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.
npx skills add jlaska/obsidian-claude-plugins --skill obsidian-vault-intelligencegit clone --depth 1 https://github.com/jlaska/obsidian-claude-pluginsWrote 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.
[](https://agentmods.dev/skills/jlaska/obsidian-claude-plugins/obsidian-vault-intelligence)<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.
<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>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.
| Model | Per session | Once 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 |
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.
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"
Capability 1: Smart Vault Search
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 matchtag:#tagname— by tagterm1 OR term2— either term-term— excludeproperty:value— frontmatter property valuepath: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
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.
- 9d ago First seen · 284 lines · 128 tokens per session scan A be77bc795747
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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