dsh-cairn: Let Task State Survive DSH Context Compaction
dsh-cairn is a DSH memory plugin maintained by Saretheya: the model writes goals, conclusions, and evidence to the plugin's own directory via checkpoint_write, and re-injects checkpoints into the systemPrompt.section after each context compression. It supports four-tier injection strategies, upper/lower document position reminders, and tools such as checkpoint_read and context_status. The installation command is `dsh plugin --profile desktop add dsh-cairn`, requiring DSH 0.2.x. Checkpoints are not written to the workspace; cross-session recall relies on topic and keywords.
Read MorePre-launch Medical: Consolidating Nine Input Categories into a Single Skill
Drug-medical-prelaunch is a Skill designed for pre-launch medical scenarios, published by user_31815b66 from the SkillHub community. Versioned at 1.0.0 and categorized as "professional," it requires no API key. It covers nine functional areas: therapeutic area medical landscape, CDP medical inputs, protocol medical review, Medical Monitor essentials, regulatory filing medical support (CTD clinical sections/clinical overviews/supplementary responses/package inserts), pre-launch RWE positioning, KOL mapping and Advisory Board planning, domain medical insights and competitor clinical data comparison, and product medical positioning anticipation and evidence roadmaps. Built-in foundational module foundation.md switches between novice and senior depth levels based on user proficiency, and strictly delineates medical exclusive functions, collaborative interfaces, and non-medical boundaries. This article introduces its core features, trigger usage, applicable scenarios, and limitations.
Read MoreFund Prospectus Diagram - Prospectus Pagination: Layout of confirmed prospectus key points into static page frames
This article introduces the Skill "Fund Prospectus Images · Prospectus to Paginated Pages" (ID: @u_319b171b/fund-page-set) on SkillHub (Version 0.1.1, Category: design-media, Source: community, Publisher: u_319b171b, Rating: 100,000, Downloads: 793, Installs: 0, API Key: Not required). Its purpose is to arrange user-provided, validated key points of a fund prospectus into static paginated frames while simultaneously generating a fund fact sheet, ensuring information consistency across the paginated images and text. The article begins by outlining the pain points it addresses: confusion between validated key points and draft text during PDF extraction, copying, and manual layout; leakage of key points across pages; and illegible extracted pages on mobile devices. Core functionalities are limited to two items: creating paginated static frames and generating fund fact sheets; the validity of key points remains subject to human confirmation. Since official installation commands, directory conventions, and configuration fields were not provided in the source material, the article refrains from speculating on specific commands. Instead, it describes a generic enabling path based on the standard SKILL.md format, noting that directory locations and reference syntax may differ across Claude Code, Cursor, and Codex CLI, which should be verified per their respective documentation. Typical usage involves four steps: preparing and confirming key points item by item, submitting key points, checking page count and information density, and exporting static frames and fact sheets. It emphasizes that point confirmation precedes typography. Applicable scenarios include creating externally readable paginated images from confirmed points, pairing image output with fact sheets, and completing layout without external services. Cautions include: the tool does not validate key points or replace compliance reviews; version 0.1.1 is an early release; install count is zero with few public cases; and no scanned PDF recognition capability is mentioned in the source. The article concludes with the official URL.
Read Moredsh-auto-title: Manage Harness Sessions with a Single Short Title
dsh-auto-title is a DeepSeek Harness desktop plugin maintained by SarahDeady. Through the sessionTitle service, it distills the context into a single-line title no wider than 12 Chinese characters after each conversation turn. Once a user manually renames it in the sidebar, Harness locks the title and no longer automatically overwrites it; the conversation menu offers "Refresh title" to force recalculation, with a 4-second throttle and deterministic titles for sub-conversations. Installation recommends `plugin_manager install_bundle` from a local directory or mounting via a profile link, which disables the built-in session-title-llm. MIT licensed, Node >= 22.
