Native tools for an Obsidian wiki vault: wiki_query, wiki_write, wiki_rename, wiki_scaffold, wiki_archive, and wiki_lint cover BM25 search with link-graph context, bookkeeping writes with sha256 source tracking, vault-wide renames, mode scaffolds, source archiving, and health checks — with cross-process locks and optional git auto-commit.
Install
# from npm (prebuilt)
dsh plugin --profile web add dsh-plugin-wiki-tools
# from GitHub (first run asks for allowBuilds approval — follow the hint, retry)
dsh plugin --profile web add github:Lion-1209/dsh-plugin-wiki-tools
Any plugin you install runs third-party code with your own permissions — it can read your files, use your credentials, and reach the network, and tool approvals don’t sandbox it. GitHub-sourced plugins also run build scripts at install time. Only install sources you trust, and pin a commit (github:owner/repo#sha).
README
This plugin publishes its README in Chinese only.
English | 中文
Native DeepSeek Harness tools for an Obsidian wiki vault: wiki_query, wiki_write, and wiki_lint implement the mechanical core of the wiki skill suite — path routing, frontmatter completion, index/log bookkeeping, source delta tracking, and health checks — so the model spends its turns on synthesis instead of filesystem chores.
Pair with dsh-plugin-wiki-skills for the prompt-level skills (wiki, wiki-ingest, wiki-query, wiki-lint, save).
Attribution
The vault layout and operation contracts follow the LLM Wiki pattern (Andrej Karpathy) as embodied by claude-obsidian (MIT, © 2026 AgriciDaniel). This package is an independent plain-ESM implementation of the mechanical core; it contains no code or skill text from claude-obsidian.
Tools
| Tool | What it does |
|---|---|
wiki_query |
Quick mode returns hot.md + index.md verbatim (the skill's read order); standard mode is full-text search over content pages with snippets and the inbound/outbound link graph |
wiki_write |
Writes one page with complete bookkeeping: type→folder routing, frontmatter completion (keeps created and unknown fields on update), filename-uniqueness guard, master-index entry, log entry; with source_path, records the source hash and skips unchanged sources unless force |
wiki_lint |
Health check: duplicate filenames, dead wikilinks, orphan pages, frontmatter gaps, empty sections, stale index entries, stale hot cache — report only, with suggestions, written to wiki/meta/lint-report-<date>.md |
Install and configure
dsh plugin --profile web add dsh-plugin-wiki-tools
vaultPath is required. The boot fails loud until you set it from your profile's cordis.patch.yml:
- id: wiki-tools
config:
vaultPath: /absolute/path/to/vault
# optional: reroute page types to your vault's folders; index section
# headings follow the mapped folder name (e.g. "## Areas")
typeFolders:
domain: wiki/areas
The vault is the directory holding wiki/ and .raw/ — scaffold it first with the wiki skill's SCAFFOLD operation. maxQueryResults (default 10) is optional. wiki_write refreshes existing index entries in the section's own style (: or —), so em-dash vaults stay consistent.
Design notes
- The vault is host-local user data outside any session workspace (cross-project referencing is the point), so the tools read and write through
node:fsagainst the explicitly configured absolute root — not a dsh filesystem seam. - Writes serialize per target file in-process; filenames are guarded unique vault-wide because wikilinks resolve by bare name.
- Registers on
ctx.toolsviadefineTool; schemas stay stable regardless of vault contents.
Develop
npm install
node --test
License
中文
Obsidian wiki vault 的 DeepSeek Harness 原生工具:wiki_query、wiki_write、wiki_lint 实现知识库技能套件的机械核心(路径路由、frontmatter 补全、索引/日志簿记、来源增量追踪、健康检查),让模型把轮次花在综合而非文件操作上。与 dsh-plugin-wiki-skills 配套使用。
出处
vault 布局与操作契约遵循 LLM Wiki 模式(Karpathy),形态来自 claude-obsidian(AgriciDaniel,MIT)。本包为独立的纯 ESM 实现,不含 claude-obsidian 的代码或技能文本。
安装与配置
dsh plugin --profile web add dsh-plugin-wiki-tools
vaultPath 为必填项:在你的 profile cordis.patch.yml 里覆盖 wiki-tools 行的 config 指向 vault 根目录(含 wiki/ 与 .raw/,先用 wiki 技能的 SCAFFOLD 操作搭建),否则启动时会明确报错并给出示例。
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