dsh-open-obsidian：会话在 Obsidian 库里工作时自动打开库并协调写入
dsh-open-obsidian 是 DeepSeek Harness 的 Windows 客户端插件（非 Obsidian 插件）。会话工作目录在已启用库内时，首条消息自动打开 Obsidian，便于坚果云等同步插件运行；并对同一库做写锁，硬拦并发写入避免同步拼坏文件。安装：dsh plugin --profile desktop add github:NOOBnoob163/dsh-open-obsidian，冷启动后在「Obsidian 助手」勾选库。仅 win32，依赖 DSH 内部接口与 tools/pre-execute。
Read MoreLLM-WIKI：在 Obsidian vault 里用 Agent 维护持久化 Wiki
LLM-WIKI（llm-wiki-clean）是 SkillHub 上的 WorkBuddy/Agent Skill，由夜秣发布，基于 LLM Wiki 模式在 Obsidian vault 内维护 raw 源层与 wiki 知识层。支持首次初始化、ingest（消化素材）、query（带引用查询）、lint（健康检查），可选腾讯文档同步。安装可通过 SkillHub 安装说明加载 @indiv-yemo/llm-wiki-clean，或把 SKILL.md 放入 ~/.workbuddy/skills/。适合希望笔记结构化、可图谱浏览、持续累积而非单次检索的用户。
Read Moreclaw-memo-obsidian：把 Agent 核心 Markdown 同步进 Obsidian
claw-memo-obsidian（@user_5bab6d4d/claw-memo-obsidian）是 SkillHub 社区 knowledge-management 类 Skill，无需 API Key。它将 OpenClaw、Claude Code、Codex 等工作区中的 AGENTS.md、MEMORY.md 等核心文件写入 Obsidian Vault，按日期分文件夹并添加 Frontmatter，支持多智能体子目录与自然语言或 claw-memo-obsidian.py 命令行同步。文章说明 SkillHub 安装命令、常见 skills 路径、环境变量与 .memo-sync-config.json 配置，以及清理模式二次确认等注意事项。
Read Moredsh-calendar：在 DSH 右侧栏内联 Obsidian 日记与待办
dsh-calendar 是 AloneFu 维护的 DSH web 插件，在右侧栏展示 Obsidian 日记文件夹的月历、Day Planner 风格时间轴、Tasks 待办与日记正文，勾选与编辑会写回 Markdown。不依赖 Obsidian 常驻运行，支持插件市场安装与 config.json 配置，写回带路径校验与乐观并发。适合在 DSH 会话中同屏管理 Obsidian 笔记的开发者。
Read Moreagent+obsidian=长期记忆：用 Obsidian 给 Agent 做跨会话记忆
介绍 SkillHub 社区 Skill「agent+obsidian=长期记忆」（@user_7da98a98/obsidian-memory，v1.0.2）。从 SOUL.md 的 OBSIDIAN_MEMORY_PATH 定位 Obsidian 记忆库，任务初加载 profile、rules 与近期日志，在「任务完成」或 /记一下 等触发词下写回 Markdown。包内 v2.0 说明含命中打点、/审计记忆、重复踩坑升级 rules.md 等 Anti-Rot 治理。含 skillhub 安装命令、记忆目录结构与 SOUL 配置要点，适合需要可编辑长期记忆的写作与开发场景。
Read More用 LLM 构建持续积累的知识库：把 Markdown Wiki 交给 Agent 维护
SkillHub 社区技能 @user_dc3a9e2d/llm-obsidian-wiki（v1.0.2）用于初始化并持续维护 Markdown/Obsidian 知识 Wiki：从 source/ 导入 wiki/，维护来源、实体、概念、综合、对比与问答归档等页面，更新 index.md 与 log.md，基于 Wiki 作答并归档高价值结论，并审计断链、孤儿页、重复概念与结构问题。本文说明定位、能力与 skillhub 安装到 Cursor 等目录的步骤。
Read MoreAI-News-Collector：零 API Key 的 AI 科技日报与周趋势采集 Skill
AI-News-Collector 是 SkillHub 社区 Skill（v1.13.14），纯规则引擎、无需 API Key，从 36氪、量子位、InfoQ、钛媒体抓取 RSS，经去重、领域过滤、四维评分、摘要、主题分类、投资信号等步骤输出含 8 板块的日报与 7 天周趋势报告，支持同步 Obsidian。本文介绍其定位、流水线、SkillHub CLI 安装路径与典型触发方式。
Read Moredsh-obsidian-board：把本地 Obsidian 变成 DSH 的本地知识库对话面板
`dsh-obsidian-board` 是 DeepSeek Harness 的本地检索插件，将 Obsidian vault 变成 RAG 面板。它采用双半架构：宿主端负责 BM25 索引与检索，浏览器端负责 UI 交互。具备极快的增量索引速度、点击引用跳转原文、可随时停止生成、以及完全的本地安全隔离（历史存储在浏览器本地，优先检索自有笔记）等特点。安装后配置 vault 路径，即可实现针对笔记内容的问答与总结。
