dsh-pipeline-kernel
管线管理内核(pipeline-kernel):单向任务链的任务板/台账/注册表/巡检/播种/打包/自愈。v0.9.0:rc.8 削薄工程(依赖对齐 rc.8、DshAgentRuntime 窄收口、webServer inject、domain/changed 统一失效、契约测试、CI 全量门禁;业务语义与入口冻结)。
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管线管理内核(pipeline-kernel):单向任务链的任务板/台账/注册表/巡检/播种/打包/自愈。v0.9.0:rc.8 削薄工程(依赖对齐 rc.8、DshAgentRuntime 窄收口、webServer inject、domain/changed 统一失效、契约测试、CI 全量门禁;业务语义与入口冻结)。
DeepSeek Harness plugin: a folder-picker button next to the native paperclip. Flattened files enter the host 0.1.3+ native attachment pipeline (official draft rail, background upload, progress, model handle line); plus the read_document tool (text/PDF/DOCX/XLSX) the built-in read tool rejects as binary.
Cordis /hongtou command: two-phase pipeline (LLM structured JSON + deterministic Word 2003 XML template rendering)
Deep reading & summarization for DSH: books/papers/videos/web → structured Obsidian notes. Plugin parsers, MapReduce deep-read, JSON Schema output, idempotent cache.
🐳 The Everything-Plugin Quant OS — AI-native & DSH-native: 46 tools, 6 pluggable domains (data/alpha/ML/risk/execution), one end-to-end PDAT→PET pipeline. Methods open, secrets internal.
Academic Research Skills (ARS) for DeepSeek Harness: 4 research/writing/review skills (deep-research, academic-paper, academic-paper-reviewer, academic-pipeline) plus 16 /ars-* commands, ported from the ARS Claude Code plugin (upstream: Imbad0202/academic-research-skills, CC-BY-NC-4.0).
Model high-availability failover + subagent orchestration (fanout/pipeline/supervisor) for DeepSeek Harness
Hook DeepSeek Harness into your Hermes pipeline: dispatch-spec template, model-tier routing, quality gates, git single-writer rule — as an installable skill pack.
A DeepSeek Harness agent mode that walks you through the full product pipeline — from idea validation to release, promotion, and iteration — by saying "I have an idea".
Deterministic fault injection, autonomous resilience experiments, and machine-readable evidence for the DeepSeek Harness tool pipeline
TradingAgents for DeepSeek Harness: the 14-role A-share multi-agent analysis pipeline (analysts → bull/bear debate → research manager → risk debate → trader) behind the /trading-agent command. · A股多智能体投研分析插件。
Long-term memory system for DeepSeek Harness: two-phase extraction/consolidation pipeline over session logs, with summary injection and memory tools
论衡(lunheng-article-pipeline)— 多 Agent 深度长文流水线技能包(DeepSeek Harness 适配版,对应正典 v2.5.2):定题→并行检索(文献/数据/案例)→分析→大纲人在环确认→写作→批判→审计→审稿→修订→配图→终检交付,9 个独立角色 T1-T9 互不可替代(文献/数据/案例/分析/写作/批判/审计/终检/审稿),主控 = T0 调度 + T8 终检亲执行(T8 独立角色,执行者主控担任,不 spawn),T9 审稿可选默认选中学术必选,三角验证 + M 机械化硬门 + F 失败模式防御 + G14 中文 AI 痕迹闸 + 期刊匹配助手,用 dsh subagent 子代理编排。
WeChat official account AI writing pipeline as a DeepSeek Harness (DSH) plugin
dsh bundle: attach any file type in dsh web — text-likes inline, binaries as workspace path references, rasters via the built-in pipeline
BrainAgent — brain-inspired plugin for DeepSeek Harness (dsh): a pipeline of heuristic filters, statistical memory stores and context injections; reward-ledger + UCB1 bandit learning loop (RL-lite)
Agent loop rate limiter — prevents TPM/RPM limit violations by intercepting the LLM streaming pipeline and adding adaptive delays between requests
Simulator State as Code for iOS developers, CI pipelines, MCP clients, and DeepSeek Harness
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.
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.
Goal-driven daily task planner for DeepSeek Harness: multi-goal task data, a daily preview panel, and a reminder-friendly data file shared with the WeChat push pipeline. · 目标驱动的每日任务计划器:多目标任务数据 + 每日任务预览面板,与微信推送链路共享同一数据文件。
WeChat Official Account content studio for DeepSeek Harness: anti-homogenization writing methodology, blessing-image visual baseline, gpt-image cover pipeline with OCR acceptance, interaction rules, and the measured xiaolvshu (newspic) draft web API.
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。