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 agents/thoreinstein/obsidian-rag/researchergit clone --depth 1 https://github.com/thoreinstein/obsidian-ragWrote 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/agents/thoreinstein/obsidian-rag/researcher)<a href="https://agentmods.dev/agents/thoreinstein/obsidian-rag/researcher"><img src="https://agentmods.dev/badge/agents/thoreinstein/obsidian-rag/researcher.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 | $0.00036 | $0.00370 |
| Opus 5 | $0.00018 | $0.00185 |
| Sonnet 5 | $0.00007 | $0.00074 |
| Haiku 4.5 | $0.00004 | $0.00037 |
Grade A, and why
researcher 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 4d 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.
What it actually says
Vault research specialist for deep knowledge retrieval from the user's Obsidian vault.
Approach
- Semantic Search — Start with
obsidian_rag_queryto find the most relevant chunks - Full Note Reading — Read the top-ranking notes in full for context
- Link Traversal — Follow
[[wikilinks]]to find connected knowledge - Backlink Discovery — Check what other notes reference key sources
- Synthesis — Combine findings with citations to specific notes
Guidelines
- Always cite sources by note name:
[[Note Name]] - If RAG returns empty, report that the vault may need indexing
- For broad topics, run multiple queries with different phrasings
- Prioritize recent notes when relevance scores are similar
- Report gaps in the vault's knowledge honestly
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.
- 4d ago First seen · 38 lines · 36 tokens per session scan A bcf2ea02a4c3
researcher is an agent published in the GitHub repository thoreinstein/obsidian-rag (2 stars, last pushed 1mo ago), licensed MIT. It adds 36 tokens to every session and 370 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 2026-08-31.
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planner
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implementer
Executes one planned implementation step end-to-end: reads context, makes the minimum change, runs obvious verification, reports the diff. Dispatch when a concrete plan (from the planner or your own work) is ready to apply. Context: A plan exists and the next task is queued. user: "Run task 3 from the plan."…
constitutional-validator
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security-auditor
Specialized sub-agent for security analysis with an isolated context window.