Read MoreObsidian资料整理：在 Agent 里维护 vault 核心笔记与图谱索引
Obsidian资料整理（@user_55161a2d/obsidian-core-notes，v1.0.2）是 SkillHub 社区知识管理 Skill，用于在 Obsidian vault 或文档/代码混放 workspace 中同步 .core.md 侧记、专题综合.core.md、资料索引.md、核心文件索引.md 与图谱链接。附带 obsidian_core_notes.py 的 scan、refresh、topic-candidates、validate、clean-generated 命令。安装需 skillhub install 并指定 Agent 的 skills 目录（如 Cursor 的 ~/.cursor/skills/），无需 API Key。注意 refresh 只做轻量维护，V3 式专题综合需单独策展。
Read More论文 Skill：单篇论文精读与 Obsidian 结构化笔记
SkillHub 社区 Skill「论文」（@user_2fd890c9/deeppapernote，v2.0.2）面向 knowledge-management：深度阅读单篇论文并生成 Obsidian 风格结构化 Markdown 笔记，标签 requires_api_key=false。本文依据官方页面说明安装路径（skillhub CLI、--dir 指向各 Agent skills 目录）与典型使用流程，并标明能力边界与社区维护注意事项。
Read More拆书：书名与作者驱动的拆书笔记写入 Obsidian
拆书是 SkillHub 社区知识管理类 Skill（@user_fe8721be/jmy005，v1.0.1）。用户提供书名与作者后，Agent 通过 web_fetch 检索书评、简介与目录，确认书籍信息后按内容骨架、核心观点、金句与实践路径等模板拆解，并用 obsidian create 写入 vault 的「拆书」目录。无需 API Key。本文说明定位、流程、skillhub 安装路径与典型用法及 Obsidian CLI、检索质量等注意点。
Read More知乎抓取.skill：收藏夹到正文 Markdown 的 Agent 抓取流程
知乎抓取.skill（@user_9610c87f/zhihu-fetch-skill，v2.2.0）是 SkillHub 社区数据分析类 Skill，无需 API Key。它通过 python scripts/zhihu.py 统一处理收藏夹、专栏、个人页与问题页链接，API 与 Playwright 多级降级拉取 Markdown 正文与本地图片，Cookie 持久化保活，batch 断点续传，并可写入 Obsidian 的知乎收藏与知乎笔记目录。文章说明 SkillHub 安装命令、依赖准备及 route、collection、batch、obsidian 等典型流程与使用注意。
Read MoreLLM-Wiki 中文版：让 LLM 持续维护 Obsidian 知识 Wiki
LLM-Wiki 中文版（@user_dc3a9e2d/llm-obsidian-skill-cn，v1.0.1）是 SkillHub 上的知识管理 Skill，用于构建与体检由 LLM 持续维护的 Markdown/Obsidian Wiki：从 source/ 导入 wiki/，维护资料页、概念页、index.md 与 log.md，支持基于 Wiki 问答归档，并检查断链与重复概念等。本文介绍其定位、能力与 SkillHub CLI 安装方式。
Read Moreobsidian Skill：把 Obsidian 笔记库当作磁盘文件夹交给 Agent 管理
介绍 SkillHub 上的 @zcwl/obsidian（智创未来，v1.0.0，knowledge-management）。技能核心理念是 Obsidian 笔记库即本机文件夹、可直接做文件级管理，且无需 API Key。文章说明其定位、可核实能力、按 skillhub.md 安装到 Cursor/Claude Code 等 skills 目录的步骤，以及路径备份与客户端并行的注意点；典型操作以本地 SKILL.md 为准。
Read Moredsh-plugin-obsidian-push: Push DSH Session Transcripts to Obsidian
`dsh-plugin-obsidian-push` is a plugin that pushes DeepSeek Harness (DSH) archived session transcripts to a local Obsidian vault. It supports rendering sessions as Markdown files with YAML frontmatter, provides idempotent deduplication based on content hashing, and offers commands such as `/obsidian-push` and `/archive`. To install it, configure `vaultDir`, update `cordis.patch.yml`, and ensure that `pnpm` is available. The plugin depends on `dsh-plugin-transcript`.
