Plugins
Browse, filter, and install DeepSeek-Harness plugins.
8 plugins found
dsh-cron
squirrel20/dsh-cron
Host-side unattended job scheduler: runs one-shot agent tasks or shell commands on cron, interval, or one-time schedules, with persisted at-most-once dispatch state, overlap/misfire policies, and bounded run history.
dsh-rigorquant
linxichen/dsh-rigorquant
RigorQuant preset + skill pack: unattended walled multi-agent research for empirical and computational mathematics (economics, finance, portfolio), with a four-part pre-implementation check battery and a jacobian/Lean escalation lane.
dsh-watch
dshworks/dsh-watch
Background stream listeners that wake the DeepSeek Harness agent — put a watch on a command or file and receive new lines as in-session notices. Ships a daemon host so a watcher can run unattended for weeks.
dsh-pocket-console
picsky/dsh-pocket-console
Forwards an unattended DeepSeek Harness run's tool-call approvals and ask_user_question prompts to Feishu cards on your phone. The desktop GUI answers first — a card is only sent after `delaySeconds` (120 by default) with no answer there — and a phone approval grants `allowed-once`, so no authority accumulates on the phone. One outbound WebSocket long connection to Feishu: no public IP, domain, tunnel or relay.
dsh-continue
juwanxu/dsh-continue
Fail-closed network recovery, recommended answers, and safe unattended continuation for DeepSeek Harness.
dsh-auto-classifier
pakiknowledge/dsh-auto-classifier
Autonomous permission classifier for the auto preset: tool-scoped allow/deny rules, an LLM semantic judge, and git checkpointing for unattended sessions.
dsh-approval-policy
fan56/dsh-approval-policy
dsh plugin: unattended approval gate — subagent/scheduled/cron approval requests get a bounded answer window, then settle with a fail-closed default instead of hanging forever (per origin or per session)
dsh-ai-team
yunqiangwu/dsh-ai-team
DSH plugin: an unattended AI software team. Feed it a bare Linux server, a set of secrets (env-var references only) and a git remote, and the plugin-driven AI team drives the whole project lifecycle — environment bootstrap, scaffolding, task decomposition