dsh-open-in-app-fix: Fix DSH unable to launch VS Code

The DSH client plugin dsh-open-in-app-fix, maintained by yanli-nyan, is introduced as a solution for DSH's inability to launch VS Code. The article explains its positioning, the v1.1.0 information in the SkillHub directory, and the installation method (by sending the installation prompt provided on the directory page to Harness). It also notes that the plugin runs with the current DSH process permissions and that the source code should be reviewed before installation. The public README could not be retrieved; typical usage should be based on the complete copy on the directory page and the plugin description after installation.

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Book-writing-assistant: A Skill for Compiling Fragmented Original Text into a Book Manuscript

book-writing-assistant is a community Skill on SkillHub, published by user_27b5dda9, version 1.0.0, categorized under content-creation. It has a rating of 100,000, 1,294 downloads, 0 installations, and does not enforce an API key at runtime. It helps authors complete the full book creation workflow based on original materials such as speech scripts, notes, and essays: collect source materials, refine and integrate them into systematic chapters, generate AI illustration drafts per chapter, design the cover, perform publication-ready page layout, and finally output a complete, editable manuscript. Use it when users mention writing a book, turning texts into a book, generating book illustrations, compiling manuscripts, cover design, or book layout. This article outlines its capabilities, limitations, and applicable scenarios. Installation commands and official example materials are not provided in this context and should be verified via the official page.

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Skill Maker: A Meta-tool for Creating AI Agent Skills from Scratch

Skill Maker (@user_fb8bdb79/ray-skill-generator, v1.15.1, community-published, categorized under ai-agent) is a meta-tool for creating AI Agent Skills from scratch. It integrates a six-step creation process, five-stage quality audit, four-type classification, and security review. It supports the entire workflow of requirements clarification, design, building, verification, and deployment. It features built-in progressive disclosure principles, anti-pattern scanning, source attribution desensitization, and health checks. The page score is 100000, with 1293 downloads, and it is tagged as requires_api_key=false. The article introduces its positioning, core features, trigger scenarios, and typical usage, while noting limitations such as the absence of installation commands and reproducible examples in the provided documentation.

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R&D Super Deduction Intelligent Assistant: Integrating Aggregation, Deduction, and Record-Keeping

A Skill published by community developer user_84cc09f2 (located at @user_84cc09f2/hongzhua-yanfa), version 1.0.2. Classified as 'professional', it requires no API Key. It covers six stages: applicability judgment, expense collection, deduction calculation, auxiliary ledger setup, reference documentation, and risk self-inspection. Keywords include R&D Super Deduction, Super Deduction, R&D Expense Collection, R&D Auxiliary Ledger, and A107012. It is not applicable for High-tech Enterprise Certification applications or simple financial bookkeeping and agency services.

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算命助手:八字称骨周易紫微六爻九宫择日黄历风水手相面相星座一站式命理知识引擎

覆盖十二命理体系的知识与执行引擎。核心是 mingli_core.py 引擎,处理农历干支四柱、十神、称骨、建除宜忌、平太阳时校正(内置1986-1991夏令时扣回与39城经度表)、子时换日双口径、每日幸运映射;深域(周易64卦五模式起卦、紫微排盘、六爻纳甲、九宫飞星年月盘)由服务器同源引擎按次返回结构化结果。知识资产落盘:称骨歌52档男女命全量、星座日期表、塔罗78张正逆位牌义、生肖释义,云端可扩展紫微星曜释义与十神释义,释义要求有出处、异文标注。内置 selftest.py 一键自检,当次实测66项全过,含第三方排盘黄金用例与384例六爻对拍。产品化机制含资料完整度S/A/B/C分级、引导卡、照片解读三步、起名问卷、体系分流菜单、语气三档、HTML报告与今日运势卡片、截图转录复算、时辰倒推、生辰复用、出解前质检清单。安全边界内置:理性结尾硬性、禁恐吓营销、不做疾病寿命断言、危机转介热线、未经本人同意不为其占卜、红线话题只引导不断。定位为传统文化科普与娱乐参考。

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Option Volatility Analysis and Trade Evaluation | Jianshi AI: Translating the Comparison of IV and RV into Trade Evaluation

This article introduces the SkillHub community skill "Options Volatility Analysis & Trading Evaluation | Jianshi AI" (located at @user_fccf428b/option-vol-analysis, version 1.0.1). The skill originates from the "community" category, falls under the "professional" classification, and features the tag `requires_api_key = false`. It has accumulated 100,000 ratings, 1,241 downloads, and 0 installations. The skill integrates volatility surfaces, options Greeks, and historical prices to compare implied volatility (IV) with realized volatility (RV), ultimately generating an assessment of volatility trading opportunities. The article outlines the core functionality, the universal integration method via SKILL.md (since the material does not provide an installation command, none is fabricated here), and the historical price and Greeks materials that should be prepared before use. Furthermore, it highlights key considerations, including RV estimation methods, surface fitting, and the reliability of community sources, while providing the official URL.