Read MorePre-bid Analysis Assistant: Early Check on Projects, Competitors, and Risks Before the Bid
The Pre-bid Analysis Assistant is an Agent Skill designed for bidding due diligence scenarios. Located at @user_a15e4142/pre-bid-analysis-assistant (Version 1.0.9), it originates from the community and is categorized under business-ops. It has a rating of 100,000 and 796 downloads. Leveraging historical bidding data from across the web, it generates a pre-bid analysis report for specific tender projects. The report covers project profile breakdowns (budget, subject matter, qualification thresholds, timelines), analysis of the procurer's historical purchases and preferred suppliers, competitor predictions, historical transaction price references for similar projects, screening for disqualification red lines and restrictive clauses, and bidding decision recommendations. The skill is triggered when users provide a specific tender project for pre-investment analysis, or request pre-bid investigations, project background checks, or advice on whether to bid. It is not driven by specific keywords. This Skill carries the `requires_api_key=true` label. As the official page could not be retrieved and installation commands or configuration fields were not provided in the materials, verification on the official page is required. The text accurately describes applicable scenarios and limitations, without fabricating installation steps or user feedback.
Read Moredsh-restart-handoff: Automatically restart and restore the conversation to the original session when required after changes
dsh-restart-handoff is a DSH client plugin maintained by Saolence for the DSH desktop app on macOS. When plugin_manager returns restart-required or the main session calls restart_handoff, it restarts the host after the turn completes or when the entire session is idle. It delivers the handoff message written by the model as the next message in the original session, eliminating the need to repeat progress updates after a manual restart. It supports installation via tarball, npm, or a local directory through install_bundle. The settings panel allows control over auto-restart, wait-for-idle, and resume functionality. Pure web/CLI environments and non-macOS platforms are not supported.
Read MoreBusiness Management: Routing a Management Issue to the Entry-Point Skill of the Three Layers
Business Management is an entry-point Skill for a business management system, with the coordinates @user_52850a00/business-management, Version 2.5.0, Source: community, Category: business-ops, and Tag: requires_api_key=false. Instead of generating lengthy responses, it triages a user's single-sentence input into three layers: A - Corporate Management Insight (focusing on the "X-Factor"), B - Internal Corporate Management (focusing on "Execution"), and C - Project Tactical Map (focusing on "Action"). It routes the input to the corresponding sub-Skill and provides the system overview, four operational vessels, core concepts, and applicable boundaries for each layer. Trigger words cover: business management, corporate management, help me manage a company, how to manage this company, the company is becoming increasingly chaotic, is this project worth investing in, should we accept this order, payments are stuck, key accounts, knowledge bases are ignored, performance evaluation, is it worth changing the leadership, leadership analysis, corporate culture diagnosis, what to do when the industry is declining, analyzing a company, strategic decoding, and management consulting. The article explains its positioning, core functions, installation and activation precautions, four typical entry-point usage scenarios, and the boundary that it acts solely as a routing entry point, with its specific capabilities depending on the sub-Skills.
Read Moredsh-turn-clock: Browse by date and jump to session turns in the DSH right panel
**dsh-turn-clock** is a DSH client plugin maintained by **saltedfish-T** that adds a **Turn timeline** tab to the official **right Sidebar**. It groups entries by calendar day and lists the date (**HH:mm** format) for when each turn started, along with a preview of its corresponding prompt. By clicking or using keyboard shortcuts, users can invoke `loadThrough` to load and scroll to the corresponding turn. It functions across the entire session log, with no reliance on the `dsh-better-sidebar` plugin. It is particularly useful for navigation when the built-in turn rail is not displaying time information, or the transcript is ≤900px in width. To install, run: `dsh plugin --profile web add github:saltedfish-T/dsh-turn-clock`. Tested with DSH 0.2.1-rc.5 and licensed under **MIT**, its jump functionality depends on two internal APIs, and jumped turns removed by compaction will be unreachable.
Read MoreDistill a Book: Turning E-books into Knowledge Bases and Skill Cards
"Distill a Book" is a community Skill for the content-creation category: @user_d1f4c870/book-distill, v1.0.3, and requires no API key. It transforms PDF/EPUB/TXT/MD/DOCX into a knowledge base and callable skill cards: it first detects whether the input is a text-based or scanned version, then classifies the book as either tool/practical or cognition/thinking, and after splitting by chapters it produces six files with the book title as the prefix: 00_Original, 01_One-pager, 02_Full_Notes, 03_Q&A_Set, 04_Concept_Dictionary, 05_Action_Checklist. It also generates multiple IEATB skill cards, followed by a sourced spot-check verification and archival step. The key distinction is that distillation is not summarization; the outputs are designed to be directly callable, with citations that include sources and have been verified against the original text. Trigger phrases include: distill this book, 拆书, extract knowledge from a book, turn a book into a skill/Skill, break down a specific book, how to use this book, book distillation, make a knowledge base. The documentation outlines use cases and limitations: it is suitable for long-form texts that require long-term accumulation and later retrieval, and is not intended for one-off/disposable reading summaries; scanned vs. text versions must be distinguished beforehand, and the actual effectiveness depends on input quality and the host's execution.
