Workflow & Automation

DSH 心跳：按时间规则向指定会话的主 Agent 主动投递一条你自己写的提示；模型输出期间不计时

Codex delegation cards and docked CLI output for DeepSeek Harness

Auto-continue plugin for DeepSeek Harness (DSH): automatically resumes a turn that ended on a rate limit (429), an exhausted quota, an empty response, or your own configured error codes — with a per-session consecutive-failure limit, a one-click quick swi

24私助（24PA）: Feishu-backed personal assistant as a dsh workspace bundle.

Task-list staleness guard for DeepSeek Harness: watches the session event stream and counts tool calls since the last todo_write; past a configurable threshold it appends one short notice before the next step, quoting the current list, so the model writes it back to the real progress instead of leaving a stale snapshot on screen. Pure prompt injection, no blocking and no data mutation.

AgentTeams 多智能体团队协作（DeepSeek Harness 插件）：自然语言组队、成员与任务依赖 DAG、信箱通信、右侧栏树状监测 —— 上游 NanmiCoder/dsh-agent-teams 的补充版，新增自定义美术目录、九厂商 × 九岗位头像与厂商商标徽标。

DeepSeek Harness deepwork mode bundle for ocmm-style agentic workflows.

DeepSeek Harness plugin: host-owned long-horizon task board for local coding agents. Next≤3, in-flight, done+verify, inject file + STATUS.md + rightbar/dock chip.

The child-scoped report tool for continuable in-process subagents on DeepSeek Harness: installs `report` plus its usage guidance into every continuable child scope, so findings reach the parent before the child finishes.

Creates, runs and monitors persistent research experiment loops from the DSH Web UI.

中瑞世联工作台 / CRWU audit workbench for DeepSeek Harness: pick a pending audit report, dispatch one AI audit subagent, watch and stop/restart it, auto-upload deliverables to Aliyun OSS.

树形任务流：把多步任务组织成目标→任务→子任务三级树，节点完成时由 AI 提交结果，插件随即把该节点的执行过程从上下文里折叠掉，只留下结果。

Lightweight graph orchestration for DeepSeek Harness: scoped agent nodes, handoff contracts, bounded rework, and a layered global ledger.

Role-based subagent delegation for DeepSeek Harness: one delegate tool over a folder of role files, with a roster that ships and stays overridable

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.

Discover and run project tasks through Harness Jobs, inspect run receipts, and check project configuration with an Agent tool.

Session-local scheduled tasks: inject a prompt into the current session after a delay, at a fixed time, or on a repeating interval, so the model wakes up and runs it on time. Manage them from a panel above the composer, the /schedule command, or seven model-facing tools. Timers freeze while DSH is closed and never auto-resume; pause keeps the remaining time, so resuming continues from where it stopped.

Generic idea manager for the DSH Web GUI: Host-authoritative /api/ideas ledger, capture, 4-column kanban (open / under review / archived / declined), optional TaskBoard mirror; mounted without DSH source changes.

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.

AlphaRSI — three-role self-improvement loop that evolves the training recipe of alpha sequence models. Operator runs walk-forward, Evaluator grades with OOS RankIC, Refiner proposes hyperparameters via TPE Bayesian search; only strictly-better recipes are kept. Offline one-command run, data bundle shipped with sha1 reconciliation, GPU auto-detect. Ships one skill.

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.

Deterministic engineering orchestration runtime for DeepSeek Harness: the orbit_controller tool and OrbitService run Commander, Executor and Smart Watchdog children through PLAN, EXECUTE, EVALUATE, bounded correction and runtime recovery, with durable state in <project>/.cx/state.json.

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.

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.