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dsh-team-progress: Gaining Visibility into Four Panels of an Agent Team with Durable State

dsh-team-progress is a DeepSeek Harness client plugin (v0.6.0) maintained by ucfjoe. It provides a "Team progress" tab within sessions, polling state via POST /api/team-progress/rpc approximately every 5 seconds. It displays member tasks, the defect ledger, goal rounds, and STALLED/BLOCKED todos. Sources that cannot be read are shown as "unavailable" rather than 0. To enable it, install it as a link dependency in the profile and configure defectLogs and related settings in cordis.patch.yml. The allowMutations option defaults to false. It has been verified end-to-end in DSH 0.2.1-rc.5.

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Desktop Pet Customization: Turn Descriptions or Images into Double-clickable Windows Desktop Pet EXE Files

Desktop Pet Maker is a SKILL.md-formatted Skill published by user_aee8f51d in the SkillHub community, located at @user_aee8f51d/desktop-pet-maker, with requires_api_key=false. It integrates transparent always-on-top display, dragging, idle animation, right-click menus, system tray support, and PyInstaller packaging into a complete workflow: users provide text descriptions and/or upload images to generate a double-clickable desktop pet exe on Windows. Trigger conditions: activate when mentions of desktop pet, making an image into a desktop pet, pet exe, etc. occur. The output targets Windows; confirm the environment can run the packaged artifact before deployment.

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dsh-apple-liquid-glass: Apply Apple-style Liquid Glass to DSH Web Client

dsh-apple-liquid-glass (v0.4.3, MIT, open-sourced by tianyuec11-design) injects an Apple-style liquid glass material into the DeepSeek Harness Web client: composer and sidebar, among other four-quadrant surfaces, can be toggled independently; Settings → Liquid Glass allows adjustment of intensity and opening animation. It includes Dynamic Island, a stroke-order "hello" animation, a model-switch particle sphere, and a composer blue glow that pauses during input. The article introduces installation commands (GitHub / Release tgz / dsh web CLI), configuration options, and applicable boundaries, emphasizing plugin permissions and the requirement for DSH version >= 0.2.1-0.

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dsh-splash-fish: Replacing the Default DSH Splash Screen with Depth-Driven 2.5D Animations

dsh-splash-fish (v0.3.0, Streamfish-lab) provides DeepSeek Harness with a splash screen featuring a black-frame reveal, offline 2.5D strand-level video layer, and a fade-in transition into the workspace, while suppressing the built-in launch page via index-inject. Based on the official README, this article outlines the desktop and Web/CLI installation paths, interactive prompts to skip, image replacement, and update considerations, while also noting plugin permissions and the MIT license.

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Yao Gao Ze Style AI Game UI Design: Converting Game UI Requirements into MJ/Niji Prompts

Yao Gao Ze Style AI Game UI Design (ID: @indiv-siyue4000/yaogao-ze-3, v1.0.0, Community Source, design-media Category, No API Key Required) is an AI image prompt generator tailored for game UI and interface art. It covers interface modules including login, main hall, mall, gacha, character development, combat, settings, announcements, friends, leaderboards, guilds, chat, events, characters, inventory, storyline, dungeons, and mission maps. It also encompasses UI elements such as icons, buttons, progress bars, item slots, cards, panels, tabs, titles, and logos. Built-in with 14 game UI design reference documents that load on demand, it transforms design principles—including style, composition, lighting, materials, and color schemes—into bilingual (Chinese/English) prompts that can be directly pasted into Midjourney or Nijijourney. It includes recommended parameters and negative prompts, providing prompt outputs rather than lengthy design articles.

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Introduction to the Alpaca Broker Market Data Skill: Verify Capability Boundaries Before Usage

This article introduces the "Alpaca Brokerage Market Data" skill on SkillHub. It is community-sourced, classified as "professional," and is at version 1.0.0 with `requires_api_key=true`. It has a verified rating of 100,000 and 1,272 downloads. The official description simply states that it is designed for Alpaca brokerage market data tasks. Since the provided documentation lacks installation commands, configuration fields, or reproducible invocation examples, this article strictly confirms its positioning, boundaries, and pre-activation checklist. We do not fabricate interfaces, fields, or Alpaca endpoints, and remind users to enable the skill via the official page and manage keys separately.

