vibe
Vibe Code Orchestrator (VCO) is a governed runtime entry that freezes requirements, bounds execution, and enforces verification and phase cleanup.
28 results
Vibe Code Orchestrator (VCO) is a governed runtime entry that freezes requirements, bounds execution, and enforces verification and phase cleanup.
Deployment scripts for MisakaNet Workers
Role-based Codex / Claude Code / ACP subagent providers for the DeepSeek Harness: continuable children, durable session recovery, per-role product permissions, delegation with a permission ceiling, and a declarative role library.
DSH 插件全家桶:浏览器自动化 + MCP Server + GitHub/GitLab 自动评审 + 原生嵌入面板。One install, five modules for DeepSeek Harness: browser automation, an MCP server exposing your agents to any MCP client, GitHub & GitLab automation, and a native in-app panel.
OMK — Observe. Measure. Know. Evidence-backed knowledge changes for AI applications.
Global skill hub for dsh: aggregates Claude Code, project, and .skill-package skills into ~/.dsh/skills with reference/copy import and slash-menu usage
Solo-style isolated brainstorm branches and Handoffs for DeepSeek Harness
Portable Agent Skill for developing and auditing DeepSeek Harness plugins, with an optional DSH bundle adapter.
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).
An in-process trigram index that makes code search in Pi and DeepSeek Harness 20-90x faster than ripgrep, with identical results.
Hook DeepSeek Harness into your Hermes pipeline: dispatch-spec template, model-tier routing, quality gates, git single-writer rule — as an installable skill pack.
Tuning Engines CLI, MCP server, and Python agent runtime adapters for governed model, agent, skill, and MCP workflows. Fine-tune open-source LLMs, run inference, manage datasets/evaluations, and connect LangGraph or Temporal while Tuning Engines handles policy, audit, usage, and token economics.
Wanjiqi (6657 live room) meme Skill for DeepSeek Harness (DSH): 22,771 real barrage memes distilled into an AI skill - wanjiqi-style barrage memes, CS x DOTA cross-memes, player roasting and casting banter. / 玩机器(6657直播间)烂梗 Skill:22771 条真实弹幕烂梗蒸馏成 AI 技能——玩机器式弹幕烂梗、CS×DOTA 双料梗、选手锐评与解说吐槽。
散户研究心法:把模糊问题变锋利、枚举可能性、只对承重主张取真实证据、做非对称审计,交付证据标注的可读报告,并沉淀可更新的认知锚。何时用:用户问题材真伪、要可能性地图/承重主张审计/定价对照、说「更新锚」时。默认原生工具循环,零强制脚本。
Server-development mode for DeepSeek Harness: remote agent tools (ssh_list / ssh_exec / ssh_ls / ssh_read / ssh_write) backed by a persistent ssh2 engine, so the DSH coding agent's working environment is a remote Linux server. Works with the `remote` agent preset.
Eight DeepSeek Harness plugins: persona, language guard, vision fallback, python workdir guard, windows encoding guard, cross-agent memory, image generation, and skill shell injection.
Lion-Skills — a developer-focused agent skill suite (in Chinese) as a DeepSeek Harness plugin: 11 workflow skills for code review, debugging, testing, naming, spec writing, and more.
允许 agent 在 DSH 里为自己动态增删工具。新增的工具可以跨 DSH 重启存在。Let the agent add and remove tools for itself in DSH; added tools persist across DSH restarts.
DeepSeek Harness plugin for progressive, source-grounded deep research, writing, and learning: steerable checkpoints and citations verified against retrieved sources
常驻视觉服务:直连视觉模型(默认 opencode-go/minimax-m3,回退 zai-coding-cn/glm-4.6v)。describe_image / subagent_vision 工具 + 粘贴图片自动转译(llm/stream 钩子)+ 输入框视觉状态小胶囊与详情页(活动日志:指令/思考过程/输出)。零子代理、零 agent 上下文开销,按会话记忆窗支持视觉追问与验收。
Turn explicit coding-agent corrections into executable DeepSeek Harness regression tests.
AgentTrace 智能体轨迹:DSH 会话日志可视化插件——三层渐进式查看器(摘要/故事线/事件树)+ 四层进度体系。host 半 TypeScript(tsdown 构建),随 harness 启动。
BSP coding swarm plugin for DeepSeek Harness: nested 3-tier swarms (root + squad leads on deepseek-v4-pro, up to 100 concurrent workers on deepseek-v4-flash) with barrier-synchronized phases, worktree isolation, guardrail grants, budget caps, and cache-stable prefixes
SQL 优化模式:EXPLAIN 分析、索引策略、N+1 解决、查询改写。受 wshobson/agents(38k★ MIT)启发。