Read MoreIndependent E-commerce from 0 to 1: End-to-End Workbench for Site Setup to Fulfillment
"From 0 to 1 DTC Full-Case" is a business-ops Skill published by Kunlun Growth on SkillHub, aimed at end-to-end build and growth for brand DTC sites. It consolidates the workflow into six stages: positioning and product selection → site build and UX → traffic acquisition → conversion optimization → payment and fulfillment → retention and repeat purchase. It also embeds four methodologies mapped to specific stages: category-fit assessment, landing page creed, a three-phase traffic play, and a cart abandonment recovery model. No reproducible call examples are provided, so the guide outlines only the execution order: first, perform category-fit assessment to validate the category; then apply the landing page creed to define page structure; use the three-phase traffic play to set acquisition cadence; review the conversion path; integrate payments and employ the cart abandonment model to recover unpaid orders; finally, implement retention and repeat purchase. The output is directly deliverable, and the full workflow includes self-help remedies for bottlenecks and compliance guardrails. The Skill follows the standard SKILL.md format and is marked as requires_api_key=false, so no additional API key is needed. Note: the official materials do not provide installation commands, directory paths, configuration fields, or client-specific differences; therefore, no commands are included to avoid misleading users. There are also no output samples or quantitative performance data; it is recommended to validate with a single category in a small scope first. Compliance guardrails are part of the process; when handling payments, consumer information, and advertising, platform rules in effect at the time still apply. Not requiring an API key does not mean the Skill can run independently without real platform configuration—site build and payment still require configuration on the relevant platforms.
Read MoreSelf Dev Wecom Npc Skill: End-to-End Workflow for Integrating WeCom Bots with CNB NPC
Self Dev Wecom Npc Skill is a community-sourced Agent Skill (coordinates: @user_f12a44b7/self-dev-wecom-npc-skill, version 2.0.0, category: dev-programming) designed to connect Enterprise WeChat smart bots (long connection mode) with CNB NPCs into an end-to-end pipeline. Capabilities listed in the official description include Enterprise WeChat backend configuration, CNB NPC repository creation, pipeline configuration, Node.js long connection client, NPC result extraction, systemd persistence, and multi-bot deployment, supporting different roles and model styles for different bots. The Skill is tagged with `requires_api_key=true` and requires a model API Key to run; official trigger scenarios cover Enterprise WeChat bots, WeCom NPCs, WeCom bots, NPC long connections, smart bots, group chat AI, and DeepSeek bots. The Skill adopts the standard SKILL.md format; official materials do not provide a unified installation command or import steps for various hosts (Cursor, Codex CLI, Claude Code). This article does not speculate on commands but provides coordinates, versions, sources, and official addresses, reminding readers to verify the official page before importing. The typical usage follows the sequence provided by the official source: configure the Enterprise WeChat bot, create a CNB NPC repository and configure the pipeline, deploy the long connection client, extract results, and use systemd for persistence and optional multi-machine deployment. Specific configuration fields and commands should be based on the documentation within the Skill and the official documentation of Enterprise WeChat and CNB. This is suitable for users who need to run AI bots in Enterprise WeChat groups long-term and are willing to maintain the server-side themselves; note that you must provide your own API Key, ensure the server is online, and verify message frequency and security restrictions according to the official Enterprise WeChat documentation.
