autodsh — Automation Task Plugin for DeepSeek Harness

⚠️ AI Development Notice: This project was developed with AI assistance (DeepSeek Harness coding agent). Code, comments, and documentation contain AI-generated content, reviewed by humans and multiple automated review rounds. The publisher takes responsibility for the final content.

autodsh is an automation-task plugin for DeepSeek Harness. Users create automation tasks through conversation; each task follows a three-part architecture — trigger + automation content + result notification — managed from a unified task panel.

Features

Capability	Description
Persistence	Tasks and run history persist to `$DSH_HOME/storages/autodsh.json` (official storage-domain + JSON backend, atomic writes)
Lifecycle	The plugin starts/stops with DSH; enabled tasks resume scheduling automatically on startup
Triggers	Fixed interval, cron schedule, condition (last status / last duration / time window), parent-child
Execution isolation	Each task runs in its own agent session and working directory; child tasks inherit the parent's workspace and run context
Run statistics	Run count, total duration/tokens, last run time/status/result, used plugins and skills
Notifications	record (log) / email (SMTP, with file attachments) / session (DSH-IM social-software bridge)
Permission management	Per-task permission preset: `workspace-write` or `danger-full-access` (long-term authorization, no approval prompts)
Conversation control	9 `autodsh_*` model tools: create/update/delete/list/detail/run/stop/history/settings
Auto-learning	Installs the `autodsh-control` skill so models automatically know how to control the plugin
Task panel	Built-in Web panel (list/detail/edit/run/stop/delete/history) with full configuration forms

Architecture

             ┌──────────────────────────────────────────────┐
  Chat/User ─▶│  autodsh (Host half, resident with DSH)       │
             │                                              │
             │  autodsh_* tools ←→ task store (storage-domain)│
             │       │              ▲                        │
             │       ▼              │ change events          │
             │  trigger engine ──▶ task runner               │
             │  (interval/        (isolated agent session +  │
             │   cron/             workspace, stats)          │
             │   condition/                                  │
             │   parent)            │                        │
             │                      ▼                        │
             │               notifier (log / email / IM)     │
             │       │                                      │
             │  autodsh-control skill (model auto-learning)  │
             └───────┼──────────────────────────────────────┘
                     │ /autodsh/api (webServer routes)
             ┌───────▼──────────────────────────────────────┐
             │ Task panel (Client half, Web settings page)   │
             └──────────────────────────────────────────────┘

See docs/ARCHITECTURE.md for details.

Installation

Local development install (recommended first)

# 1. Build in the project root
pnpm install
pnpm run build

# 2. Install into a target profile (copies artifacts + appends the mount
#    row, backs up the patch automatically)
node scripts/install-local.mjs desktop
# or: node scripts/install-local.mjs web

# 3. Restart DSH

Manual approach (when the install script does not apply):

dsh plugin --profile web add link:<absolute path of this repo>
# Add the mount row to the target profile's cordis.patch.yml:
- insert:
    - id: autodsh
      name: 'autodsh'

Data lives in $DSH_HOME/storages/autodsh.json.

Install from npm (published on npmjs.com)

The package is published to the official npm registry as @juuuw/autodsh.

# 1. Install from the default npm registry
npm install @juuuw/autodsh

# 2. Add the mount row to the target profile's cordis.patch.yml:
# - insert:
#     - id: autodsh
#       name: '@juuuw/autodsh'

Alternative source: @juuwaii/autodsh is also published on the GitHub Packages registry (see README.zh.md for registry config).

Quick Start (conversation)

After installing and restarting, just say:

"Create an automation task that checks my project dependencies every morning at 9 and summarizes"
"Fetch a news digest every 2 hours and email it to me"
"Automatically retry once when my inspection task fails"
"List all tasks" / "Disable task xxx" / "Run task xxx now"

The model auto-loads the autodsh-control skill and uses the autodsh_* tools. You can also manage tasks in Settings → Autodsh Task Panel.

Task Fields (viewable/editable in the panel)

Name, description, enable toggle, trigger (type and parameters), task content (prompt), key parameters (sensitive ones masked), working directory, agent preset, permission preset, run timeout, notification channels/timing, email recipients, parent task, run statistics (last run time/duration/status/ result, totals, used plugins/skills), and run history.

The panel's Edit Config form supports:

name / description / task content
trigger switching (interval interval-ms, or cron expression)
notification channels (record / email / session) with timing and recipients
permission preset (default / workspace-write / danger-full-access)

Permission Management (Long-term Authorization)

Each task can declare a permission preset (permission field, also available in the panel and autodsh_task_create/update tools):

Preset	Sandbox	Approval	Use case
`workspace-write`	workspace + allowed temp dirs	ask	Default; wider operations require approval
`danger-full-access`	full file access	never	Unattended long-running tasks: full permissions, no approval prompts

The preset is applied to the task agent at run time via permissionPresets.set (sandbox mode + approval policy). Unknown preset names only warn and do not block the run.

Notifications

record: appends to <dataRoot>/notifications.log (JSONL); always available.
email: SMTP mail. Configure smtp.host/port/secure/user/password/from via the autodsh_task_settings tool (or settings), and set emailTo on the task. A zero-dependency SMTP client (node:net/tls) supports 465 direct TLS, 587/25 STARTTLS, AUTH LOGIN/PLAIN, UTF-8 base64 bodies, and file attachments (multipart/mixed; result files under 10 MB are attached automatically).
session: injects the result into the session that created the task. If that session is bound to a social channel by DSH-IM (@xmanrui/dsh-im), the result is delivered with the next interaction (DSH-IM push is message-driven: only replies of user-message turns are pushed; there is no proactive text API, and the QQ channel does not implement file messages). For proactive delivery use the email channel.

Triggers

interval: fixed period in ms (optional random jitter);
schedule: 5-field cron (min hour day month dow, local timezone; day/dow combine with standard cron semantics);
condition: last run status / last duration comparison / time window (fires once per window);
parent: triggers the child after the parent run ends, on success | failure | completion | always (with optional delay), and injects the parent's result summary into the child prompt.

Development & Testing

pnpm install
pnpm run build        # Host (tsc) + Client (tsc + rollup)
pnpm test             # unit tests (node --test)

Test coverage: cron parsing, file storage (atomic updates/capacity/history cleanup), trigger engine (all four trigger types), notifier, SMTP client (local fake server, incl. multipart attachments), task-runner full-chain orchestration, panel API (45 tests).
Rich code comments; relative imports follow the NodeNext .js suffix convention.

Requirements Traceability

See README.zh.md for the full requirement mapping table.

Privacy & Security

The committed code contains no personal information, secrets, tokens, or machine paths; local test data lives under $DSH_HOME and gitignored directories.
Task key parameters support the secret flag: masked as ****** in the panel and model tools.
SMTP passwords and other sensitive settings are kept in $DSH_HOME/settings.yaml (DSH defaults to 0600) and are masked on read.
Plugin data is plaintext local storage; avoid storing high-value credentials. Clear sensitive content before sharing/publishing task configs.

License

MIT

autodsh

安装

README