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.
35 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).
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.
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.
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).
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)
生产级中文编剧创作与剧本诊断系统。覆盖概念超短片、短片、电影长片、剧集/连续剧、竖屏短剧/微短剧;强调主角驱动因果、场景价值转折、潜台词、中文自然度、故事状态机、人物知识边界、关系连续性、承诺-兑现、证据式QC、单调修复与长篇记忆快照。用于从零开发、续写、改戏、对白、剧本医生、结构诊断与长篇连续性维护。
Structural code MCP server and batch CLI for compact TypeScript/JavaScript reads and hash-bound AST edits.
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
Content-aware tool output compression for DeepSeek Harness.
Reproducible multi-source release evidence 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)
Cordis-native, evidence-driven full-stack engineering discipline for DeepSeek Harness agents
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.
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.
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)
规则透镜(RuleScope Lens)—— DeepSeek Harness 本地插件:AGENTS.md / rules 分层规则加载可视化、64KB 预算治理、写回防护与 FORBID 硬拦截、规则 Lint 与遵守率统计 | Rule visibility, budget governance & hard guards for DSH
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。
气候工程