Read MoreWorkBuddy Points Station: An Automated Skill for Daily Check-in
WorkBuddy Points Station is an Agent Skill designed to automatically claim daily check-in points and rewards from WorkBuddy's "Buddy Station" and "Cat Dispatch Travel". It is cross-platform (Windows / macOS / Linux) and utilizes only the pure Python standard library with zero dependencies. It features a three-channel automatic fallback strategy (Official WBIPC Host Channel → Handshake via Official wbipc Protocol → Self-renewing Long-term Tokens) and implements post-claim verification, request-level retries, interface failover, and concurrency guards. It supports boot-time catch-up check-ins and multi-channel notifications. The skill is compatible with encrypted login states (version 5.6.2+) and ensures the login state is read-only and never rewritten. It is activated by user intents such as "check-in," "claim points," "check points," "consecutive check-in days," "Cat Dispatch Travel," "long-term tokens," or "client-free check-in." The official address is https://api.skillhub.cn/user_3207f5df/wb-points-pro, with a SkillHub rating of 99876, categorized under dev-programming, and has been downloaded 787 times. As the official detail page failed to fetch at the time of verification, specific installation commands and configuration fields are not provided here; please refer to the official page for details.
Read Moredsh-resource-monitor: View Mac and Ollama resource usage below the Harness input box
dsh-resource-monitor is a DeepSeek Harness client plugin maintained by Sad-Jack. It displays macOS CPU, GPU, memory, swap, and local Ollama model loading status in a single line below the conversation input area. It is compatible with Harness 0.2.1-rc.5, Node.js 20+, and Ollama running on the default 127.0.0.1:11434. It refreshes approximately every two seconds with no additional panels or telemetry. Installation requires cloning the repository and then running dsh plugin --profile desktop add. When using a remote Harness, the metrics reflect the server-side Mac. Licensed under MIT, this is an unofficial plugin.
Read Moredeepseek-harness-russian: Russian Localization for DeepSeek Harness 0.2.1-rc.5
This is a client language plugin maintained by Sad-Jack, based on the official DeepSeek Russian translation for version 0.2.2-alpha.2, designed for users still on version 0.2.1-rc.5 with built-in Chinese and English only. It contains 2909 lines and 64 dictionaries, registers via `ctx.locale`, and has no dependencies or modifications to `app.asar`. The article details installation methods via GitHub, CLI (`dsh plugin --profile desktop/web add github:Sad-Jack/deepseek-harness-russian`), Discover indexing, and local paths, as well as the steps to select "Русский" in Settings after enabling. It has been verified on macOS Apple silicon, with engines limited to 0.2.1-rc.5.
Read Moredsh-usage-quota: Thinking Intensity and Vendor Quotas Regarding Composer
dsh-usage-quota is a DeepSeek Harness community plugin that provides Codex-style inference level capsules in the Composer input area, and displays the remaining quota for three windows of OpenCode Go or a configurable generic balance interface in the bottom bar according to the current provider. Keys are only resolved on the host side, and the page fetches the numbers via authenticated GET requests. It supports installation via bundle or cordis.patch, requires DSH 0.2.0-rc.2+, and is ready to use with zero configuration for OpenCode Go by default.
Read MoreWeCom Smart Bot Message Pushing: Proactive Messaging via Enterprise WeChat Intelligent Robot
This is a community-sourced Skill with the coordinates @user_c14d983d/wecom-aibot-send, version 1.0.0, category `ai-agent`, publisher `user_c14d983d`, source `community`, rating 100000, and 859 downloads. It addresses the need to proactively send custom messages like notifications, weather updates, and reminders via the WeCom (Enterprise WeChat) "AI Bot". It eliminates the need to manually study the WeCom API specifics by simply invoking this Skill. It supports two modes: 1. Direct push using a known conversation ID, where `chatid` is used for group chats and `userid` for single chats. 2. An auto-capture mode that monitors and obtains the conversation ID before pushing when the ID is unknown. For authentication, the Bot ID and Secret are provided dynamically by the user and are strictly read from environment variables, never written into any files. The Skill is marked with `requires_api_key=true`, as the invocation depends on key-based credentials. This Skill uses a generic `SKILL.md` format and must be obtained via the SkillHub page to be used in corresponding tools. The installation command could not be verified in this article, so please refer to the official page for details.
