Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
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.
[](https://agentmods.dev/skills/bcs1037/awesome-obsidian-skills/vault-search)<a href="https://agentmods.dev/skills/bcs1037/awesome-obsidian-skills/vault-search"><img src="https://agentmods.dev/badge/skills/bcs1037/awesome-obsidian-skills/vault-search/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/bcs1037/awesome-obsidian-skills/vault-search"><img src="https://agentmods.dev/badge/skills/bcs1037/awesome-obsidian-skills/vault-search.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 | $0.00073 | $0.01290 |
| Opus 5 | $0.00036 | $0.00645 |
| Sonnet 5 | $0.00015 | $0.00258 |
| Haiku 4.5 | $0.00007 | $0.00129 |
Grade A, and why
vault-search 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 12d 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 — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Vault Search Skill
Provides semantic search and SQL queries over the Obsidian vault using sqlite-vec for vector storage and ChromaDB's embedding function.
Python Environment
Interpreter: /Users/roasbeef/vault/.claude/venv/bin/python
Required packages:
- sqlite-vec (vector search extension)
- chromadb (embedding function only)
Database Location
Path: /Users/roasbeef/vault/.claude/vault_search/vault.db
Contains:
notestable: frontmatter metadata for all markdown filesvec_chunkstable: vector embeddings for semantic search
Available Scripts
search.py - Semantic Search
Find notes by meaning using vector similarity.
# Basic semantic search
python scripts/search.py --query "options trading strategies" --n-results 5
# Filter by folder
python scripts/search.py --query "earnings analysis" --folder "investing"
# Filter by metadata
python scripts/search.py --query "task automation" --where "status='open'"
# Combined: semantic + metadata
python scripts/search.py --query "portfolio risk" --where "folder LIKE 'investing%' AND status='open'"
Arguments:
--query(required): Search query text--n-results: Number of results (default: 5)--folder: Filter by folder prefix--where: SQL WHERE clause for metadata filtering--db-path: Database path (default: .claude/vault_search/vault.db)
Output:
- Human-readable results with snippets
- JSON block for programmatic use
dataview.py - SQL Queries (Dataview Replacement)
Query frontmatter metadata using SQL.
# Open tasks due this week
python scripts/dataview.py --sql "SELECT path, due, priority FROM notes
WHERE status = 'open'
AND due < date('now', '+7 days')
ORDER BY due"
# Tasks by folder
python scripts/dataview.py --sql "SELECT path, status, priority FROM notes
WHERE folder LIKE 'TaskNotes%'
AND status != 'done'"
# Investing positions
python scripts/dataview.py --sql "SELECT path, ticker, strategy, expiry FROM notes
WHERE folder LIKE 'investing/Portfolio/Positions%'"
# Query by tags (using json_each)
python scripts/dataview.py --sql "SELECT DISTINCT n.path, n.title
FROM notes n, json_each(n.tags) t
WHERE t.value = 'automation'"
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 170 lines · 73 tokens per session scan A 29b59224a9e3
vault-search is a skill published in the GitHub repository BCS1037/awesome-obsidian-skills (8 stars, last pushed 7mo ago), licensed CC0-1.0. It adds 73 tokens to every session and 1,290 once invoked, about $0.0004 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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