马斯克第一性原理工程分析：用五步法拆成本、找结构性溢价
SkillHub 社区 Skill「马斯克第一性原理工程分析」（v1.0.0，business-ops）将质疑、拆解、识别溢价、重构、验证五步方法论写入 SKILL.md，配合 FUPL 基准价与 SPI 指数，用于项目设计、工程造价、商业分析、报告与投资决策等降本增效场景。本文介绍其定位、核心能力、SkillHub CLI 与 Cursor 等客户端的安装路径，以及文档内置的软件报价分析示例；并说明社区来源、无需 API Key 及使用基准价时需自行核实的限制。
Read MoreDeepSeek Peak-Off-Peak Price-Aware Task Executor
The DeepSeek Harness (DSH) plugin is designed to address the cost of model calls. By recognizing DeepSeek's time-of-use pricing strategy—where UTC 01:00–04:00 and 06:00–10:00 are peak hours—it automatically executes tasks during off-peak periods and queues them during peak periods, thereby reducing the average cost. Core features include automatic queueing and scheduling, status monitoring, and task management. Users only need to install the plugin and configure parameters to invoke the `peak_run` tool directly in a conversation for summarization, translation, or similar tasks. Configuration should account for inference costs and permission security, making it suitable for batch text processing during off-peak hours.
Read Moredsh-peak-hours: DeepSeek Harness Execution Window Toggle Plugin
The DeepSeek Harness plugin `dsh-peak-hours` helps users reduce model invocation costs by automatically running or pausing tasks during off-peak hours to optimize resource usage. It supports two modes, "Always Run" and "Run During Off-Peak Hours Only," and determines peak and off-peak windows for Monday through Friday based on the Beijing time zone (UTC+8), with support for statutory holidays. Users can switch modes, query status, and simulate the clock through UI controls or the provided HTTP API. Implemented purely in JavaScript, the plugin should be installed carefully to avoid mixing installation methods. It controls task execution via an interception mechanism, making it suitable for scenarios that require running tasks only within specific time windows.
Read Moredsh-task-effort: Automatically Adjust Model Reasoning Effort Based on Task
This plugin is designed for DeepSeek Harness (DSH) agent development and automatically adjusts the model’s `reasoningEffort` parameter by intelligently recognizing task content. It assesses task complexity based on keywords and message length, and supports automatic effort capping during peak hours to reduce costs. The plugin provides manual fallback mechanisms (GUI or `[effort=...]` tags) and automatic escalation on errors. By injecting system reminders and capsule displays, it allows users to clearly see the current effort level and the rationale behind it, effectively controlling token consumption while preserving reasoning quality.
Read Moredsh-squeeze-command: On-Demand Context Compression for DeepSeek Harness
`dsh-squeeze-command` is a plugin for DeepSeek Harness (DSH) designed to address the soaring input token costs caused by excessively long conversations. It uses a manually triggered mechanism, allowing the conversational model to select the compression scope and employing a cheap, high-speed model to generate summaries, thereby effectively controlling the token budget while preserving the original logs. The tool features no discarded content, resistance to post-compression perplexity, and refusal to run during agent turns. During installation, the token budget and a flash-tier summarization model must be configured. Through commands such as `/squeeze`, users can flexibly adjust the context size or check the compression status, making it a practical tool for long-running, cost-sensitive scenarios.
Read Moredsh-nightshift: Night Off-Peak Scheduling Plugin for DeepSeek Harness
dsh-nightshift is a plugin for DeepSeek Harness designed to take advantage of the model's lower nighttime pricing. It allows users to queue tasks during peak hours and automatically release them for processing during off-peak hours, while generating save reports automatically. The plugin provides a sidebar panel to manage the queue and supports retry policies, persistent queues, and idempotent task handling. Users need to configure peak/off-peak windows and pricing; after installation, they can queue tasks via the 🌙 button to optimize costs.
Read Moredsh-session-guard: Automatic Session Gate Plugin for Peak Hours
`dsh-session-guard` is a plugin specifically designed for DeepSeek Harness (DSH), aimed at addressing cost optimization under peak and off-peak pricing. Through an automatic session gating mechanism, it automatically pauses all running root sessions during peak hours, and only takes effect on weekends or when a third-party provider is used. It supports core features such as session-level freeze and resume, backend-adaptive retries, and silent degradation. During installation, be sure to specify the dist-tag. Currently, Japanese and Korean support is constrained by the language pack limitations of the official DSH.
Read Moredsh-mcp-lens: A DeepSeek Harness MCP Plugin for Tool Routing and Cost Optimization
`dsh-mcp-lens` is a plugin for DeepSeek Harness (DSH) designed to address the challenges of large context size, high cost, and slow response times when connecting over 1,000 MCP tools. By leveraging data compression and routing technologies, it consolidates a vast number of tool instructions into two concise interfaces, reducing data size by 90%, improving response times by more than 50%, and supporting local computation as well as secure, compliance-friendly processing. Users can download and run it directly, making it suitable for developers who need to optimize cost, enhance performance, and manage large numbers of tools.
Read Moredsh-model-router: Model Routing and Cost Dashboard for DeepSeek Harness
`dsh-model-router` is a model routing and cost optimization plugin for DeepSeek Harness. It routes simple requests to cheaper models through heuristic rules, reserves complex requests for the main model, and automatically falls back on instantaneous failures. This approach reduces costs while ensuring quality for requests requiring context, vision, or reasoning capabilities. The plugin supports vision-aware routing, prioritizing available vision models if messages contain images, and respects user-selected models. In automatic mode, it prompts the user for a quick response when a simple request is detected. Additionally, it provides a real-time panel in the Composer Dock, displaying token usage, cache hits, and estimated costs based on the pricing table. Installation requires ensuring the `dsh` CLI is in the PATH, followed by restarting the Web profile.
Read MoreUse dsh-model-router to implement model routing and cost dashboard for DeepSeek Harness
`dsh-model-router` is a DeepSeek Harness web plugin maintained by *tianji-qingtian*. It directly answers simple questions after verification by the Flash Judge, automatically downgrades when instantaneous failures occur, and displays token counts, cache hit status and estimated costs below the input box. This article verifies the installation commands, `/router` usage and known limitations by cross-checking with the directory page and GitHub README/source code.
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