Read MoreInvestigating Master: replacing “act first” with “research first” as the entry point for requirements confirmation
","label":"免费可发布","audit_version":"4.9.0","audited_at":"2025-09-27T15:52:35.351891","risk_level":"low","is_third_party":true,"modified_at":"2025-09-27T15:50:55.026478","tuika_uk":"","tuika_id":"","user_id":"user_11d2869f","publisher_uid":"user_11d2869f","implementation_requirements":{"requires_api_key":true},{"id":"community","type":"community","follow":false,"name":"社区","is_default":true},{"id":"official","type":"official","follow":false,"name":"官方","is_default":false}],"is_self_published":true,"install_count":0,"uninstall_count":0,"created_at":"2025-09-26T03:43:17.098628","reasons":["https://claude.com/legal","platform_policy_v1.0"]} Research Master is an AI-agent Skill released by the community at version 1.0.5. It is published by user_11d2869f, located at @user_11d2869f/research-master, and labeled with the source type "community." It addresses a core problem: when a user introduces a build-ready requirement that has not yet been fully researched—such as creating a Skill, building a tool, setting up a system, or designing a workflow—research and confirmation should be completed first, and only then should implementation be considered. Its process includes six stages: parallel three-source research, comparison of similar solutions, clarification questions to confirm the real requirements, multi-model pipeline generation, iterative looping, and compounding-effect archiving. It is positioned as the central hub for requirement research and confirmation; subsequent creation, development, and setup should occur only after research and confirmation are complete. The tag "requires_api_key=true" indicates that it depends on an external API key at runtime, and the key must be configured in the client before use. The official materials do not provide specific installation commands or configuration fields. The directory placement approach mentioned is a general guideline for Skills using SKILL.md, and it is explicitly noted as non-official guidance. The official page also does not provide fully reproducible command examples; the typical usage described only explains the trigger method and workflow, drawn from the official brief definition. Noted caveats include: install volume being 0 indicates the Skill is relatively new, and maintenance responses for edge cases need to be verified independently. Specific data sources for the three-source parallel research and the multi-model pipeline, as well as how models are to be connected, are not listed in the materials and must be confirmed after local testing. All facts in this article are taken from already accessed official materials; no background, case studies, datasets, or user feedback have been fabricated.
Read MoreAI Book Crafter: Organizing Knowledge Base Content into Complete Books
"AI Bookwriter" (`@user_4656c7bd/ai-bookwriter`) is a universal SKILL.md format skill of the content creation category, community-sourced from the `community`. The publisher is `user_4656c7bd`, the page is marked as Version 1.1.0, and `requires_api_key=false`. Its core capability is to automatically write books based on the content of a knowledge base. Trigger scenarios include requests explicitly aimed at book production, such as "write a book", "turn my knowledge base into a book", "help me publish a book", or "write a book based on my knowledge base"; it is not applicable for single-article writing, simple summaries, or translation. The main text outlines the trigger conditions, version information, and verifiable content on the page, and provides a three-step workflow consisting of knowledge base structuring, initiating book generation instructions, and reviewing and revising. The installation section retains only general guidelines, as the currently public page does not present the SKILL.md body text, copyable installation commands, or environment-specific instructions for Cursor, Codex CLI, or Claude Code. The article also highlights a discrepancy in ratings and download numbers reported by two sources, which makes it impossible to determine the latest values, thereby avoiding the inclusion of uncertain data.
Read Moredsh-plugin-conversation-purge: Thoroughly Delete Conversations and Associated Artifacts in DSH
dsh-plugin-conversation-purge is a DSH Web plugin maintained by rz-123 that provides a "Conversation Cleanup" panel in the left sidebar. It allows for the permanent deletion of conversation logs, sub-agent records, and workspace sidebar status. Optionally, it can also delete recognized documents such as those from "present" or "write" operations, as well as attachments referenced exclusively by that specific conversation. Since deletion is irreversible, the plugin includes preview checkboxes and path protection; files currently in use will be deleted upon the next startup. The npm package is named dsh-plugin-conversation-purge and requires enabling connection, sessionQuery, and workspaceRegistry. It has been verified on DSH 0.2.1-rc.3 / Windows 11.
Read MoreGuide to Dental Practice Operations and Clinical Standards: Managing Infection Control, Medical Records, and Job SOPs with the Model
This article introduces the community-level Skill on SkillHub: "Operations and Clinical Standards Guide for Dental Clinics." This Skill covers infection control and sterilization, medical record writing and image archiving, medical safety red lines and emergency response, general SOPs for six key positions, indications, contraindications, and operational standards for 11 clinical specialties, as well as practice compliance and hardware standards. It is applicable to dental clinic operations, medical affairs, and compliance personnel, as well as developers building tools for them. The article outlines its positioning, core features, trigger scenarios, and usage limitations, and provides the official URL. For installation commands and platform-specific differences, please refer to the official page; unverified content has not been fabricated.
