Workflow & Automation

File-based task pool and dispatcher for DeepSeek Harness: keeps a P0-P3 backlog as Markdown, hands one task at a time to a background subagent, gates delivery by rerunning the project test command, and accepts the result against a git commit or a file snapshot; git and non-git directories both work.

A five-stage engineering loop for agent-built projects — spec, build, verify, ship, learn — with one artifact and one gate per phase, so an agent always knows the single next action. Role policy, project templates and deployment sit behind explicit ports: swap the implementation without rewriting the loop. Its scaffold generator lays out the internal layers of a project — `init --layout {none,webapp,service,plugin} --stack {python,node,none}` — from nine layers sampled out of three unrelated production projects: entry docs, an OpenSpec plan face, a spec truth layer (INDEX, one file per domain, TESTING, CONSTITUTION), a wiki split into knowledge / progress / runbook, the six `.agents/` slots, server+web, scripts/deploy/config, tests+e2e and a gitignored out/. Non-none layouts also gate the directory contract and compile every source root. Ships a Python CLI (init/next/check/ship/new) plus a local command adapter and an SSH/systemd adapter with release directories, an atomic current/previous switch, a deploy lock, a commit-versioned JSON probe and automatic rollback on a failed probe; bootstrap and teardown provision and remove the unit and the reverse-proxy block idempotently and refuse to delete a root they did not create. Includes a runnable example workspace and a skill that keeps the agent on one phase at a time. Requires Python 3.10+ and PyYAML; remote deploys need SSH access, rsync, systemd and Caddy on the target.

External one-shot subagent provider using the local CodeBuddy CLI over ACP, with background result delivery and steering of running children.

Scheduled prompts that open a fresh conversation for every run, with cron, one-time and manual triggers, a per-task working directory, and run history kept out of the sidebar.

TAPD + ZenTao task hub for DSH: list assigned work in the sidebar and dispatch an agent on a branch you name.

Control tower tools: dispatch a task to a role agent, read its report, verify and accept or send it back. Requires the separate agent-control-tower Python CLI (tower; it is not on PyPI — install it with pip install -e from the same repo) on the DSH process's PATH plus a tower init-ed workspace; without it every tool call fails with ENOENT.

Injects the non-obvious operating rules of Agent Teams into the Lead session through one ordered system-prompt section: plan the roster before spawning, roster slots are never released, write scopes are advisory, and wait_agent short-circuits when no peer is running.

Project spaces, group chats, task boards, memory and usage for teams of DSH bots

Unofficial DeepSeek Harness port of the Academic Research Skills plugin (CC-BY-NC-4.0, non-commercial): 5 skills, 16 /ars-* commands, 4 agent roles, write-scope guard, and deterministic Python gates.

Card-based task orchestration for DeepSeek Harness: splits work into cards, dispatches and monitors tasks, handles stalls, verifies results, and adopts work conversations.

Reason tree: breaks a conclusion into a bottom-up argument tree, marks each branch as holds, fails or open, and jumps to the source file in Hippocampus.

Project control plane with durable tickets, replaceable DSH sessions, a project matrix, and bidirectional UI navigation.

Collects the open questions of each AI turn into a right-side panel; you answer them, add notes, and send the decisions back to the conversation in one message.

Adds contextual guidance for explaining technical misconceptions in conversations.

Codex-inspired lifecycle command hooks for DSH, with explicit tool-input sharing, pre-tool deny policies, notifications, and local audit examples.

Pause and resume DeepSeek Harness sessions around DeepSeek peak-priced hours (holiday & make-up-workday aware)

A dsh plugin to cooperate with codex.

观象（dsh-logalyze）：DeepSeek Harness (DSH) 日志分析插件。/logalyze 识别日志所属应用，把分析派发给工作目录为该应用代码仓库的子 Agent；Web 左侧栏提供「观象」设置面板

Turns a stated rule into a checkable intake card and writes it into the right AGENTS.md, and keeps project plans, a rule ledger, project records, handoffs, a change log and a timeline.

Plan-native multi-agent workflow for DeepSeek Harness: plan directs, work coordinates, code writes, and review audits read-only. Ordinary tasks need no authorization card or budget form. Includes 14 chain_* tools for explicitly authorized controlled rounds, with a frozen T0 baseline, layered evidence, and blocking close gates. Provides per-role model settings. Requires the sibling l1-presets bundle. For new installs, Weihao654/dsh-workflow#role-chain provides this runtime and the four presets in a single bundle. Do not enable role-chain alongside either legacy l1-presets or l2-protocol.

Four agent presets for the default plan-native workflow in DeepSeek Harness: plan plans and delegates, work coordinates execution, code owns implementation changes, and review performs independent read-only audits. Each role has a defined tool-permission matrix. Works with the sibling l2-protocol bundle for opt-in controlled rounds. For new installs, Weihao654/dsh-workflow#role-chain provides these four presets and the controlled-round runtime in a single bundle. Do not enable role-chain alongside either legacy l1-presets or l2-protocol.

Event-source plugin for DeepSeek Harness: cron, webhook, file watch, and deterministic procedures, with a ledger, console, and concurrency limits.

Read-only workflow panel for DSH: overview, six gates, milestones, org template, task flow and roster - project data from a project.json file, roster from the live DSH state, ledger presence from the ledger directory. Ships as a Cordis bundle with two GET-only routes and writes nothing to the project or the DSH state file.

Sidebar node canvas for DSH where each node is an agent task and each link a dataflow dependency. One deterministic import (no model calls) produces both a task pipeline and a file-level module graph; file nodes carry a coupling score, and every run is snapshotted so it can be undone as a whole.