents and dispatch work with delegate. See README.en.md for the full English version.

Conventional-commit enforcement, changelog generation, PR summaries and branch pushes through the plain git CLI.

dsh-project-ops is an independently installable Cordis project execution plugin with a compatible DeepSeek Harness Bundle entry. It gives an Agent a bounded map of declared project tasks, plans checks affected by changed files, hands long work to Harness's existing Jobs runtime, and evaluates output-free verification receipts.

AI is great at doing one file. Ditto is for doing the same thing to 30 files without babysitting all 30. Review-first batch automation plugin for DeepSeek Harness: 3 reviewed samples → full preview → approve → safe apply.

Agent preset plugin for DeepSeek Harness that triages every request, delegates implementation to an expert, and schedules parallel work through a dependency-DAG taskboard and a file-based message bus before an independent review gate. Ships with only 11 core experts out of the box; more expert teams (Agency agents EN/ZH, classic collections) are one-click downloads from the settings page over dual GitHub/CDN channels with sha256 verification.

Scheduled DeepSeek Harness Agent tasks with mandatory end-to-end tests, run history, and bidirectional delivery through nine messaging channels.

Cron task scheduler for DSH: on schedule, automatically creates a new session and injects your prompt as its first message, with task history and manual run/stop controls. Also runs KNJ workflows: pick files directly (stored as persistent snapshots, re-handed to the workflow on every fire) or reference them by path. Its sidebar entry is provided by dsh-knj-menu; install together: dsh plugin add dsh-scheduler dsh-knj-menu.

AI Company Framework: turn one sentence into a multi-agent company — 15 flat Skills (boss/pipeline/role-template/11 roles/generic customer-memory), 7 workflow templates, AgentTeams runtime + activity panel, employee sidebar with per-session isolation, Feishu bot bridge (boss and per-employee bots, group routing, autonomous push, human decision gate, external-contact guide), per-customer SQLite memory with three-layer memory (cross-group merge), /company mode switch; no RAG.

Tracking assistant skill: monitor product prices, celebrity news and custom metrics with change alerts and scheduled pushes.

This repository is an installable release mirror for @kasenri/dsh-orbit 0.5.8. Canonical source: https://github.com/KasenRi/dsh-orbit-browser-plugins/tree/main/packages/orbit Do not develop features here; publish changes from the canonical source monorepo. Community plugin for DeepSeek Harness (DSH). Not affiliated with or endorsed by DeepSeek.

Evidence-first operating kit: six read-only tools (capability catalog, staged workflow plans, packaged skill reader, bounded local memory search, repository release audit, release checklist) and five packaged skills - plans and audits, never remote writes.

Streams DeepSeek Harness sessions, messages, tool activity, and turn outcomes to a JARVIS Mission Control board with task status and human review.

Visually configure an agent's prompt, tools, visible skills, subagents and fallback models, and assemble several of them into a team. It never writes or edits any host preset file.

Extends dsh-subagent-tools with a per-call cwd for subagents, shipped with the two in-process provider patches it requires.

Auto-send every DSH turn result to WeChat: listens for task completion, extracts the final assistant message and pushes it raw via the WeChat iLink bot (real delivery check, never fake success). Requires the wechat-acp daemon, a separately installed process you log into WeChat with.

A single, self-contained DeepSeek Harness (DSH) web plugin that merges the git-management features of the popular dsh-web-ui plugin (SCM change panel + branch management) with GitHub access, a workflow board, and file browsing — one panel instead of several plugins.

Multi-platform LLM balance and quota panel: configure DeepSeek, OpenRouter, Kimi, Zhipu GLM, MiniMax, NewApi or custom endpoints, poll on a schedule, draw balance and quota trend charts, and push threshold and window-reset notices through multiple channels.

Installs an Orchestrator agent preset that plans and dispatches to model-pinned specialist subagents (explorer, oracle, librarian, designer, fixer, council), with named model profiles switched via an omoslim CLI and a Web inspector button showing the current subagent models.

Unified anchored agent preset for DeepSeek V4 Pro/Flash on the official API and opencode-go: Minimal-exact two-tool first-request bootstrap, model-aware Pro/Flash paths, and epoch-aware catalog management for long-session stability.