Read Moredsh-obsidian
`dsh-obsidian` is a plugin that integrates an Obsidian vault into the right sidebar of DeepSeek Harness (DSH). It supports browsing directories, full-vault search, reading notes with Obsidian-style formatting, editing content, and navigating via WikiLinks. The plugin requires no build step or network requests, depends on DSH version ^0.2.0-rc.2, and allows users to directly manage and edit local notes within DSH.
Read MoreDeepSeek Harness Plugin: dsh-wsl-obsidian
`dsh-wsl-obsidian` is a plugin for DeepSeek Harness, intended to solve cross-system call issues when agents in a WSL environment access a local Windows Obsidian vault. It provides core functions such as file listing, search, read/write, and opening. Installation requires manual addition; the environment requires that the vault be located on a Windows NTFS partition (e.g., C or D drive) and that its path be specified in the configuration. It is not included in the installation script by default, so developers must configure it manually to achieve automated operations.
Read Moreviya-memory: A Local Long-Term Memory Plugin for DeepSeek Harness
viya-memory is a local storage plugin for DeepSeek Harness (DSH), designed to provide long-term memory for agents through Markdown files. It is a zero-dependency, single-file plugin that supports materializing memories into cards and leverages Obsidian's graph view, bidirectional links, and search features. After installation, you need to configure the path to the Obsidian vault. The plugin provides seven core tools, including saving, searching, updating, linking, deleting, and statistics. It features atomic writes, overwrite prevention, and sensitive-content scanning, making it suitable for developers who require data privacy and local control.
Read Moredsh-study-buddy: A Study Buddy for DeepSeek Harness
`dsh-study-buddy` is a plugin for DeepSeek Harness (DSH) designed to address the problem of forgetting material right after reading it. It uses a four-step closed loop of "reading, explanation, Q&A, and archiving" to turn scattered materials into structured Markdown notes. Core features include hierarchical directory navigation, template-driven note writing based on user-defined templates, a safety confirmation mechanism before writing, and a plain-text format compatible with Git version control. Installation requires Node.js 22 and other environment dependencies. After configuring the vault path and note templates, users can use conversational commands to request step-by-step explanations, in-depth Q&A, and archival organization. It is suitable for converting external documents into an internal knowledge base.
Read Moredsh-obsidian-mem: Transforming Project Memory into an Obsidian Vault
dsh-obsidian-mem is a memory host plugin for DeepSeek Harness, designed to persistently store project documentation and long-term memory in pure Markdown format within an Obsidian vault. It binds repositories using a stable projectId and supports building search indexes, automatic conversation distillation, and using six mem_* tools. The plugin requires DSH >=0.1.5-rc.2 and Node.js >=22.22.2, and the process must be restarted after installation. During use, developers can manage the project list via commands, with data stored in a dedicated local directory. The plugin resolves DSH memory persistence issues and is well suited for scenarios requiring seamless collaboration.
Read Moredsh-obsidian-inbox: Deterministic Knowledge Archiving from DeepSeek Harness to Obsidian
The DeepSeek Harness plugin `dsh-obsidian-inbox` is designed to organize high-value information from conversations into an Obsidian knowledge base. Its core features include prioritizing retrieval over archiving, merging over creating new entries, strict validation (formula and link validity), and distilling only long-term value. The plugin is installed via npm, requires configuration of the Obsidian Vault path and primary directory categories, and provides the `obsidian_validate_vault` tool for knowledge base health checks.
Read Moredsh-codevault: Source Code Reading Archive
dsh-codevault is a plugin for DeepSeek Harness designed to address the issue of forgetting insights during code reading. It supports organizing notes by repository and file, stores them in Markdown + JSONL format, and provides version history replay, Obsidian integration, and a `code-reading` skill framework. After installation, users can leverage 11 tools for quick note-taking, deep reading, appending rereads, and revisits. The plugin runs entirely locally without network access, using event-stream storage and replay to turn code understanding into traceable knowledge assets.
