dsh-doublecheck
Delivery quality gate for DeepSeek Harness: grill the requirements, test the implementation, prove the delivery, and gate the handoff with a deliverable/rework decision.
28 results
Delivery quality gate for DeepSeek Harness: grill the requirements, test the implementation, prove the delivery, and gate the handoff with a deliverable/rework decision.
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).
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.
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.
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)
DSH prompt 工具箱:预制 + 自定义 prompt 模板,点击即插入当前对话输入框(v1 常规模式 + v1.1 智能模式悬浮卡) | Prompt toolbox for DeepSeek Harness: preset + custom prompt templates, one-click insert into the conversation.
A DeepSeek Harness skill plugin distilled from Qian Xuesen (钱学森)'s Engineering Cybernetics (《工程控制论》) — a methodology framework for projects, engineering and research.
Structural code MCP server and batch CLI for compact TypeScript/JavaScript reads and hash-bound AST edits.
Reproducible multi-source release evidence for DeepSeek Harness
把中文场景描述转成 Anima/Anima Base 的英文自然语言 prompt:7 槽位、11 条 P 规则、负面三层、互斥自检;正负面分开输出直接复制,不输出 Params
Cordis-native, evidence-driven full-stack engineering discipline for DeepSeek Harness agents
Content-aware tool output compression for DeepSeek Harness.
需求锻造:需求澄清、提示词提炼与经验沉淀。把模糊的编程需求锻造成可执行规格,并在每次任务完成后沉淀为可自动复用的个人提示词模板库。
上下文工程:按层级(规则文件→规格→源码→错误输出→对话历史)主动策划 agent 看到的信息,提升输出质量。受 addyosmani/agent-skills(88k★ MIT)启发。
按 Anima3 v3.0 模板把中文场景转为英文提示词:槽位顺序/互斥检查/自检/标签库(读取本地模板文件)
Create production-ready AI image prompts and image descriptions with the Find Image Prompt image-to-prompt API.
Task boundaries for DeepSeek Harness Web: use Focus for execution scope and Persistent Anchors for explicit constraints without rewriting prompts.
NovelAI Diffusion V4.5 Full image generation for DeepSeek Harness: text-to-image, Danbooru tag lookup, and image-to-prompt reverse engineering.
DSH (DeepSeek Harness) scaffold plugin & preset: strict 5-phase init runbook, engineering standards, and six runnable starter templates (node-ts / react-vite / python / go / spring-boot / monorepo). 项目初始化脚手架预设:严格流程 + 工程规范 + 六套模板。
DSH 上下文管理插件:任务边界、项目帧、自动判别与上下文优化(开发中,R2 判别域 P8–P14b1 已施工)
Tiered micro-clear layer for DeepSeek Harness compaction: clears whitelisted re-runnable tool results to placeholders before the official summarization tier, freeing context with no model call.
工程方法论技能集:实现前先分类并获批(Spike/Bounded/Architectural)、系统化调试。受 obra/superpowers(274k★ MIT)启发的 DSH 原创改编。
Evidence-backed engineering Mission governance for DeepSeek Harness
气候工程