obsidian-vault-intelligence

obsidian-vault-intelligence is a skill for Claude Code from jlaska/obsidian-claude-plugins. It costs 128 tokens per session (2,584 once invoked), scanned A, original, MIT.

A skill for searching and checking an Obsidian vault, a folder of linked Markdown notes, using Obsidian's command-line interface and Dataview. It can fall back to reading files directly when the command-line tool is unavailable.

In plain words
What is it for?
Use it to search notes, find connections, check orphaned notes and broken links, inspect tags, and run Dataview queries.
Why use it?
It finds related notes through tags, links, aliases, and properties instead of only matching exact words, and can report vault problems.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the obsidian-productivity plugin — 10 skills shipped together

Good fit Use it to search notes, find connections, check orphaned notes and broken links, inspect tags, and run Dataview queries.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jlaska/obsidian-claude-plugins/obsidian-vault-intelligence
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add jlaska/obsidian-claude-plugins --skill obsidian-vault-intelligence
Clone the repo
git clone --depth 1 https://github.com/jlaska/obsidian-claude-plugins

Made for: Claude Code.

Or install obsidian-productivity, the plugin that ships this one along with the rest of its 10 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for obsidian-vault-intelligence

README.md
[![agentmods](https://agentmods.dev/badge/skills/jlaska/obsidian-claude-plugins/obsidian-vault-intelligence/github.svg)](https://agentmods.dev/skills/jlaska/obsidian-claude-plugins/obsidian-vault-intelligence)
Your own site
<a href="https://agentmods.dev/skills/jlaska/obsidian-claude-plugins/obsidian-vault-intelligence"><img src="https://agentmods.dev/badge/skills/jlaska/obsidian-claude-plugins/obsidian-vault-intelligence/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for obsidian-vault-intelligence

Your own site · 80×15
<a href="https://agentmods.dev/skills/jlaska/obsidian-claude-plugins/obsidian-vault-intelligence"><img src="https://agentmods.dev/badge/skills/jlaska/obsidian-claude-plugins/obsidian-vault-intelligence.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 128 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,584 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00128 $0.02584
Opus 5 $0.00064 $0.01292
Sonnet 5 $0.00026 $0.00517
Haiku 4.5 $0.00013 $0.00258

Measured 9d ago against content hash be77bc795747, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

obsidian-vault-intelligence scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/obsidian-vault-intelligence/SKILL.md · 284 lines

How it starts

The opening of the file, as written. The whole thing — 284 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Obsidian Vault Intelligence

Provides smart vault search, health reporting, and Dataview query access — all powered by the obsidian CLI (Obsidian 1.12+). Falls back to direct file access when the CLI is unavailable.

Prerequisite: The obsidian-cli skill must be loaded. Verify with:

obsidian version 2>/dev/null && echo "CLI available" || echo "CLI unavailable — will use fallbacks"

Use Obsidian's indexed search engine instead of grep to find thematically related notes. The index understands tags, aliases, backlinks, and property values — not just literal text.

When to use

  • Finding vault connections for a new note (youtube-summarizer, book notes, etc.)
  • Locating notes about a person, project, or concept
  • Searching by tag, frontmatter property, or link relationship

How to search

# Basic full-text search
obsidian search query="<keywords>" format=json limit=20 2>/dev/null

# Tag-based search
obsidian search query="tag:#negotiation OR tag:#communication" format=json 2>/dev/null

# Search within a folder
obsidian search query="<keywords>" path="BOOKS/" format=json 2>/dev/null

# Find notes that link to a specific note
obsidian backlinks file="BOOKS/Never Split the Difference.md" format=json 2>/dev/null

# Parse JSON results for paths
obsidian search query="<keywords>" format=json 2>/dev/null \
  | python3 -c "import sys,json; data=json.load(sys.stdin); [print(r.get('path','')) for r in data]"

Query syntax:

  • term1 term2 — both terms
  • "exact phrase" — phrase match
  • tag:#tagname — by tag
  • term1 OR term2 — either term
  • -term — exclude
  • property:value — frontmatter property value
  • path:folder/ — restrict to path prefix

Fallback when CLI unavailable

# Search BOOKS/ and PROJECTS/ with thematic keywords
grep -rl "<keyword>" "<vault_root>/BOOKS" "<vault_root>/PROJECTS" \
  --include="*.md" 2>/dev/null | head -20

# Search full vault
grep -rl "<keyword>" "<vault_root>" \
  --include="*.md" \
  --exclude-dir=SCRIPTS --exclude-dir=DATAVIEW_SCRIPTS \
  2>/dev/null | head -20

Read the full file on GitHub · 284 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 284 lines · 128 tokens per session scan A be77bc795747

Subscribe to this mod's changes

obsidian-vault-intelligence is a skill published in the GitHub repository jlaska/obsidian-claude-plugins (2 stars, last pushed 7d ago), licensed MIT. It adds 128 tokens to every session and 2,584 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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