Read Moredsh-intelhub: The First zvec-Native Intelligence Hub
The DSH plugin `dsh-intelhub` is the first localized intelligence-hub plugin built on zvec, designed to transform dynamic information into retrievable knowledge. It uses the RRF algorithm to implement hybrid retrieval and supports collecting local files, web pages, and text. All data is processed locally, with zero API calls and support for exporting to Obsidian. The plugin offers scheduled tasks and metadata filtering, making it suitable for privacy-focused DeepSeek developers who prefer local workflows. However, users should note the model’s granularity in distinguishing specific concepts and potential version compatibility issues.
Read Moredsh-plugin-vault-memory: Integrating an Obsidian Vault with DeepSeek Harness
`dsh-plugin-vault-memory` is an Obsidian plugin for DeepSeek Harness (DSH) designed to transform a local knowledge base into an Agent's long-term memory and workbench. It features four core capabilities: (1) support for natural-language full-text search and semantic search, (2) automatic injection of vault status and active projects, (3) automatic saving of conversation outcomes with Frontmatter generation, and (4) vault inspection to identify broken links and orphaned notes. All write operations require manual user approval in a review interface to ensure safety. After installation, specify the vault path in the configuration and restart DSH to directly invoke search, association analysis, note saving, and inspection capabilities through natural language, enabling a secure, localized deep integration between the knowledge base and AI.
Read Moredsh-obsidian: A Single Obsidian Plugin for DeepSeek Harness
`dsh-obsidian` is a single-plugin DeepSeek Harness that turns Obsidian into a “self-organizing AI second brain.” It integrates the original upstream plugins, resolves API breakage and unfriendly splitting issues, and provides unified version management. The plugin offers multiple features through `ctx.tools` and `ctx.skills`, including Wiki retrieval, writing, health checks, scaffolding, and LLM inference. Installation requires Node.js 22.19+ and a DSH environment, supports configuring absolute paths, and is licensed under the MIT License.
Read MoreDeepSeek Harness Screenshot Plugin: Convert Screenshots into Obsidian Notes
The “Screenshot to Vault” plugin for DeepSeek Harness (DSH) aims to provide automated management of screenshots and clipboard content. It uses a system-level overlay window on Windows to monitor screenshots or copied images, supporting instant OCR, key-point highlighting, and saving to an Obsidian vault. The plugin includes deduplication, self-healing, and nightly AI batch organization, creating a closed loop from screenshots to structured notes. After installing DSH, users can enable the plugin, configure the vault path in the Web interface, and then use the Win+Shift+S shortcut to call the host LLM for OCR with zero configuration.
Read Moreobsidian-dsh-acp: Bridging DeepSeek Harness to Obsidian via the ACP Protocol
`obsidian-dsh-acp` is an ACP server plugin that connects DeepSeek Harness (DSH) with Obsidian. It enables users to operate DSH within Obsidian’s native interface, with support for session management, model switching, tool-call frame display, and importing external sessions. The plugin depends on Node.js and a DSH environment. It can be installed by adding it to Obsidian’s configuration or DSH’s configuration file, and it supports session import and management via the command line or the built-in Web panel.
Read Moredsh-cardian: A Local Obsidian Knowledge Hub Plugin
The core philosophy of the DeepSeek Harness (DSH) plugin `dsh-cardian` is to ground an agent’s knowledge-hub capabilities in a local Obsidian vault. It comprises three modules—RepoWiki, knowledge cards, and cross-session memory—supporting atomic knowledge management, SM-2 flashcard review, and activity-based automatic refresh. The plugin exposes 36 tools and supports CLI and standalone operation modes, aiming to enable the persistence and automatic updating of code repositories, knowledge cards, and session memory through structured documentation and a tool matrix.
Read Moredsh-math-memory: A DeepSeek Harness Memory Assistant for Mathematical Notes
dsh-math-memory is a DeepSeek Harness assistant for mathematical note-taking, residing in Obsidian’s right sidebar. It addresses the limitation of general-purpose AI in maintaining context through a five-layer hierarchical memory system—profiles, topics, records, raw evidence, and inbox—and a unified retrieval protocol. The plugin provides cross-session context distillation, symbol-system maintenance, automated auditing, and feedback loops, enabling users to directly correct memory cards within AI responses. The current 0.7.x version is a prototype, while the upcoming 1.0 release will include full instructional and invocation features.
