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 tuan3w/obsidian-vault-agent --skill synthesizegit clone --depth 1 https://github.com/tuan3w/obsidian-vault-agentWrote 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/tuan3w/obsidian-vault-agent/synthesize)<a href="https://agentmods.dev/skills/tuan3w/obsidian-vault-agent/synthesize"><img src="https://agentmods.dev/badge/skills/tuan3w/obsidian-vault-agent/synthesize/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/tuan3w/obsidian-vault-agent/synthesize"><img src="https://agentmods.dev/badge/skills/tuan3w/obsidian-vault-agent/synthesize.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 | $0.00089 | $0.02449 |
| Opus 5 | $0.00044 | $0.01224 |
| Sonnet 5 | $0.00018 | $0.00490 |
| Haiku 4.5 | $0.00009 | $0.00245 |
Grade A, and why
synthesize 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 11d 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 — 253 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Science grounding: far transfer (Tempel & Frings 2024), generation effect (McCurdy et al. 2020), elaborative interrogation, desirable difficulty (Bjork & Bjork 2020).
<Use_When>
- User wants to understand what the vault collectively says about a concept
- User is writing a Thought note and wants to pressure-test an idea
- User is preparing a talk, essay, or decision and needs cross-domain ammunition
- User says "synthesize X", "what do I know about X", "connect ideas about X"
- User wants to find contradictions or gaps in their own thinking </Use_When>
<Do_Not_Use_When>
- User wants to process a single source note — use /process instead
- User wants spaced repetition review — use /recall instead
- User has a specific paper to analyze — use /paper instead
- Topic is too narrow to generate cross-domain connections (single paper, single event) </Do_Not_Use_When>
Stage 1: PARSE THE TOPIC
Extract the core concept(s) from the user's input. Identify:
- Primary term: the exact word(s) to search (e.g., "attention", "loss aversion")
- Synonyms / adjacent: related terms likely to appear in notes (e.g., "focus", "salience", "bias")
- Domain anchors: which domains likely hold relevant notes (ML, psychology, design, startup...)
If the topic is ambiguous, briefly clarify before searching (one question max).
Stage 2: PARALLEL SEARCH — run ALL of these simultaneously
MCP search (preferred):
search_notes(query="PRIMARY TERM", limit=30)
search_notes(query="SYNONYM 1", limit=15)
search_notes(query="SYNONYM 2", limit=15)
Grep fallback (if MCP unavailable):
Grep(pattern="PRIMARY TERM", path="notes/", glob="*.md", output_mode="files_with_matches")
Grep(pattern="#TAG-NAME", path="notes/", glob="*.md", output_mode="files_with_matches")
Grep(pattern="\[\[.*PRIMARY TERM.*\]\]", path="notes/", glob="*.md", output_mode="files_with_matches")
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.
- 11d ago First seen · 253 lines · 89 tokens per session scan A 0ef8fc747ef5
synthesize is a skill published in the GitHub repository tuan3w/obsidian-vault-agent (39 stars, last pushed 5mo ago), licensed MIT. It adds 89 tokens to every session and 2,449 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 2026-08-30.
Other skills, from other repositories
save
Save a user-selected answer, decision, insight, or session summary into an Obsidian vault as one reviewed transaction. Use only when the user explicitly asks to preserve specific conversation content, not when they supply a file or URL to ingest. Triggers: /save, save this, save that answer, file this conversation…
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…
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.
wiki-fold
Create a bounded, extractive, structurally idempotent rollup of recent Obsidian wiki log entries, with dry-run preview by default and one optional transaction apply. Use for manual log compression without modifying child pages. Triggers: fold the log, run a fold, run wiki-fold, log rollup, roll up log entries, commit…
wiki-mode
Read or configure the vault filing methodology and suggest destinations for planned knowledge creation under Generic, LYT, PARA, or Zettelkasten. Use for wiki mode, methodology mode, what is my vault mode, set vault mode, switch to PARA, use LYT, Zettelkasten setup, change mode, configure mode, or methodology routing.…
wiki-cli
Detect and use the official Obsidian command-line interface for read-only vault access; use for wiki-cli, Obsidian CLI, Obsidian read, Obsidian search, vault transport, which transport, transport detection, backlinks, tags, or Obsidian command line. Mutations always go through the claude-obsidian transaction core.