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dsh-quota: DSH Input Status Bar Multi-vendor Quota and Consumption Monitoring

dsh-quota is a DeepSeek Harness network tool plugin maintained by shy3130, displaying quota, balance, and local token statistics for Zhipu GLM, OpenCode Go, Kimi, Xiaomi Token plans, and DeepSeek official accounts in the input box status bar. The badge updates with the current model switch, and the detail panel includes reset countdowns with bar/ring indicators. Installation recommended: dsh plugin --profile desktop add @wshylabs/dsh-quota; tested with client version 0.2.1-rc.3, MIT licensed.

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Daily Key Insights from US Stock Research: AI 3-Section Summary of Multi-Source Financial Data

This section introduces the community Skill "US Stock Earnings Daily Core Views" (@user_92725383/us-earnings-digest, v1.0.0, professional category). This Skill utilizes tripartite multi-source data from SEC EDGAR, Finnhub, and Yahoo as input, which is processed by AI into a fixed 3-paragraph summary of core viewpoints. It addresses the high costs associated with manually reading multiple disclosures and research reports during earnings season. The official description provides only a single sentence outlining capabilities, without offering README details, sample outputs, or the prompt body. As the scraping tool could not access the official page, installation commands and configuration fields are unverified in this text; only the official address is provided, and users are advised to refer to the actual page for details. Metadata tags indicate requires_api_key=false, though the credential requirements for Finnhub are not specified. It is suitable for users who need to quickly scan core earnings viewpoints daily and already possess a Skill orchestration environment. Please note that the output consists of summary viewpoints rather than investment advice, and figures must still be verified against the original SEC disclosure documents.

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dsh-voice-conversation: DSH Hands-free Speech and English Voice Dialogue

dsh-voice-conversation is a DSH web client plugin maintained by redhunt07 (MIT, npm 0.1.2) that enables hands-free Italian/English conversation: it auto-submits after roughly 1.7 seconds of speech pause, and after the assistant’s final reply is read aloud it resumes listening. An inline dock retains the chat, tools, and DSH Think output. It supports an optional local Python backend (Whisper/Piper at 127.0.0.1:8766) or a self-hosted remote STT/TTS. Install with dsh plugin --profile web add dsh-voice-conversation; it is mutually exclusive with the old Voice Loop. Tested on DSH 0.2.0-rc.2, Node 22+, Linux web profile.

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Weaver E10 Planning Report: Assigning CRUD Operations to Agents

The E10 Plan Report Interface Skill covers eight core capabilities: creating, querying, modifying, publishing, and withdrawing reports, paginated queries for shared reports, submission reminders, and comment viewing. Released by Weaver Network Technology Co., Ltd., it is categorized under office-efficiency (version 1.0.2), with tags indicating requires_api_key=false. This article outlines its positioning, verified features, and activation methods (noting that while standard installation commands are not provided in public materials, it is enabled following the SKILL.md directory conventions), as well as typical intent descriptions and considerations regarding pagination handling, permission inheritance, and the recent version update.

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dsh-rayrun-computer: Create a Cloud Linux Desktop in the DSH Side Panel and Let the Agent Work on the Same Machine

dsh-rayrun-computer is a DSH client plugin maintained by RayrunOS. It creates and manages Rayrun cloud Linux environments in the sidebar, embeds a noVNC desktop, and provides tools such as rayrun_sandbox, rayrun_exec, and rayrun_workspace. It supports session-based cloud/local routing, token storage via Harness vault, and local-first push/pull verification synchronization. It must be installed from the source directory under the DSH 0.2.1-rc.5 environment with a Rayrun account configured. There is no outbound network by default, destroy is irreversible, and the bundle code runs within the DSH process.

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dsh-qoder-cloud-agents: Running DSH Sessions and Delegation Tasks in Qoder Cloud Sandboxes

dsh-qoder-cloud-agents is a DeepSeek Harness workflow plugin maintained by QoderAI. It runs full cloud-mode sessions within the Qoder Cloud Agents sandbox, delegates subagent_qoder_cloud_agents subtasks, or manages the environment and Agents through /qoder-cloud-agents. When the workspace is a git repository, it mounts the origin remote and pushes changes to the qoder-cloud-agents branch. Based on the official README, this article covers prerequisites, installation via npm pack, loading the tgz into the profile, ~/.dsh/.env tokens and cordis.patch.yml configuration, as well as typical usage, costs, and security considerations for the three entry points.

