dsh-rss-daily
dsh plugin: daily RSS news digest from 46 curated sources, LLM-edited via the model already configured in dsh, delivered to your IM via webhook (ServerChan / PushDeer / WeCom / Telegram / Bark / gotify / custom).
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dsh plugin: daily RSS news digest from 46 curated sources, LLM-edited via the model already configured in dsh, delivered to your IM via webhook (ServerChan / PushDeer / WeCom / Telegram / Bark / gotify / custom).
Native DSH tools for Unreal Engine uasset inspection and the Blueprint node edits exposed by built-in UE Python
Content-addressed audit indexes across independent DeepSeek Harness evidence producers
DeepSeek Harness LLM adapter plugin for locally deployed Qwen models behind a vLLM OpenAI-compatible endpoint: per-model multimodal switch, fully configurable reasoning efforts, and a web settings page (client plugin) for editing the deployment from the frontend
Scan agent skill packages for static security risks. Use for skill audit, security check, prompt-injection review, suspicious scripts, unsafe dependencies, zip package review, and pre-install skill review. Not for runtime monitoring.
A reusable DeepSeek Harness bundle for evidence-driven memory, orchestration, benchmark operations, repository audits, and plugin release workflows.
Retrieved ≠ injected: CBDC-gated memory for DeepSeek Harness — decides how memory is USED (use/verify/ignore decisions, feedback learning, full audit); local SQLite + FTS5, bounded, no extra model call
Find and audit DeepSeek Harness (DSH) plugins inside the agent — live `dsh-plugin` topic search + source audit with trial-to-production install plans.
DSH rules plugin: activate rule prompts / markdown documents by glob-matching the files an agent reads or edits (Claude Code rules.md style).
DeepSeek Harness 额度插件:按供应商展示内置套餐、余额或自定义 HTTP 额度,并提供模型计价、本会话估算与累计消耗
OMV Audit Desk: an evidence-first vulnerability audit workbench for DeepSeek Harness
DSH web plugin: a Skill Manager page in the settings panel browsing system / user / workspace / preset skills, with file-tree editing, zip import/export, and delete (system skills read-only).
Context-aware voice input for DeepSeek Harness with Web Speech, local SenseVoice transcription, model polish, editable Composer drafts, and user-controlled sending
Minimal first-turn conditioning for DeepSeek Harness Web sessions, with a persistent UI toggle.
DeepSeek Harness single-package plugin: workspace-confined editable file API, CodeMirror 6 editor, and a four-pane workspace-studio Web layout
Per-model reasoning-effort and vision capability editor for DSH pi-ai provider profiles.
Harness Plugin Store Optimized: a customized fork of dsh-plugin-hub — configurable plugin download directory, bundle-layer conflict detection, automatic pnpm lookup, and upstream bug fixes
Citation Auditor — 审查 AI 回复里的引用来源:扫描、评分、出报表,拦截策略可配
Windows 上操控 QQ NT(含效率/经典两种模式)的唯一权威方法 —— 基于 UI Automation 类名定位(qq-msg-editor / chat-header__contact-name / message-container / send-msg),可自动打开会话、读消息(区分己方对方)、发消息、发文件、读/下群文件、多会话轮询陪聊;内置环境自检与换机校准流程。环境:Windows + PowerShell 5.1+。
DeepSeek Harness plugin: learning agentic router — rule + UCB + LinUCB + k-NN experts under an EXP3 meta-selector, with a durable quality-reward flywheel, REAL model switching via the session request-header precedence chain, and STEP-LEVEL routing (v1.5.0)
自然语言查询 + 商业智能报表插件 for DeepSeek Harness:在 dsh-mysql 连接底座之上,提供 Text2SQL 自然语言查库、15+ 图表类型、Dashboard 仪表盘、指标/维度管理、多维分析、自助分析、报表导出、审计日志与数据权限。Natural-language data queries + enterprise BI reports for DeepSeek Harness: Text2SQL, 15+ chart types, dashboards, metric management, multi-dimensional analysis, self-service analysis, export, audit log and data permissions.
DSH 启动时自动完成 WorkBuddy 国内版账号的每日签到 — runs the WorkBuddy (CN) daily check-in on DSH startup, claiming the daily credits.
Labnana image generation for DeepSeek Harness: text-to-image / image-to-image / precise editing with credits estimation, subscription balance and web settings UI.
A stateful, Agent-controllable Jupyter workspace for DeepSeek Harness: a persistent ipykernel runtime the DSH agent can read, edit, execute, and inspect, with VS Code-aligned cell UI and .ipynb save/load.