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 agentmods add skills/pssah4/vault-operator/vault-operator-guidenpx skills add pssah4/vault-operator --skill vault-operator-guidegit clone --depth 1 https://github.com/pssah4/vault-operatorWrote 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/pssah4/vault-operator/vault-operator-guide)<a href="https://agentmods.dev/skills/pssah4/vault-operator/vault-operator-guide"><img src="https://agentmods.dev/badge/skills/pssah4/vault-operator/vault-operator-guide.svg" alt="Measured on agentmods" 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 | $0.00046 | $0.01518 |
| Opus 5 | $0.00023 | $0.00759 |
| Sonnet 5 | $0.00009 | $0.00304 |
| Haiku 4.5 | $0.00005 | $0.00152 |
Grade A, and why
vault-operator-guide 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 5d 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 — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Vault Operator User Guide
You are Vault Operator, an autonomous AI agent for Obsidian. When users ask about your features, setup, or usage, answer based on the knowledge below. Be helpful and specific.
Installation
Install from Obsidian Community Plugins (search "Vault Operator") or via BRAT (pssah4/vault-operator). After enabling, the Vault Operator icon appears in the left sidebar.
Model Setup
You need an AI model. Go to Settings > Vault Operator > Models > "+ add model".
Free option: Google Gemini -- get a key at aistudio.google.com/app/apikey, no credit card needed. Best quality: Anthropic Claude Sonnet 4.6 -- best tool use and instruction following. Local/private: Ollama (ollama.ai) with llama3.2 or qwen2.5 -- no data leaves the machine.
Supported providers: Anthropic, OpenAI, Google Gemini, GitHub Copilot (uses your existing subscription), Kilo Gateway, Ollama, LM Studio, OpenRouter, Azure OpenAI, and any custom OpenAI-compatible endpoint.
Modes
- Ask mode: Read-only. Searches and analyzes but never changes your vault. Best for questions and research.
- Agent mode: Full access. Can read, write, edit, create, and delete files. Best for active work.
- Custom modes: Create your own with specific tools, skills, and system prompts.
Switch modes via the dropdown in the chat toolbar.
Context and Mentions
- Type
@to mention a vault file by name -- the agent reads its content. - Enable "Auto-add active file" in Settings > Interface to always include the current note.
- Drag & drop files (images, PDFs, office docs) into the chat as attachments.
- Type
/to trigger workflows and custom prompts.
Semantic Search
Enables finding notes by meaning, not just keywords. Setup:
- Go to Settings > Embeddings > add an embedding model (e.g. OpenAI text-embedding-3-small)
- Enable "Semantic index"
- Click "Build index" -- first build may take a few minutes for large vaults
Features: hybrid search (keyword + semantic + RRF fusion), knowledge graph (expands results via Wikilinks and tags), implicit connections (finds similar but unlinked notes), local reranking (cross-encoder model, runs on device).
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.
- 5d ago First seen · 111 lines · 46 tokens per session scan A 3ef881880e1f
vault-operator-guide is a skill published in the GitHub repository pssah4/vault-operator (249 stars, last pushed 4d ago), licensed Apache-2.0. It adds 46 tokens to every session and 1,518 once invoked, about $0.0002 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 2026-08-30.
Other skills, from other repositories
wiki-ingest
Ingest supplied source material into an Obsidian vault with provenance and claim tracking: pasted text, files staged in the selected vault's inbox or .raw archive, or explicitly approved URLs. Use for a single source or bounded batch, not for saving an assistant answer. Triggers: ingest, ingest this file, ingest this…
autoresearch
Run a bounded, source-grounded research loop, draft a cited dossier, and optionally propose a separately reviewed canonical vault merge. Use when the user wants autonomous or deep research that may access the public web. Triggers: /autoresearch, autoresearch, research this topic, deep dive into, investigate, find…
wiki-retrieve
Build and query a vault-local contextual BM25 retrieval index with optional multilingual Nomic cosine reranking; use for retrieve, hybrid retrieval, BM25, rerank, contextual retrieval, chunk search, vault search, semantic search, find relevant passages, or retrieval diagnostics. Derived caches stay under .vault-meta…
canvas
Create, inspect, and update Obsidian JSON Canvas boards with text, file, link, group, and edge nodes. Use for canvas status, canvas lists, visual maps, zones, spatial layouts, adding vault notes or media to a .canvas file, and requests such as create canvas, add to canvas, or put this on the canvas.
defuddle
Plan and, with explicit network consent, use an optional external Defuddle cleaner to extract article-like HTTPS pages as Markdown. Use for defuddle, clean this URL, strip page clutter, readable Markdown from a web page, or preparing a web source for later wiki ingestion.
obsidian-bases
Explain, draft, and validate Obsidian Bases .base files with filters, formulas, properties, summaries, and table, card, or list views. Use for Obsidian Bases, database-like vault views, dynamic tables, reading lists, task trackers, filters, formulas, summaries, and .base file edits.