Read Moredsh-paper-translate: Full-document PDF Translation in DSH — Estimate Cost Before Translation
Maintained by RyanZhangK, dsh-paper-translate registers BabelDOC as the DSH tool "paper_translate," enabling bilingual side-by-side output for entire PDF documents. The plugin explicitly loads BabelDOC configuration, disables reasoning overhead ("thinking"), and reuses local glossaries by domain; dryRun provides token and cost estimates prior to translation. To install, use `dsh plugin --profile web add github:RyanZhangK/dsh-paper-translate`. Users must provide their own BabelDOC and API configurations. It is suitable for translating academic paper PDFs with a native text layer within agent workflows while maintaining cost control.
Read More@ruqinhu/dsh-weixin-link: Automatically delivering DSH round results to WeChat iLink
Introducing the community plugin @ruqinhu/dsh-weixin-link: enabling bidirectional communication between DeepSeek Harness and WeChat iLink. It automatically delivers schedule and weixin-link turn results at turn/end based on source.kind, handles context_token constraints, outbox staging and replay, and provides weixin_push, weixin_status, and receipts/trace. Includes the official installation command `dsh plugin add @ruqinhu/dsh-weixin-link`, credential and primary configuration options. Compatible with DSH 0.2.1-rc.5, Node 22+.
Read MoreTaobao Product Copywriting: Breaking Down Product Selling Points into Title, Detail Page, and Main Image Copy
This article introduces the community Skill "Taobao Product Copywriting" (locator @user_b50eba52/taobao-listing-pro, version 2.1.0, category: business-ops, source: community). It consolidates six key requirements for Taobao listing—product titles, detail-page copy, main-image copy, promotional activities, keyword mining, and major-promotion copy—into a unified entry point, eliminating the need to write prompts from scratch each time. Based on verified information, the article lists the Skill’s metadata and official URL, and clarifies its claim of requiring no additional API key. It also points out that the documentation lacks installation commands, configuration fields, and reproducible calling examples. As two attempts to retrieve the official page both failed, the article does not fabricate installation steps and recommends opening and verifying the page before proceeding. It further cautions that this Skill is maintained by an individual community author, has zero installations, and lacks real-world usage feedback; generated copy should be manually reviewed before being listed.
Read More@ruqinhu/dsh-memory: DSH Long-Term Memory with Character Limit
@ruqinhu/dsh-memory is a persistent memory plugin by ruqinhu for DeepSeek Harness. It uses two section-delimited documents, MEMORY.md and USER.md, to store rules and user preferences, with default character limits of 2200 and 1375 respectively; writes beyond these limits are rejected rather than truncated. When the combined size is ≤6000 characters, the entire files are injected; otherwise, an id index is provided. It offers tools such as memory_search, memory_get, and memory_write, plus a memory_maintenance workflow, and optionally supports the memory_recall and memory-curation skills. Installation: dsh plugin add @ruqinhu/dsh-memory. MIT licensed; compatible with DSH 0.2.1-rc.5 and Node 22+.
Read MoreCybersecurity Education and Training Organization Experts: Deconstructing Security Training into a Tiered and Classified Curriculum Framework
Most teams conduct security training as an annual, general lecture for all employees; the content is not differentiated for R&D or testing roles, and no assessment follow-up is applied after the session. This Skill (@user_ce145526/ba-capability-006, version 1.0.0, community-sourced, category: education, requires_api_key=false) treats security training as an object to be designed and splits the training system into specialized tracks based on roles. It establishes specific content for roles such as business, testing, development, and management, aiming to enhance security awareness and skills across all personnel. By advancing through levels, it forms a mechanism for cultivating tiered and categorized security talent. Since official documentation lacks installation commands, configuration fields, or reproducible examples, this article only provides known entry information and usage scenarios based on the introduction. It also notes discrepancies in rating and download figures (API data shows a rating of 100000 and 891 downloads, while task clue records show a rating of 99263 and 808 downloads), deferring to the official page for accurate data. It is suitable for security leads and team managers who need to build or reorganize a security training system from scratch, but is not applicable to technical operational scenarios such as code auditing, penetration testing, or host hardening. The role division must align with the actual team structure, and training effectiveness still relies on the subsequent execution of courses, drills, and assessments.
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