zhu1090093659/dsh-web#packages/dsh-task-board
Task board for the dsh web GUI: a sidebar multi-column kanban whose cards run in real DSH agent sessions and can also be scheduled with cron expressions, executed host-side even with the browser closed.
Install
via npm
Resolves a published tarball rather than cloning the repository, and installs without any extra setup. Swap `web` for your profile name if you run another one.
The desktop app keeps its own profile, desktop, and only the dsh command it ships may change it — the npm-installed dsh refuses that profile. Install the command from the app menu (Manage dsh Command…), open Desktop once, quit it fully, run the line below, then reopen Desktop.
via npm
Resolves a published tarball rather than cloning the repository.
Our install check ran in a web profile on npm's dsh, not in the desktop app.
What happened when we ran it
Installed cleanly when we ran it
Every command here is run in a throwaway container against a clean profile, and the result is whatever the harness recorded — not a guess from the source. Last run 6d agoon DeepSeek Harness 0.2.1-rc.5.
Show it in your README
For maintainers: the badge serves this listing's latest sandbox verdict, so a re-run updates it on its own — and it links readers to the full result here.
Due diligence
Security
No build script was blocked in our run.
Source: our sandbox install on DeepSeek Harness 0.2.1-rc.5, 6d ago.
package.json declares no preinstall, install or postinstall script.
Source: package.json on GitHub, read at our last sync. prepare is not recorded; it runs only on a GitHub install, and shows up under build scripts when pnpm blocks it.
Neither shell commands nor credentials.
Source: a keyword match on the README — a hint about what the plugin touches, not an analysis of its code.
Not an audit. These are the record of one install and two text scans; nobody has read this plugin's code on your behalf. Plugins run with your agent's permissions.
What it is — Adds a five-column board to the DSH Web GUI side panel; each card is a real agent session, and cron can launch those jobs on the host with no browser open.
Who it is for — You keep several code inspections, health checks, or auto-reports in flight inside the DSH Web GUI and cannot read status or next-run time from the plain session list. If you only call DSH from a terminal and never open the Web GUI or the official desktop client, there is no UI for this board to sit in.
Watch out — On a fresh profile it installed and DSH registered it. This run only checked install and registration, not column moves or cron fires. No obvious pitfalls on that path.
The verdict — I would enable it for jobs whose prompt is already frozen and allowed to finish alone; a board column will not replace sitting in the session to rewrite instructions.
Generated by grok-4.6, and a starting point rather than a verdict. Where it says a plugin installs or does not, that is from a real run in a clean profile — everything else is read off the repository. Trust the source over this.
dsh-task-board is a DeepSeek Harness plugin that adds a sidebar, five-column task board for running agent tasks manually or on a cron schedule.
DeepSeek Harness loads the plugin through its official profile mechanism for the web GUI. Each card represents a task that can be sent to a real DeepSeek Harness agent session. The session's execution result is written back to the card, whose state moves between planning, to-do, in progress, completed and failed. Opening a card can take the operator to the associated session and its full interaction history. A cron expression configured in the task details is handled by the host process, so scheduled work can start while the browser is closed. Optional session reuse continues from a live, idle session and retains its context while reapplying the task's selected model and permissions.
This suits developers who need unattended checks, reports or other recurring agent work from the web interface. It is not a substitute for a simple one-off chat, and it is a poor fit where the host process cannot remain available for scheduling. The optional power-management setting supports Windows, macOS and Linux systems with systemd-logind; it is off by default and prevents system sleep while allowing the display to turn off. Goal-mode acceptance can invoke a judge model, consume additional model quota and mark an execution failed after two unsuccessful attempts.
DeepSeek Harness loads dsh-task-board through the official profile mechanism and presents it in the web GUI sidebar. A card is dispatched to a real agent session when Execute is selected. The board records the resulting status and execution result, while the card links back to the session for reviewing its interaction history. The documented board states are planning, to-do, in progress, completed and failed.
Task details accept a cron expression for scheduled execution. The host process triggers the task at the scheduled time and saves the result, including when the browser is closed. The task board also exposes these settings:
Settings → Web Plugins → Task Board → Task Acceptance. It uses the host model by default, or a selected model and reasoning level.For tasks executed in goal mode, the board asks a judge model to assess completion before the agent is marked complete. It uses three coding criteria, a 0.65 threshold and two rounds with the A/B positions exchanged. A failed first assessment sends the score and feedback to the agent for repair. A second failure marks that execution as failed. Acceptance settings are fixed when an execution starts, and each assessment consumes the judge model's quota. Ordinary chat and tasks with goal mode explicitly disabled are not affected.
Power management is documented for Windows, macOS and Linux systems with systemd-logind. If a reused session has been closed, DeepSeek Harness creates a new session so scheduled execution can continue. The README does not document additional configuration keys or a separate command added by dsh-task-board.
Written from the project's own documentation and kept in sync with it. Where the two disagree, the source is authoritative — read the README on GitHub
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