vibe
Vibe Code Orchestrator (VCO) is a governed runtime entry that freezes requirements, bounds execution, and enforces verification and phase cleanup.
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Vibe Code Orchestrator (VCO) is a governed runtime entry that freezes requirements, bounds execution, and enforces verification and phase cleanup.
鲸鱼记事本 — 你的 Agent 年度/月度/周度/日报:从会话事件日志生成数据新闻官式报告,任意区间、定时生成。
OMK — Observe. Measure. Know. Evidence-backed knowledge changes for AI applications.
Token-efficient assistant discipline for concise answers and task execution. Use when the user asks for direct, low-token work, or invokes this skill; includes optional file and Windows encoding utilities declared below.
RMB/USD token-billing plugin for DSH web: official-policy auto pricing (incl. peak/off-peak), full coding-plan billing by provider routing, Settings→Cost summary page, per-message ledger, account balance, locale-driven currency display
Provider Model Configurator for DeepSeek Harness: view, create, edit, copy and delete model entries (context window, max output, modalities, reasoning efforts) across your configured providers, with quick-fill from the pi-ai preset catalog.
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.
面向 DeepSeek Harness 的长篇网络小说写文引擎插件:独立 DeepSeek key 分流并行生成(起草/润色/同步/子代理四通道)、多书隔离(一个工作区=一本书)、弹性合同体系(故事承诺书/追读力台账/五段任务书/硬关卡)、章后八项体检(含节奏信号与 AI 味检查)、起点+番茄双平台审稿、发书前敏感自查、语义检索(概念索引)与饲料区书库管理。
Reasoning effort settings and per-call subagent model routing for DeepSeek Harness custom providers
Vertical prompt quick-jump rail for the DeepSeek Harness web conversation view
Third-party DSH WebUI enhancement plugin: custom backgrounds, theme colors, prompt presets, token visibility, and manual context compaction.
Eyes for text-only DeepSeek on DeepSeek Harness: image understanding via Doubao Web by default (zero cost, no API key), Antigravity IDE quota (flash/pro), Gemini API, or Cockpit proxy — model-invokable vision tool, wrapper adapters, evidence memory, and a bilingual client panel.
Real-time token consumption HUD for DeepSeek Harness: a sleek tech-style panel showing live token usage, context pressure and cost estimates across sessions
CC Switch-style token consumption statistics for the DeepSeek Harness Web GUI: per-request usage log, real-consumption hero, request-time-bucketed trend chart, per-model peak/off-peak list pricing, per-project and per-model stats, and account balance.
A loop dock for DeepSeek Harness: one harness, multiple agent loops.
Web-chat-like message actions for DeepSeek Harness: edit-and-resend your prompt and regenerate answers in place, with a deepseek.com-style <i/N> version pager on every versioned message.
View, hook, replace, and switch DeepSeek Harness system prompts via presets
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.
One memory layer for every AI tool and agent, packaged for DeepSeek Harness with startup context, prompt-time recall, Mem MCP tools, and DSH thread capture.
Native DeepSeek API balance and local token usage dashboard for DeepSeek Harness
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.
Unified DeepSeek Harness plugin: role-based subagent routing + per-agent evolution — prefercmd/memory as knowledge allow/deny lists, so repeated tasks start from proven commands and save tokens
模型路由网关:一个端点连接 290+ AI 提供商(90+ 免费、1200+ 模型),Claude Code/Codex/Cursor/Cline/Copilot 全兼容——配额感知自动回退、19 种路由策略、RTK+Caveman 叠加压缩省 15-95% token、免费层聚合预算(~1.5B tokens/月)、MCP/A2A、本地优先。受 diegosouzapw/OmniRoute(51k★ MIT)启发。
网页复刻:从参考图/URL 提取字体、颜色、动画、组件结构,生成还原度高的网页项目。受 xuanxuan-prompts(169★)启发。