Read MoreDeepSeek Harness Plugin: dsh-krouter (Agent Second Brain and Self-Evolving Memory System)
DSH-KRouter is a memory system designed for coding Agents, aiming to address continuity issues in multi-turn interactions. The plugin acts as an Agent's "knowledge OS," using a daily self-evolution mechanism to refine reasoning processes into an Obsidian vault. It employs a "locked" retrieval strategy instead of vector databases, ensuring precision through noun mapping and SHA-256 verification, thereby enabling persistent and reproducible memory. Installation requires configuring a Python environment and an API Key; it has low resource usage and is suitable for development scenarios that require long-term memory.
Read MoreWikiBridge: A DSH × Obsidian Knowledge Base Bridge Plugin
WikiBridge is a bridge plugin maintained by xiaomao49, designed to connect DeepSeek Harness (DSH) with Obsidian knowledge bases. It combines constraint tools, automatic dictionary retrieval, and zero-patch configuration to facilitate collaboration between the two systems. As a network tool, users should ensure proper configuration of DSH's network permissions. Since no license is disclosed, it is recommended to review the source code before enabling the plugin. Users can install it via the official catalog page and visit the GitHub repository for source code details and updates.
Read Moredsh-obsidian-channel: Securely Read and Write a Local Obsidian Vault via DeepSeek Harness
The `dsh-obsidian-channel` plugin is designed to mitigate the risk of data loss caused by DeepSeek Harness (DSH) agents directly manipulating a local knowledge base. It provides the DSH Agent with a controlled channel, enforcing user approval for all read and write operations, and supports viewing change history and one-click rollback. Its core features include secure approval, change tracking, Vault homepage management, and read/write isolation. Users must first install the dsh web environment and bind the Obsidian Vault path, then start a session via the homepage, confirm the content in the editor before sending, and the Agent requests approval again before executing any write. Although the plugin can effectively prevent accidental deletion, users should remain alert to the risk of Bash commands bypassing the Journal mechanism. The plugin does not currently support templates.
Read Moresatan9394/dsh-obsidian-vault: Obsidian Knowledge Base Automation Tool
The DeepSeek Harness (DSH) plugin `satan9394/dsh-obsidian-vault` enables agents to directly operate Obsidian knowledge bases. It integrates a suite of tools that support generating Markdown links, managing Bases views, reading and writing JSON Canvas, integrating the Obsidian CLI, and clean web content extraction. Developers can interact with the Vault via the command line. When using the plugin, users should be mindful of permission risks and are advised to review the source code for specific installation and usage instructions.
Read Moredsh-plugin-wiki-tools
`dsh-plugin-wiki-tools` is a core plugin for DeepSeek Harness (DSH), following the “everything is a plugin” philosophy and aiming to offload mechanical file operations so that the model can focus on content synthesis. The plugin provides `wiki_query` (with full-text search support), `wiki_write` (automatic routing, deduplication, and index maintenance), and `wiki_lint` (health checks). It requires a Node.js environment, supports cross-project references and concurrency control, and can be used alongside a Web UI or skill suites to help users manage Obsidian knowledge bases efficiently.
Read MoreDSh Obsidian Second Brain
`dsh-obsidian-second-brain` is a DeepSeek Harness (DSH)-compatible Obsidian plugin designed to transform a note vault into a self-maintaining, AI-first knowledge base. It provides 46 commands covering the full knowledge management lifecycle, including automatic note updates, contradiction reconciliation, hybrid semantic retrieval, and scheduled maintenance. Core features such as structured AI-first writing rules, typed graphs, and a research toolbox help users efficiently organize and retrieve notes during agent sessions, supporting the continuous accumulation of knowledge.
Read Moredsh-plugin-wiki-skills: Porting the claude-obsidian knowledge base skills suite to DeepSeek Harness
Maintained by Lion-1209 (v0.2.2, MIT), dsh-plugin-wiki-skills ported the prompt-centric vault workflow from claude-obsidian to the DeepSeek Harness plugin, allowing the dsh agent to autonomously maintain a knowledge wiki. It consists of five core skills: `wiki` is responsible for vault setup and scaffolding; `wiki-ingest` ingests materials, extracts entities, and establishes cross-references; `wiki-query` retrieves and answers with citations following the hot cache → index → pages order; `wiki-lint` checks for health issues such as orphans and dead links; and `save` writes down conversation insights.
