@linxin666/dsh-balance
濡€崇€风拹锔藉煕娴f瑩顤傞幃顒佽癁缁?for the dsh web GUI: floating model-account balance monitor with a Plugins-settings master switch. Supports DeepSeek / SiliconFlow / Moonshot / OpenRouter balance endpoints. Zero runtime dependencies.
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濡€崇€风拹锔藉煕娴f瑩顤傞幃顒佽癁缁?for the dsh web GUI: floating model-account balance monitor with a Plugins-settings master switch. Supports DeepSeek / SiliconFlow / Moonshot / OpenRouter balance endpoints. Zero runtime dependencies.
驯兽师(驯兽场):把人类语言翻译给智能体的 DSH 插件——注入「开智」内核(第一性原理 + 需求剖析 + 极简沟通 + 最少 token),左上角悬浮萌宠,设置页可配内核与开关。
Auto-switch DeepSeek models for DeepSeek Harness: routes every model request to the vision model when images are present, to the pro model for complex tasks, and to the fast model otherwise; includes a switch_model tool for manual per-session overrides.
Windows-grade notifications for DeepSeek Harness: system toasts, custom sounds, and a taskbar tray badge for task completion and decision prompts — a native DSH profile plugin (bundle + client + settings namespace), zero patching of built-in packages.
Image routing for text-only models in DeepSeek Harness: a global analyze_image tool (Kimi vision) plus automatic rewriting of pasted images into attachment references when the active model cannot see images.
Email reminders from your DSH agent when you're away — a hardened fork of dsh-notify-skill: stable SMTP (no 535 retry loop), connect/idle timeouts, --check self-test, and full message headers.
DSH agent preset 分发包:修复极简模式(minimal)预设中 persistent bash 工具约 3.5s 延迟返回的完成检测 bug,并同步 minimal-fast preset 到 ~/.dsh/.agent-presets/minimal-fast。
DeepSeek Harness 插件:当任务完成且你不在 DSH 界面时,发送 Windows 系统通知(右下角 Toast)。
VulnClaw + DeepSec 桥接插件:AI 安全 CLI(授权渗透测试 / Shield 代码审计)→ dsh 工具 + 设置页安全工具台 UI
聊天框语音输入按钮 for DeepSeek Harness: 点击麦克风说话,多引擎转写(智谱 GLM-ASR-2512 / 本地 faster-whisper / Gemini / OpenAI)自动填入输入框。一个按钮,所见即所得。
dsh auto-vision bridge: paste an image into a text-only model's composer and a configured multimodal model transcribes it as text, automatically.
DSH 文件适配插件(面向 DSH 0.1.2-alpha.1):拖拽/粘贴/点击上传/@ 文件引用加入本地文件,以「文件:<路径>」引用随消息发出;主模型按需调用 dshomnifile 工具解析——文本多编码直读、Office/PDF 等文档由 anydoc 提文本、文档内嵌图片与扫描/图文混排 PDF 页由进程内 pdfjs 渲染 + 配置的多模态模型识别(内容哈希缓存 + 并发排队)并组装为 Markdown;聊天内文件卡片可预览图片、本地打开源文件;识别走官方 ctx.llm.stream。
DSH 安全启动器:按上次成功配置启动、更新先试运行再采纳、插件先兼容性检查再安装。A DSH plugin for last-good boot config, canary-tested updates, and compatibility-checked plugin installation.
DeepSeek balance & token-cost plugin for DeepSeek Harness (dual-face): query official balances of every DeepSeek provider (multi API key), compute costs (last question / session / today-project / today-all) from token usage with a user-editable price table. Unified modal UI, bilingual (zh/en)
Hacker-terminal skin for the dsh web GUI: pure black background, high-contrast green, right-angle geometry, monospace font, full-width conversation, OLED-safe, scrollbars on Gecko/Blink/WebKit.
DeepSeek Harness 本地音乐播放插件:Host 扫描音乐目录并以 HTTP 流式提供音频、自建歌单与播客 RSS 订阅(在线播放各集音频),浏览器侧提供播放条/播放面板/实时频谱,并注册 music_play_plus 模型工具
A safety harness plugin for DeepSeek Harness (DSH): protected-path enforcement, trash-based safe_delete with undo, last-known-good composition snapshots, pre-restart composition checks, and an audit journal.
Agent discipline guard for DeepSeek Harness: loop circuit-breaker, token-cost fuse, route-switch warning and plan approval — enforced at the harness boundary, so the model cannot talk its way past them. / DSH Agent 纪律卫士:循环熔断、成本熔断、路由警示、计划门四道硬闸门。
Plugin manager for the dsh web GUI: paste a GitHub repo URL, verify it is a dsh plugin (bundle or pure cordis), install, then update / remove / enable / disable across the full lifecycle, with background auto-update.
DSH Web GUI 内的 B 站随机视频小窗(鲸鱼监工):可拖拽缩放、弹幕、扫码登录、多档画质、任务完成联动
DSH Chinese chess pastime plugin — a draggable mascot that invites you to play Xiangqi while the AI thinks
综合消息桥:一个插件把 DeepSeek Harness 接入 QQ / 微信 / 飞书 / Telegram / Discord / KOOK / LINE / Slack / 钉钉 / 企业微信 等 19 个平台(架构参考 AstrBot)。
Vision recognition plugin for DeepSeek Harness: paste images into the composer, recognize them via GLM-4V on the host side, and inject the result into the conversation.
DSH-Plugin: structural observability layer — real tool/skill usage recording (tools/result), skill-catalog audit, and a watchdog with health/error events. No model self-reporting.