DeepSeek Harness plugin

dsh-plugins-ceelog

DSH web plugin: per-project scheduled tasks with prompts, executed as headless agent sessions in the project directory, with durable run history

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Source facts

Repository
Ceelog/dsh-plugins
Latest update
Aug 19, 2026
Category
Workflow & Automation
GitHub stars
8
Format
plugin
Package path
src/plugins/dsh-plugin-scheduled-tasks
Catalog evidence
Upstream dsh.bundle evidence
Evidence path
src/plugins/dsh-plugin-scheduled-tasks/package.json#dsh.bundle
Checked against
0.1.0-rc.8
Upstream check date
2026-08-20

This evidence comes from the upstream catalog. This site has not installed, run, or security-reviewed the plugin.

Install

Start with a prompt that asks an agent to review the GitHub repository and source. Switch to the command if you want to install it yourself.

Copy this prompt into DSH, Codex, or another agent and ask it to review the GitHub repository and source first.

Do not install or run any commands yet. Read this plugin's GitHub repository, README, and relevant source code. Then answer the questions below clearly and directly so I can decide whether it fits my needs:

1. What is this plugin, and what problem does it solve?
2. Who is it for, and what are its typical use cases?
3. How is it used after installation? Include one minimal example.
4. What known limitations or privacy, security, compatibility, or maintenance risks does it have?
5. Give a clear recommendation: recommend, conditionally recommend, or do not recommend, with reasons.

Distinguish statements documented by the repository, inferences from source code, and unknowns. If evidence is insufficient, say so explicitly. Do not guess or simply repeat the README.

GitHub: https://github.com/Ceelog/dsh-plugins/tree/HEAD/src/plugins/dsh-plugin-scheduled-tasks
Plugin: dsh-plugins-ceelog
Author: Ceelog

Check the source files

Read the README and other files from this plugin directory before installing.

File explorer3 files
README.mdSource · read only

@opendsh/dsh-plugin-scheduled-tasks

DSH web plugin: per-project scheduled tasks with prompts. Create a task in the sidebar (⏰ 定时任务), give it a prompt, and the plugin runs that prompt on schedule — as a fresh headless agent session in the project directory — then records the outcome as durable run history.

![](./docs/demo.png)

What it does

  • Project-scoped tasks — each task belongs to a project directory (a DSH

workspace). The panel lists tasks for the selected workspace.

  • Three schedule kinds

- at — run once at an absolute time (strict RFC 3339 instant, or a local date/time with an explicit IANA time zone; DST gaps are rejected, overlaps pick the earlier instant). - every — run on a fixed creation-anchored interval (≥ 5 minutes); missed intervals are never replayed, only the latest due occurrence runs. - cron — run on a cron calendar rule (five/six/seven-field expression, e.g. 0 9 1-5, evaluated in an explicit IANA time zone, DST-aware).

  • Prompt execution — on schedule, a brand-new agent session is created in

the project directory with the task's prompt and driven to quiescence (the same drive pattern as dsh --profile headless). The run session appears in the project's conversation list with a pinned title (⏰ <task name>) and stays resumable; the final assistant text is also captured into the run record.

  • Per-task model override — each task may pin an explicit

provider/model selection, picked from the grouped provider catalog in the panel (the same groups the DSH model selector renders, with the current default selection shown as the first option). Runs then use that model instead of the deployment default; the effective model of every run is recorded in its history. Leaving the picker empty follows the default selection.

  • Run history — status (running / completed / failed), start/finish

times, output (truncated at 20 KB), error messages; newest first, capped at 20 records per task (configurable).

  • Manual run-now — runs a task immediately without touching its schedule.
  • Lifecycle semantics

- Runs only while the DSH web process is alive. After a restart, overdue one-shots run once and are marked overdue; overdue every tasks run only their latest due occurrence. - One-shot at tasks finish after their single run; every tasks stay active and advance to the next anchor-aligned target.

Architecture

A dual-face npm package installed into the web profile:

HalfEntryRole
Serverlib/index.jsCordis plugin: opens the scheduled_tasks storage domain (ctx.storageDomain), mounts the task store, the scheduler (bounded timers, clock-rollback-safe wakes), the headless executor, and the ctx.tasks typert service.
Protocollib/typert.jsHost TYPERT face (tasks/* endpoints), auto-registered by dsh-typert-loader.
Browserlib/client.jsReact panel mounted into the sidebar.footer.action slot; calls the host through the installed remote.tasks namespace.

The client↔server channel is the DSH typert protocol (the same mechanism dsh-commands uses): strict zod codecs validate every argument and result on both sides, and no session needs to exist for the panel to work.

Install

dsh plugin --profile web add @opendsh/dsh-plugin-scheduled-tasks

Development

pnpm --dir src/plugins/dsh-plugin-scheduled-tasks typecheck   # tsc (TypeScript 7)
pnpm --dir src/plugins/dsh-plugin-scheduled-tasks test        # vitest
pnpm --dir src/plugins/dsh-plugin-scheduled-tasks build       # tsc emit + tsdown client bundle + loader wrapper

After changing sources, rebuild and re-sync the profile copy (pnpm install inside the profile re-copies file: dependencies), then restart dsh web — the plugin has no HMR channel.

Configuration

KeyDefaultMeaning
maxConcurrentRuns2Maximum concurrently running agent sessions across all tasks.
keepRunsPerTask20Run-history records retained per task (oldest pruned beyond the cap).

Troubleshooting

Tool calls that fail with “Interrupted: interrupted” (underlying error Cannot read properties of undefined (reading 'prepare')) are almost always a duplicate @deepseek-ai/dsh-tools copy caused by declaring DSH packages in dependencies instead of peerDependencies. See [docs/troubleshooting.md](docs/troubleshooting.md) for the full write-up.

Limitations

  • Schedules fire only while the web process is running (same posture as

dsh-schedule); there is no external wake-up when the process is down.

  • Each run consumes model tokens with the task's pinned model, or the current

default model when the task pins none — the panel says so explicitly.

  • Run history is refreshed by polling while the panel is open (10 s interval);

push updates are deferred work.