Read Moredsh-obsidian-export: Export DSH conversations to an Obsidian vault and provide note reading and retrieval tools.
dsh-obsidian-export is a DeepSeek Harness (DSH) plugin designed to consolidate DSH sessions into a local Markdown knowledge base. It does not rely on the Obsidian application itself but treats the vault as a directory for storing Markdown files, providing six core utility tools: exporting sessions, reading notes, full-text search, directory listing, tag aggregation, and reverse link queries. The plugin supports multiple export modes (such as create, skip, update, overwrite, and dry-run), allowing users to flexibly control data writing behavior and avoid accidental overwriting via dry-run previews. Upon installation, you must specify a profile and restart the process to mount the utility layer. This plugin is suitable for users who need to convert AI conversations...
Read MoreDeepSeek Harness Plugin: unified-agent-memory (Shared Obsidian Vault Agent Memory)
unified-agent-memory is a DSH plugin developed by Noelune, designed to address the memory isolation issues of multiple agents such as dsh, Codex, Claude Code, and Hermes. It provides a shared Obsidian Vault memory repository, utilizing a local SQLite FTS5 index for efficient retrieval, and supports developers in directly editing and manually reviewing facts. Core functions include full lifecycle management covering knowledge ingestion, promotion, conflict adjudication, and reversible forgetting (archiving without deletion). The plugin supports basic BM25 retrieval and optional hybrid retrieval (combining semantic vectors and concept graphs), and automatically distills session content through `memory digest`. In terms of security, it features prompt isolation and credential sanitization mechanisms. Installation requires Node...
Read Moredsh-obsidian: Enable dsh to directly read and write local Obsidian vaults
dsh-obsidian is an MIT-licensed plugin for DeepSeek Harness (dsh) designed to enable the dsh agent to directly interact with a local Obsidian vault without relying on an MCP server, OAuth, or REST APIs. It leverages `node:fs` to treat the vault as a Markdown file system, parsing frontmatter and wikilinks, and mounts 12 `obsidian_*` tools. Features include searching, reading, writing, appending, moving, deleting (moving to trash), querying backlinks, tag statistics, and managing frontmatter properties for notes. The plugin supports explicit path configuration via `vaultPath` or automatic detection based on a provided base path.
Read MoreDSH-KRouter: An Obsidian Knowledge OS for Coding Agents
DSH-KRouter (runtime36) is a second brain in Obsidian designed for coding agents: featuring daily closure and archiving, distillation and promotion, short-term naming with dual SHA retrieval locks, and scheduled self-evolution enabled by default. It supports mounting the same vault across four platforms: Cursor, Codex, Claude Code, and DSH. The installation command is `dsh plugin --profile web add github:398894496-arch/runtime36`; it requires Python3, ripgrep (rg), and PyYAML. This tool is suitable for users who are willing to maintain the vault and alias tables with error correction as a priority, but it is not recommended for scenarios relying on vector retrieval or automatic chat injection.
Read Moredsh-client-ui-obsidian-memory: Persistent Memory for DSH Agents Using a Local Markdown Library
dsh-client-ui-obsidian-memory is a memory plugin for DSH maintained by detongz, providing persistent memory for Agents through a local Obsidian or Markdown library (Codex directory). The plugin registers five tools: obsidian_memory_read, list, search, write, and append, and displays the library status and tool descriptions in the sidebar. It requires no external services and can be used after configuring the vaultPath. This article covers the installation command, directory preparation, cordis.patch.yml configuration, and typical read/write workflows, along with notes on permissions and version dependencies.
Read Moredeep-read-summarize: Transforming Books, Papers, Videos, and Web Pages into Concise Obsidian Notes
deep-read-summarize is a DSH workflow plugin (v0.3.3, MIT) maintained by PensiveFei. It accepts books, papers, videos, or web pages as input, processes them through parser chunking, MapReduce parallel deep reading, and JSON Schema validation, and outputs Obsidian notes with YAML frontmatter. It supports npm installation and is triggered by passing JSON through the workflow tool. Configuration errors terminate the process directly, while single chunk failures are flagged without interrupting the overall workflow.
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