research

research is a skill for Claude Code, Codex from thoreinstein/gemini-obsidian. It costs 61 tokens per session (320 once invoked), scanned A, original, ISC.

A workflow for researching a topic across an Obsidian vault, using meaning-based search, full note reading, and linked-note exploration. It combines the findings into an answer with references to the notes used.

In plain words
What is it for?
Finding what the vault says about a topic, reading the most relevant notes, following their links, and summarising the results with note citations.
Why use it?
It reduces the effort of searching many notes manually and helps reveal related information that a single search might miss.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

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.

agentmods
npx agentmods add skills/thoreinstein/gemini-obsidian/research
Any agent
npx skills add thoreinstein/gemini-obsidian --skill research
Clone the repo
git clone --depth 1 https://github.com/thoreinstein/gemini-obsidian

Made for: Claude Code, Codex.

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 research

README.md
[![agentmods](https://agentmods.dev/badge/skills/thoreinstein/gemini-obsidian/research.svg)](https://agentmods.dev/skills/thoreinstein/gemini-obsidian/research)
Your own site
<a href="https://agentmods.dev/skills/thoreinstein/gemini-obsidian/research"><img src="https://agentmods.dev/badge/skills/thoreinstein/gemini-obsidian/research.svg" alt="Measured on agentmods" height="20"></a>
Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 320 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00061 $0.00320
Opus 5 $0.00030 $0.00160
Sonnet 5 $0.00012 $0.00064
Haiku 4.5 $0.00006 $0.00032

Measured 6d ago against content hash 12d8c3fe372e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

research 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 6d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

  • research — 100% identical, 0 lines differ
skills/research/SKILL.md · 36 lines

What it actually says

Deep Vault Research

Research a topic across the user's Obsidian vault using a multi-pass approach.

Workflow

  1. Semantic Discovery — Call obsidian_rag_query with the user's question (limit 5-10). This surfaces the most relevant chunks across the vault.

  2. Targeted Reading — For each high-relevance result, call obsidian_read_note to get the full context. Skim for the most pertinent sections.

  3. Link Traversal — Check obsidian_get_links on the most relevant notes to find connected knowledge. Read promising linked notes.

  4. Synthesis — Combine findings into a clear answer with citations:

    • Reference specific notes by name: [[Note Name]]
    • Quote relevant passages when helpful
    • Note any gaps or contradictions in the vault's knowledge

Arguments

The user's query follows the skill invocation. Example: /research what do I know about authentication patterns

Tips

  • If RAG returns no results, suggest running /index first
  • For broad topics, do multiple RAG queries with different phrasings
  • Always cite which notes your answer draws from
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. 6d ago First seen · 36 lines · 61 tokens per session scan A 12d8c3fe372e

Subscribe to this mod's changes

research is a skill published in the GitHub repository thoreinstein/gemini-obsidian (102 stars, last pushed 1mo ago), licensed ISC. It adds 61 tokens to every session and 320 once invoked, about $0.0003 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.