52 results
Freeze a working sequence into a hosted production line. Turn a sequence of tool calls that already works into a named pipeline that runs on our servers on a schedule, with a receipt per run — plus recurring watch tasks that notify you only when a result actually changes.
DSH AI-PM 插件：把 pm-scaffold 的 PRD 工作流接入 DeepSeek Harness——agent 侧提供 pipeline 模型工具（init/status/entry/gate/reflow/skill/artifact），GUI 侧提供需求看板与不可绕过的人工确认闸门。
CI/CD 自动化：质量门禁、shift-left、构建部署管线、发布策略。受 addyosmani/agent-skills（88k★ MIT）启发。
DSH web plugin: r/DeepSeek community sentiment cockpit — DSI optimism/anger index dashboard with an auto-refresh data pipeline (Fear & Greed style).
Matt Pocock's skill workflow pipeline for DeepSeek Harness: registers the matt skill set and adds a visual pipeline panel (Idea > Triage > Grill > Spec > Tickets > Implement > Review) to the better-sidebar, one click dispatching the official /<skill> gesture to the active session.
Dual-pipeline compaction for DeepSeek Harness: official server-side Responses compaction v2 for OpenAI-routed targets, with a deterministic VCC-style local compiler (zero model calls) as the default fallback and for every other provider.
Built-in auto-update plugin for dsh (DeepSeek Harness): manual update check from the Settings page, guarded update pipeline with health check, automatic rollback, circuit breaker and degrade ladders.
Trigger GitHub Actions workflow runs and local test pipelines, stream their logs back, and on failure hand the tail of the log to DeepSeek for a Markdown root-cause diagnosis.
DSH bundle plugin: 为 code-pipeline 预设（PTC 流水线）动态注入阶段子代理工具（subagent_plan / subagent_impl / subagent_review），各阶段 provider/model/思考等级/最大并发数可在设置页（Settings → 代码流水线）实时配置并持久化到 settings.yaml（并发上限按父会话准入控制，运行中可动态调整）；预设文件随项目在 preset/ 目录维护，首次启动自动安装到 $DSH_HOME/.agent-presets（见 README）
Local-first RAG knowledge tools for DSH: kb_query / kb_ingest / kb_crawl / kb_related, backed by the kb-rag Python pipeline (Ollama bge-m3 + ChromaDB + SiYuan). Zero API cost, data never leaves your machine.
DSH package manager plugin: install dsh-bundle plugins as profile dependencies and hot mount/unmount their bundle patch rows through the official watchUserPatches cordis.patch.yml reload path — no restart, no workspace/.venv second pipeline.
Agent loop rate limiter — prevents TPM/RPM limit violations by intercepting the LLM streaming pipeline and adding adaptive delays between requests
Issue-to-PR 可验证交付链：项目配置 → 11 阶段流水线 → 人工复核 → PR 说明（DSH 全局插件）
DeepSeek Harness plugin — a live, stealth-capable Chrome inside the conversation. Tiered frame transport, Patchright engine seam, four-tier CAPTCHA pipeline with interactive human handoff, and a page-owned browser panel the user can grab the mouse in. Tested against DSH 0.1.5-rc.2.
Cross-session long-term memory for the DeepSeek Harness: a two-phase extraction/consolidation pipeline over a file-based memory workspace, recall injection, a citation feedback loop, lease-based job semantics, plus a settings page, a sidebar status panel and a memory viewer.
Photo upload for the DeepSeek Harness composer — native picker feeding the stock paste pipeline
Multi-agent orchestration plugin for DeepSeek Harness: team presets, subagent delegation, sequential pipelines, and policy gates.
DeepSeek Harness tools for evidence-backed sales qualification, deal progression, closing and revenue expansion.
GitHub Actions CI manager for DeepSeek Harness: live pipeline dashboard, OAuth device-flow sign-in, repo browser, run logs, and the github_ci agent tool.
DSH plugin: consult multiple expert advisor models in a retro chat-group card — auto-deepen consultation pipeline with real streaming, SSE replay, and 26 provider presets.
ML 管线工作流：数据→训练→评估→部署→监控的 MLOps 工程。受 wshobson/agents（38k★ MIT）启发。
DeepSeek Harness bundle: two academic research agent presets — scopus-scholar (搜索驱动模式, Scopus/OpenAlex search with a claim-verify loop) and scopus-knowledge (知识驱动模式, a code-enforced knowledge pipeline consulting a tool-free 科学顾问 persona)
Quant factor research pipeline: probe to panel to IC/5-gate to backtest to regime, with persistent project object + genui dashboards.
Model Capability Facade for DSH: a plugin author declares one semantic capability (a few model-facing operations), the facade turns them into typed tools that run a declared pipeline of existing tools through the normal tool pipeline.