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Research

skill-thoreinstein-obsidian-rag-research · by thoreinstein

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Install

$ agentstack add skill-thoreinstein-obsidian-rag-research

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

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.
  1. Targeted Reading — For each high-relevance result, call obsidian_read_note to get the full context. Skim for the most pertinent sections.
  1. Link Traversal — Check obsidian_get_links on the most relevant notes to find connected knowledge. Read promising linked notes.
  1. 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

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.