dsh-visual-workflow
DSH host + client 双面可视化多 Agent 工作流设计器插件(模式一编排执行 / 模式二后台服务)
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DSH host + client 双面可视化多 Agent 工作流设计器插件(模式一编排执行 / 模式二后台服务)
Delivery quality gate for DeepSeek Harness: grill the requirements, test the implementation, prove the delivery, and gate the handoff with a deliverable/rework decision.
DSH (DeepSeek Harness) plugin: launch and drive a running Godot 4.x game through its in-game TCP interaction server — replaces the godot-mcp MCP server with native agent tools.
Deep Research orchestrator extension for DeepSeek Harness: an adaptive cybernetics/information-theory deep_research tool on the official workflow engine, reusing built-in web_search/web_fetch.
Multi-Core Collaborative Novel Writing — a DeepSeek Harness (DSH) preset plugin that installs a multi-agent novel-writing mode: one conductor plus five specialized subagents (多核协同写作模式).
DSH Web 多主题引擎:完整支持 opencode 全部 38 个主题(37 内置:33 TUI + 4 桌面 2.0 + system)。数据驱动三层管线:主题 JSON → 颜色解析 → DSH 适配注入。
Free web search for DeepSeek Harness: 12 engines (Bing/DuckDuckGo/AnySearch/SearXNG/Exa/Tavily/Keenable/Firecrawl keyless; Parallel/Perplexity/DeepSeek with key) + time filtering + platform search + web_fetch, with web settings UI.
OMK — Observe. Measure. Know. Evidence-backed knowledge changes for AI applications.
AI-native web scraping and JavaScript reverse-engineering platform powered by DSH, Patchright/CDP, semantic recovery, and verifiable Solvers
DSH (DeepSeek Harness) plugin packaging of the Project Blueprint skill — one-command AI coding conventions (AGENTS.md, docs skeleton, CI/CD, git rules, testing policy) with an autonomous discovery engine (7 languages, 15 frameworks, 70+ components, web fallback).
Multi-engine fused web search, page fetch, real-time X (Twitter) search with credential-free fallback, deep research and parallel multi-agent research for DeepSeek Harness. Free layer: Bing / DuckDuckGo / Yahoo / Exa MCP (all keyless, live-probed); api layer adds Antigravity CLI and keyed Tavily/Brave/Exa.
VCC-style instant, near-lossless deterministic compaction engine for the DeepSeek Harness — a drop-in replacement for @deepseek-ai/dsh-compaction-basic
SGME 仓库级 DSH 插件包装(真实插件包在 adapters/dsh/sgme-bridge/,dsh-sgme 已发布 npm)。本文件让 dsh plugin add github:freehul/sgme 直接可装,并让 dshfind 能推导出 npm 安装命令。
Miraculous Standard — unified anchored agent preset for DeepSeek V4 Pro/Flash (official API & opencode-go). Minimal-exact two-tool first-request bootstrap, model-aware Pro/Flash paths, unified context gate, epoch-aware catalog management, rc7-ready shell handling.
Reduce large agent tool output by what it means, not by where it was cut.
DeepSeek Harness (DSH) bundle porting Matt Pocock's 'Engineering for Real Engineers' + 'Productivity' Claude-Code skills (SKILL.md set) into a native DSH skill plugin. Same skill bodies, DSH skill discovery.
dsh plugin: recognize attached images with the built-in Windows OCR engine (Windows.Media.Ocr) and send only the recognized text to the model. Text models never receive image bytes; vision passthrough is opt-in.
Feature-Sliced Design scaffold for building maintainable dsh (DeepSeek Harness) Cordis plugins: host three-layer slices, mirrored single-file client bundle, and a full engineering gate suite (lint, type-check, coverage, bundle verification).
AI-for-Science research workflow skill bundle for DeepSeek Harness: multi-angle literature review with per-angle files, anchored experiment design with a caveat list, figures, paper reading; cross-verification briefs.
DeepSeek Harness (dsh) plugin: run work as a small crew of role agents (product manager, researcher, architect, engineer, test engineer, code engineer, QA, code reviewer, security reviewer, doc reviewer) that talk through files on disk, with the PM as the only voice to the user.
DSH Web 壁纸引擎 Wallpaper Engine mpkg 背景插件:浏览器内直接解析 .mpkg(preview.gif 动态背景/内嵌 mp4 视频/多时段切换),整屏统一虚化/对话框/弹层/遮罩独立虚化、镜头缩放平移、时钟、冲突检测。
ECC (227k-star operator system) skills for DeepSeek Harness — progressive port of 274 curated single-file skills (agentic engineering, evaluation, testing, patterns, vertical domains, docs). Adapted from affaan-m/ECC (MIT)
Modular AI research/engineering skill pack for DeepSeek Harness — security audit, paper workflows, dev workflow, storage analysis. Installable via dsh plugin add.
See what your AI agent protected: session security receipts, visible data provenance, task boundaries, and tool identity checks for DeepSeek Harness.