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Pitfall Avoidance Guide for Home Renovation: Automating the Screening and De-risking Process with Agents

The Home Renovation Company Pitfall-Avoidance Guide (handle: @user_cf67e960/zhuangxiu-gongsi-bilei; v1.0.4; source: community; category: life-service; API key not required) is a community Skill designed for homeowners selecting renovation/renovation firms. It turns the five stages—choosing a company, risk screening, reviewing quotations, auditing contracts, and handling mid-project price increases—into a reusable checklist framework. The official description states that it embeds 181 core reference documents. Usage is straightforward: ask questions in natural language, such as how to shortlist companies, which companies to avoid, how to identify missing line items in a quote, which contract clauses must be explicitly stated, and how to deal with on-site cost escalations during construction. This article summarizes the verified metadata and coordinates, notes the limitation that no installation command is provided (the official page does not offer a verifiable installation method, so no command is listed; it is only described as being loaded according to a standard SKILL.md directory layout), and outlines the target audience and constraints: the Skill provides methodology and does not replace on-site construction inspections and credential verification; the number of references is per official claims and was not independently verified on a per-item basis. Captured page data shows a score of 100000, 1,338 downloads, and 0 installs.

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dsh-bili-eyes: Enabling DSH Models to "See" Bilibili Videos

dsh-bili-eyes is a DSH networking plugin maintained by QiuYeDx that only recognizes Bilibili links. Through tools such as bili_look, it returns storyboard images along with titles, popular comments, and trending danmaku keywords. Optional login enables AI-generated subtitles and summaries. The plugin is read-only by default, and ffmpeg can be installed with one click on the settings page. The installation command is `dsh plugin --profile desktop add dsh-bili-eyes`, requiring DSH version 0.2.1 or later. Write operations, inbox access, comment moderation, and similar features must be enabled according to the permission table on the "Bilibili Partner" settings page. It is recommended to use a secondary account and to review the source code and potential risks yourself.

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Engineering Design Solutions: Ensuring Bids and Proposals Withstand Evaluation Scrutiny

Introduce the community Skill "Engineered Solution Design" (@user_ca0a159e/design-engineered-solution, v1.0.0, business-ops, rating 100000/downloads 1303). It employs engineering methodologies to draft, refine, or review solutions, bidding technical and engineering proposals, covering sections such as Introduction, Overview, and Implementation Pathway. The objective is to ensure that each step is acceptable, risks are mitigated, commitments are verifiable, and the entire process is traceable. Core capabilities include drafting and refining proposals, identifying shallow or unstructured content in reviews, rewriting proposals from a client perspective, and completing acceptance and risk mechanisms. It does not require an API Key. The text provides the official address and applicable scenarios, and notes limitations such as the lack of an installation command and the requirement for manual review of business data.

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Thu-tok-auto: Automatically Obtaining and Renewing Tsinghua MadModel Tokens in DSH

thu-tok-auto is a DeepSeek Harness profile bundle plugin maintained by OverDustD7, designed for madmodel.cs.tsinghua.edu.cn. It facilitates tiered JWT renewal via Get/Auto modes, writes to MADMODEL_API_KEY, and syncs with llm-pi-ai.providers.madmodel, supporting SSO replay and a unified authentication login fallback for manual Get requests. Based on the official README, this article covers key usage points including installation commands, renewal strategies, UI status semantics, credential YAML configuration, permissions, and known limitations.

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Neko_02 (dsh-usage-overview): View Account Balance and Usage Heatmap within DSH Desktop

Neko_02 (dsh-usage-overview) is a DSH desktop community client plugin maintained by nTillMeetu. It replaces the "Settings → Account & Balance → Usage Query" section from an embedded platform page with an in-app panel, displaying balance, cumulative consumption/tokens/requests, monthly calendar heatmaps, and daily breakdowns. It supports API Key filtering and current month CSV export. The Host side calls the Platform usage API to aggregate data, with tokens remaining on the Host. Installation requires cloning the repository and running `node install.mjs`, followed by a DSH restart. Licensed under MIT 1.0.1, this is an unofficial product; changes in the DSH API may lead to compatibility issues.

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dsh-freecad: Read/Write STEP and Generate First Angle Projection Drawings in Local FreeCAD

dsh-freecad is a DSH client bundle maintained by Negulons: geometry processing is performed within the FreeCAD process, providing tools such as freecad_inspect_step, freecad_edit_step, and freecad_step_to_drawing to read STEP files and generate SVG/DXF/PDF/PNG machining drawings. It supports installation via a plugin page or npm and requires FreeCAD 1.0/1.1 along with freecadcmd. This is not production-grade drafting, and data remains local on the machine.

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DSH-GitHub-Trending: Generating and Auto-PRing Daily Chinese GitHub Trending Reports in DSH

The DSH networking plugin maintained by morehao, @morehao/dsh-github-trending, schedules the local trendradar core to fetch GitHub Trending on a daily/weekly/monthly basis, generates Chinese introductions and summaries, optionally subscribes to Release summaries, automatically commits and opens PRs. The plugin handles configuration, scheduling, and the workbench (overview, rankings, run records, settings, subscriptions) without modifying the core output. Installation: dsh plugin --profile <profile> add @morehao/dsh-github-trending; requires DSH 0.2.1-rc.3+, Node ^22.20 or ≥24, git ≥2.30.

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